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sss40’s personal list of talks.

If you have a question about this list, please contact: Sumeetpal Sidhu Singh. If you have a question about a specific talk, click on that talk to find its organiser.

1 upcoming talk and 1229 talks in the archive.

Statistics

Posterior sampling via autoregressive generation

User Kelly Zhang (Imperial College London).

House Centre for Mathematical Sciences MR12, CMS.

House Centre for Mathematical Sciences MR12, CMS.

Friday 08 November 2024, 14:00-15:00

Machine Learning Reading Group @ CUED

Natural Experiments in NLP and Where to Find Them

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

A Light Introduction to Topological Data Analysis

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Tim Hargreaves, Tor Fjelde, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 29 May 2024, 11:00-12:30

Statistics

On Independent Samples along the Langevin Dynamics and Algorithm

User Andre Wibisono, Yale University.

House MR12, Centre for Mathematical Sciences.

Friday 24 May 2024, 14:00-15:00

Statistics

On optimal ranking in crowd-sourcing problems in several scenarios

User Alexandra Carpentier, University of Potsdam.

House MR12, Centre for Mathematical Sciences.

Friday 17 May 2024, 14:00-15:00

Statistics

Rates of convergence for tensor denoising

User Sara van de Geer, ETH Zürich.

House MR12, Centre for Mathematical Sciences.

Friday 03 May 2024, 14:00-15:00

Machine Learning Reading Group @ CUED

Mean Field Theory of NNs

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk

User Adrian Goldwaser, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 01 May 2024, 11:00-12:30

Statistics

Spatial causal inference in the presence of unmeasured confounding and interference

User Georgia Padadogeorgou, University of Florida.

House MR12, Centre for Mathematical Sciences.

Friday 26 April 2024, 14:00-15:00

Machine Learning Reading Group @ CUED

Discussing the Stanford AI Report

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 24 April 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Discussing the Stanford AI Report

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 24 April 2024, 11:00-12:30

Statistics

Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure

User George Degliannidis, University of Oxford.

House MR2, Centre for Mathematical Sciences.

Friday 19 April 2024, 14:00-15:00

Machine Learning Reading Group @ CUED

AI Control

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Dmitrii Krasheninnikov, Lauro Langosco, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 17 April 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural likelihood-free inference

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Yanzhi Chen, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 20 March 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

An Introduction to the Conjugate Gradient Method

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Jihao Andeas Lin, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 13 March 2024, 11:00-12:30

Statistics

User Sofía Villar and David Robertson (MRC Biostatistics Unit, Cambridge).

House MR12, Centre for Mathematical Sciences.

Friday 26 January 2024, 14:00-15:00

Statistics

Non-asymptotic control of a kernel 2-sample test

User Perrine Lacroix (ENS Lyon).

House MR12, Centre for Mathematical Sciences.

Friday 19 January 2024, 14:00-15:00

Machine Learning Reading Group @ CUED

Flow matching, stochastic interpolants and everything in between

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Emile Mathieu, Tor Fjelde and Vincent Dutordoir (Cambridge MLG).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 29 November 2023, 11:00-12:30

Machine Learning @ CUED

User Sourav Chatterjee (Stanford) .

House Centre for Mathematical Sciences MR2.

Wednesday 18 October 2023, 16:30-17:30

Machine Learning Reading Group @ CUED

Quasi-Monte Carlo: structure in the randomness for better sampling

User Isaac Reid, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 18 October 2023, 11:00-12:30

Statistics

Orthogonal prediction of counterfactual outcomes

User Stijn Vansteelandt (Ghent University).

House MR12, Centre for Mathematical Sciences.

Friday 13 October 2023, 14:00-15:00

Statistics

Faster log-concave sampling via algorithmic warm starts

User Sinho Chewi (Institute for Advanced Study).

House MR12, Centre for Mathematical Sciences.

Friday 06 October 2023, 14:00-15:00

Machine Learning @ CUED

Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"

User Jay McClelland, Stanford University .

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 14 September 2023, 15:00-17:00

Statistics

Residual Permutation Test for High-Dimensional Regression Coefficient Testing

User Yuhao Wang, Tsinghua University.

House MR12, Centre for Mathematical Sciences.

Friday 08 September 2023, 14:00-15:00

Machine Learning @ CUED

Compositional mathematics and automatic gradient descent

User Jeremy Bernstein, MIT.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Friday 14 July 2023, 11:00-12:00

Machine Learning Reading Group @ CUED

Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Hanchen Wang, Stanford CS and Genentech gRED.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 28 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Schrödinger bridges, diffusion and SDEs

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Stratis Markou and Shreyas Padhy.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 21 June 2023, 11:00-12:30

Statistics

Response-adaptive randomization in clinical trials: from myths to practical considerations

Canceled

User Sofía Villar and David Robertson (MRC Biostatistics Unit).

House Venue to be confirmed.

Friday 16 June 2023, 00:00-00:00

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Katie Collins, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 14 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Katie Collins, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 14 June 2023, 11:00-12:30

Statistics

Bayesian Inference using Generative Models

Room changed

User John Liechty (Pennsylvania State University).

House MR11/B1.39, Centre for Mathematical Sciences.

Friday 09 June 2023, 14:00-15:00

Machine Learning Reading Group @ CUED

Game theory, distributional reinforcement learning, control and verification

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Prof. Alessandro Abate, Dr. Licio Romao, Dr. Yulong Gao and Dr. Jiarui Gan. University of Oxford.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 07 June 2023, 11:00-12:30

Statistics

Simultaneous Directional Inference

Room changed

User Ruth Heller (Tel-Aviv University).

House MR11/B1.39, Centre for Mathematical Sciences.

Friday 02 June 2023, 14:00-15:00

Machine Learning Reading Group @ CUED

On choosing the mass matrix for Hamiltonian Monte Carlo

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Tor Fjelde and Tim Hargreaves, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 31 May 2023, 11:00-12:30

Statistics

Randomized and exchangeable improvements of Markov's, Chebyshev's and Chernoff's inequalities

User Aaditya Ramdas (Carnegie Mellon University).

House MR12, Centre for Mathematical Sciences.

Friday 26 May 2023, 14:00-15:00

Machine Learning Reading Group @ CUED

Reward Modelling

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Usman Anwar, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 24 May 2023, 11:00-12:30

Statistics

Physics informed spatial and functional data analysis over non-Euclidean domains

User Laura Sangalli (Polytechnic University of Milan).

House MR12, Centre for Mathematical Sciences.

Friday 19 May 2023, 14:00-15:00

Statistics

A powerful empirical Bayes approach for high dimensional replicability analysis

User Hongyuan Cao (Florida State University).

House MR12, Centre for Mathematical Sciences.

Friday 12 May 2023, 14:00-15:00

Machine Learning @ CUED

Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry

User Sam Power, University of Bristol.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 11 May 2023, 11:00-12:00

Machine Learning Reading Group @ CUED

Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the Field

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Miri Zilka, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 10 May 2023, 11:00-12:30

Statistics

Bayesian sensitivity analysis in causal analysis

User Aad van der Vaart (TU Delft).

House MR12, Centre for Mathematical Sciences.

Friday 05 May 2023, 14:00-15:00

Machine Learning Reading Group @ CUED

Learning-based multiscale modeling: computing, data science, and uncertainty quantification

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Burigede Liu.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 03 May 2023, 11:00-12:30

CCIMI Seminars

Fundamental limits of generative AI

User Helmut Bölcskei - ETH Zurich.

House Centre for Mathematical Sciences MR12, CMS.

Friday 28 April 2023, 14:00-15:00

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

User Adrian Goldwaser and Lauro Langosco (University of Cambridge) .

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 19 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

No-regret Dynamics for Multi-agent Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

User Alexander Terenin (University of Cambridge).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 12 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Scalable Approaches to Self-Supervised Learning using Spectral Analysis

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

User Ross Viljoen and Vincent Dutordoir (University of Cambridge).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 05 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Physics-informed machine learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Pingfang Song (University of Cambridge).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 29 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Causal Machine Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Wenlin Chen, Julien Horwood & Juyeon Heo (University of Cambridge).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 22 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

User Manipulation in Recommender Systems

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

User Micah Carroll (UC Berkeley).

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 15 March 2023, 11:00-12:30

Statistics

Statistical Challenges in Genetic Analysis of Biobank Data

Note unusual time

Joint Statistics and CCIMI Seminar (note unusual time)

User Sebastian Reich (University of Potsdam).

House MR12, Centre for Mathematical Sciences.

Friday 10 February 2023, 16:00-17:00

Machine Learning Reading Group @ CUED

{PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances

User Vedant Nanda, MPI-SWS + University of Maryland .

House Hybrid meeting, CBL seminar room, and Zoom https://talks.cam.ac.uk/talk/edit/192845.

Thursday 24 November 2022, 11:30-12:30

Machine Learning Reading Group @ CUED

Information Geometry — Natural Gradient Descent

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

User Andy Lin, MLG.

House Cambridge University Engineering Department, CBL Seminar room BE4-38..

Wednesday 23 November 2022, 11:00-12:30

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

User Felipe Tobar, Universidad de Chile.

House CBL Seminar Room.

Tuesday 22 November 2022, 11:00-12:00

Statistics

Simulation of random fields on Riemannian manifolds

User Annika Lang (Chalmers University of Technology).

House MR12, Centre for Mathematical Sciences.

Friday 18 November 2022, 14:00-15:00

Machine Learning @ CUED

Deep Reinforcement Learning for Multi-Agent Interaction

User Stefano Albrecht, Edinburgh.

House Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Thursday 17 November 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Predicting generalization of ML models.

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

Theory and Practice of Infinitely Wide Neural Networks - Guest Talk

User Roman Novak, Google Brain.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 28 September 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

The unreasonable effectiveness of mathematics in large scale deep learning

User Greg Yang, Microsoft Research.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 06 July 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

The role of meta-learning for few-shot classification

User Eleni Triantafillou, Google Brain.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 29 June 2022, 11:00-12:30

Machine Learning @ CUED

Noise-Aware Differentially Private Synthetic Data

User Antti Honkela, University of Helsinki.

House Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/89002493651?pwd=B_2gKl7va_h0CQ9yoMPSbn2ifYLGi4.1.

Tuesday 28 June 2022, 11:00-12:00

Machine Learning Reading Group @ CUED

Benefits and Shortcomings of Assistance

User Dmitrii Krasheninnikov and Lauro Langosco, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 22 June 2022, 11:00-12:30

Statistics

(CANCELLED) Stochastic Causal Programming for Bounding Treatment Effects

User Ricardo Silva (UCL).

House MR12, Centre for Mathematical Sciences.

Friday 17 June 2022, 14:00-15:00

Machine Learning @ CUED

Estimating RSV seasonality from pandemic disruptions: a modelling study

User Fabienne Krauer, The London School of Hygiene & Tropical Medicine.

House Hybrid, CBL Seminar room, and Zoom https://eng-cam.zoom.us/j/84968458381?pwd=TWM5ZkF2bjdBM09jaVlJZHRUTFlFUT09.

Thursday 16 June 2022, 11:00-12:00

Machine Learning Reading Group @ CUED

Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

User Speaker to be confirmed.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 15 June 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks

User Speaker to be confirmed.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 08 June 2022, 11:00-12:30

Statistics

A machine learning approach for causal structure estimation in high dimensions

User Sach Mukherjee (MRC Biostatistics Unit).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 03 June 2022, 14:00-15:00

Machine Learning Reading Group @ CUED

Rethinking evaluation for machine learning models

User Adrian Goldwaser & Shoaib Siddiqui.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 01 June 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization

User Speaker to be confirmed.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 25 May 2022, 11:00-12:30

Statistics

Optimal prediction of Markov chains without mixing conditions

User Yihong Wu (Yale University).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 13 May 2022, 15:00-16:00

Machine Learning @ CUED

Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks

User Anastasios Angelopoulos, PhD student at UC Berkeley.

House Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/84829493214?pwd=HI3JJJ8nrt6O8AELEzbXvT8ZoBj51t.1.

Friday 13 May 2022, 11:30-12:30

Machine Learning Reading Group @ CUED

How close are these distributions? A brief introduction to statistical distances and divergences.

User David Burt, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 11 May 2022, 11:00-12:30

Statistics

Minimum L1-norm interpolators: Precise asymptotics and multiple descent

User Yuting Wei (University of Pennsylvania).

House MR12, Centre for Mathematical Sciences.

Friday 06 May 2022, 14:00-15:00

Machine Learning Reading Group @ CUED

Bests of ICLR

User Speaker to be confirmed.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 04 May 2022, 11:00-12:30

Machine Learning @ CUED

Graph neural network approach for decentralized multi-robot coordination

User University of Cambridge.

House Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/87988930234?pwd=eHRGTHFtUE9UL0pJOWNtdDF2VDN2UT09.

Thursday 21 April 2022, 11:00-12:00

Machine Learning Reading Group @ CUED

Machine Learning with Quantum Computers

User Amira Abbas and Maria Schuld.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 20 April 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Autoregressive Diffusion Models

User Emiel Hoogeboom.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 30 March 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

An Overview of AI Alignment

User Neel Alex, University of Cambridge.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 23 March 2022, 11:00-12:30

Peter Whittle Lecture

Demystifying Deep Learning

User Rob Nowak (U. Wisconsin).

House Centre for Mathematical Sciences MR2.

Thursday 17 March 2022, 17:00-18:00

Machine Learning Reading Group @ CUED

The Bayesian Learning Rule for Adaptive AI

User Emti Khan, RIKEN center for Advanced Intelligence Project.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 16 March 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Introduction to differential privacy

User Talay Cheema & Ferenc Huszar (University of Cambridge).

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 09 March 2022, 11:00-12:30

Statistics

Random Planted Forest: a directly interpretable tree ensemble

User Enno Mammen (Heidelberg University).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 04 March 2022, 14:00-15:00

Statistics

Interpretable Model-Independent Detection of New Physics Signals

User Purvasha Chakravarti (Imperial College London).

House MR12, Centre for Mathematical Sciences.

Friday 25 February 2022, 14:00-15:00

Machine Learning Reading Group @ CUED

Retrieval Augmented NLP

User Jiri Hron and Nitarshan Rajkumar (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 23 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Circuits and Interpretability

User Lauro Langosco, Elre Oldewage and Juyeon Heo(University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 16 February 2022, 11:00-12:30

Statistics

Robust inference for intractable likelihood models using kernel divergences

User Francois-Xavier Briol (UCL).

House MR12, Centre for Mathematical Sciences.

Friday 11 February 2022, 13:00-14:00

Machine Learning Reading Group @ CUED

Optimal Transport Metrics

User Shreyas Padhy, University of Cambridge.

House Cambridge University Engineering Department ,LR3A.

Wednesday 09 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Learned Compression

User Gergely Flamich and Stratis Markou (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 02 February 2022, 11:00-12:30

Statistics

Two-sample testing of high-dimensional linear regression coefficients via complementary sketching

User Tengyao Wang (LSE).

House MR12, Centre for Mathematical Sciences.

Friday 21 January 2022, 13:30-14:30

Machine Learning Reading Group @ CUED

Diffusion and Score-based Generative Models

User Vincent Dutordoir, Wenlin Chen, Tor Fjelde (University of Cambridge).

House Cambridge University Engineering Department, LR12.

Wednesday 19 January 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

AI Safety

User Neel Alex.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 12 January 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

[Cancelled] Best of Neurips

User Speaker to be confirmed.

House Online-only.

Wednesday 15 December 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Energy-Based Models

User Stratis Markou and James Allingham (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 01 December 2021, 11:00-12:30

Statistics

CANCELLED: Systematic inducement of sparsity

User Heather Battey (Imperial College London).

House MR12, Centre for Mathematical Sciences.

Friday 26 November 2021, 14:00-15:00

Statistics

Variable elimination and graph reduction: towards an efficient g-formula for causal DAGs

User Richard Guo (University of Cambridge).

House MR12, Centre for Mathematical Sciences.

Friday 19 November 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

Deep Kernels

User Sebastian Ober and Austin Tripp (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 17 November 2021, 11:00-12:30

Statistics

Random Graph Asymptotics for Treatment Effect Estimation under Network Interference

User Shuangning Li (Stanford University).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 12 November 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Mean Field Theory of NN (postponed to March 2022)

User Speaker to be confirmed.

House Cambridge University Engineering Department ,LR3A.

Wednesday 10 November 2021, 11:00-12:30

Statistics

New Approaches for Inference on Optimal Treatment Regimes

User Lan Wang (University of Miami).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 05 November 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Representation Learning: A Causal Perspective

User Yixin Wang.

House https://eng-cam.zoom.us/j/86187336902?pwd=eUtxZGsvandXQ1dXKzJkWXdlTFpqQT09.

Thursday 04 November 2021, 15:30-17:00

Machine Learning Reading Group @ CUED

Ethics, Integrity and Good Practice in ML

User Ross Clarke (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

Wednesday 03 November 2021, 11:00-12:30

Statistics

MARS via LASSO

User Aditya Guntuboyina (UC Berkeley).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 29 October 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Implicit Regularization in Deep Learning

User Jezabel Garcia, Alberto Bernacchia (MediaTek Research).

House Cambridge University Engineering Department ,LR3A.

Wednesday 27 October 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Planning Meeting + PI Presentations

User CBL and Computer Lab PIs.

House Cambridge University Engineering Department ,LR3A.

Wednesday 20 October 2021, 11:00-12:30

Statistics

TBC

User Lester Mackey (Microsoft Research).

House Zoom.

Friday 15 October 2021, 16:00-17:00

Statistics

Kernel Thinning and Stein Thinning

User Lester Mackey (Microsoft Research).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 15 October 2021, 16:00-17:00

Statistics

Global testing for dependent Bernoullis

User Sumit Mukherjee (Columbia University).

House https://maths-cam-ac-uk.zoom.us/j/93998865836?pwd=VzVzN1VFQ0xjS3VDdlY0enBVckY5dz09.

Friday 08 October 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models

User Matej Zecevic, TU Darmstadt.

House https://cuhk-edu-cn.zoom.us/j/91529611509?pwd=WFBqeFdVc3J1cE9rV2NaMXJtM2RQQT09.

Friday 24 September 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin

User Cristina Savin, New York University.

House https://eng-cam.zoom.us/j/85184505624?pwd=WnhWZWR1SjhxUXFDOWtPT2c2cG90Zz09.

Friday 09 July 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister

User Jean-Pascal Pfister, University of Zurich and ETH Zurich.

House https://eng-cam.zoom.us/j/84626937837?pwd=RC95RTdybkRlNHhOcThjclQzYUxkdz09.

Friday 02 July 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Finale Doshi-Velez

User Finale Doshi-Velez, Harvard University.

House https://eng-cam.zoom.us/j/89542469691?pwd=bVJjdXJGd3BkaDk1SHk3a1dLZzlZUT09.

Friday 11 June 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Pseudo-Points and State-Space Gaussian Processes

User Will Tebbutt (University of Cambridge).

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 09 June 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.

User David Duvenaud, University of Toronto.

House https://eng-cam.zoom.us/j/84495932262?pwd=MlFJL3Z3c1JmenFOY2xJQTNPSzdsQT09.

Friday 04 June 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

The Statistical Finite Element Method

User Mark Girolami (University of Cambridge).

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 02 June 2021, 11:00-12:30

Statistics

Distribution-free inference for regression: discrete, continuous, and in between

User Rina Foygel Barber, University of Chicago.

House https://maths-cam-ac-uk.zoom.us/j/95871364531?pwd=aFZaV0loSWt6QmRDbm5ONWNjTTBjZz09.

Friday 28 May 2021, 16:00-17:00

Statistics

Distribution-Free Nonparametric Inference Based on Optimal Transport: Efficiency Lower Bounds and Rank-Kernel Tests

User Bhaswar Bhattacharya, University of Pennsylvania.

House https://maths-cam-ac-uk.zoom.us/j/95871364531?pwd=aFZaV0loSWt6QmRDbm5ONWNjTTBjZz09.

Friday 21 May 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk - Our Power as Technical Designers

User Shakir Mohamed, Deepmind.

House https://eng-cam.zoom.us/j/84960287802?pwd=N1pTZGpKMjhhMTVVV1RNSS9Gc3Jqdz09.

Friday 14 May 2021, 16:00-17:00

Statistics

Correlated randomly growing graphs

User Miklos Racz, Princeton University.

House https://maths-cam-ac-uk.zoom.us/j/95871364531?pwd=aFZaV0loSWt6QmRDbm5ONWNjTTBjZz09.

Friday 14 May 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Best of ICLR

User Speaker to be confirmed.

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 12 May 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning

User Mark van der Wilk, Imperial College London.

House https://eng-cam.zoom.us/j/82969702755?pwd=L0dIVnlwSHJHV2NGbUQ1cmxpYjIyUT09.

Friday 30 April 2021, 16:00-17:00

Statistics

Recent progress on the KLS conjecture and Eldan’s stochastic localization scheme

User Yuansi Chen, Duke University.

House https://maths-cam-ac-uk.zoom.us/j/95871364531?pwd=aFZaV0loSWt6QmRDbm5ONWNjTTBjZz09.

Friday 30 April 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

An Introduction to PAC-Bayes

User Andrew Foong, David Burt and Javier Antoran (University of Cambridge).

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 21 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Automated Augmented Conjugate Inference for Gaussian Processes

User Théo Galy-Fajou (TU Berlin).

House https://eng-cam.zoom.us/j/81961210430?pwd=cUZGbzU4NzJickd5THlsYzJ4cmlndz09.

Tuesday 20 April 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning

User Andrew Gordon Wilson.

House https://eng-cam.zoom.us/j/82969702755?pwd=L0dIVnlwSHJHV2NGbUQ1cmxpYjIyUT09.

Friday 16 April 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Online Learning and Online Convex Optimisation

User Siddharth Swaroop (University of Cambridge).

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 14 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Monte Carlo Gradient Estimation in Machine Learning

User James Allingham (University of Cambridge).

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 07 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Secondmind's research activities to make Gaussian Processes industry proof

User Nicolas Durrande, Director of Research at Secondmind.

House https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Wednesday 31 March 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

User Yaniv Yacoby, Harvard University.

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 24 March 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Gaussian Processes I have Known

User Anthony O'Hagan, University of Sheffield.

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 17 March 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Causal Representation Learning

User Chaochao Lu, University of Cambridge.

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 10 March 2021, 11:00-12:30

Statistics

Functional Models for Time Varying Random Objects

User Paromita Dubey, Stanford University.

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 05 March 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Long-Range Transformers

User Valerii Likhosherstov, University of Cambridge.

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 03 March 2021, 11:00-12:30

Statistics

Seminar Cancelled

User Rina Foygel Barber (University of Chicago).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 26 February 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Inference in Stochastic Processes

User Javier Antoran (University of Cambridge), Matthew Ashman (University of Cambridge), Stratis Markou (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 24 February 2021, 11:00-12:30

Statistics

Optimal rates for independence testing via U-statistic permutation tests

User Tom Berrett, University of Warwick.

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 19 February 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Fairness in AI

User Elre Oldewage (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 17 February 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Variational Bayes as Surrogate Regression

User Will Tebbutt (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 10 February 2021, 11:00-12:30

Statistics

Distribution-Free, Risk-Controlling Prediction Sets

User Stephen Bates, University of California Berkeley.

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 05 February 2021, 16:00-17:00

Statistics

A precise high-dimensional asymptotic theory for Adaboost

User Pragya Sur (Harvard University).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 22 January 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian optimization / Gaussian Process Bandits

User Sattar Vakili (MediaTek Research).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 20 January 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Meta-reinforcement learning

User Kris Jensen and Calvin Kao (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 13 January 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Best of NeurIPS

User Speaker to be confirmed.

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 16 December 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural Processes

User Andrew Foong, Stratis Markou and Sebastian Ober (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 02 December 2020, 11:00-12:30

Statistics

Generalized Kernel Two-Sample Tests

User Hao Chen (University of California, Davis).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 27 November 2020, 16:00-17:00

Machine Learning Reading Group @ CUED

Large-scale sequential experimentation

User Wessel Bruinsma and Jiri Hron (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 25 November 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Symmetries in Reinforcement Learning

User Robert Pinsler and Adria Garriga Alonso (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 18 November 2020, 11:00-12:30

Statistics

Provable representation learning in deep learning

User Jason Lee (Princeton University).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 13 November 2020, 16:00-17:00

Machine Learning Reading Group @ CUED

Gradient-based Hyperparameter Optimisation

User Ross Clarke (University of Cambridge).

House https://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

Wednesday 11 November 2020, 11:05-12:30

Statistics

Minimax estimation of smooth densities in Wasserstein distance

User Jonathan Niles-Weed (Courant Institute).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 06 November 2020, 16:00-17:00

Machine Learning Reading Group @ CUED

Best Papers from ICML 2020

User Reading group participants.

House https://meet.google.com/wdk-qnzb-iet.

Wednesday 04 November 2020, 11:00-12:30

Statistics

Model selection for estimation of causal parameters

User Dominik Rothenhaeusler (Stanford University).

House https://maths-cam-ac-uk.zoom.us/j/92821218455?pwd=aHFOZWw5bzVReUNYR2d5OWc1Tk15Zz09.

Friday 30 October 2020, 16:00-17:00

Statistics

Title to be confirmed

User Jonathan Niles-Weed (Courant Institute).

House Venue to be confirmed.

Tuesday 06 October 2020, 16:00-17:00

Machine Learning @ CUED

Efficient and Structured Uncertainty: Challenges and Opportunities

User Andrey Malinin, Yandex Research.

House Virtual (see abstract for Zoom link).

Wednesday 22 July 2020, 11:00-12:00

Machine Learning Reading Group @ CUED

Active Learning

User Austin Tripp and Erik Daxberger (University of Cambridge).

House https://meet.google.com/xom-namz-rzv.

Wednesday 24 June 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Recent advances in the theory and applications of VAEs

User Gergely Flamich and Alexandru Cioba.

House Venue to be confirmed.

Wednesday 17 June 2020, 11:00-12:30

Statistics

Implicit Regularization for Optimal Sparse Recovery

User Varun Kanade, University of Oxford.

House https://zoom.us/j/95022384263?pwd=N3Z6elB2Vy9Jajd6azlCNjFHQVlKdz09.

Friday 29 May 2020, 14:00-15:00

Statistics

Improved Nonparametric Empirical Bayes Estimation using Transfer Learning

User Gourab Mukherjee, University of Southern California.

House https://zoom.us/j/95022384263?pwd=N3Z6elB2Vy9Jajd6azlCNjFHQVlKdz09.

Friday 22 May 2020, 14:00-15:00

Statistics

Network Representation Using Graph Root Distributions

User Jing Lei, Carnegie Mellon University.

House https://zoom.us/j/95022384263?pwd=N3Z6elB2Vy9Jajd6azlCNjFHQVlKdz09.

Friday 15 May 2020, 14:00-15:00

Statistics

Neyman-Pearson Classification

User Xin Tong, University of Southern California.

House https://zoom.us/j/95022384263?pwd=N3Z6elB2Vy9Jajd6azlCNjFHQVlKdz09.

Friday 08 May 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Best of ICLR 2020

User (University of Cambridge).

House https://meet.google.com/eqr-irxn-irx.

Wednesday 06 May 2020, 11:00-12:30

Statistics

Spillover Effects in Cluster Randomized Trials with Noncompliance

User Hyunseung Kang, University of Wisconsin.

House Zoom Meeting https://zoom.us/j/98898559684?pwd=MTZ2Q1dvUUZucDdwUXZVVUp1VjhsQT09 Meeting ID: 988 9855 9684 Password: likelihood.

Friday 01 May 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Differentiable Planning

User Will Tebbutt, Robert Pinsler.

House https://meet.google.com/zza-agyt-koa.

Wednesday 29 April 2020, 11:00-12:30

Statistics

Langevin Monte Carlo for Degenerately Convex Potentials

User Murat Erdogdu, University of Toronto.

House Zoom Meeting https://zoom.us/j/96976140978 Meeting ID: 969 7614 0978 Password: likelihood.

Friday 24 April 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Recent Developments in Bayesian Deep Learning

User Andrew Foong, Siddharth Swaroop.

House https://meet.google.com/hhq-zqtq-siq.

Wednesday 22 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Strategic Classification

User Jiri Hron (University of Cambridge).

House https://meet.google.com/hmo-aaio-agh.

Wednesday 15 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Machine Learning on Sets

User (University of Cambridge).

House https://meet.google.com/qvg-knkr-nrg.

Wednesday 08 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Boltzmann Generators and Stochastic Normalizing Flows

User Vincent Stimper, Michael Bromberg.

House Hangouts Meet (Link provided via e-mail).

Wednesday 01 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

World Models

User Dr Gregor Simm (University of Cambridge).

House Hangouts Meet (Link provided via e-mail).

Wednesday 18 March 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Federated Learning

User Siddharth Swaroop (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 11 March 2020, 11:00-12:30

Statistics

Network change point detection

User Yi Yu, University of Warwick.

House MR12.

Friday 06 March 2020, 15:00-16:00

Machine Learning @ CUED

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

User wellman@umich.edu.

House Engineering Department, CBL Room BE-438..

Thursday 05 March 2020, 11:00-12:00

Statistics

Selection bias, missing data and causal inference

User Kate Tilling, University of Bristol.

House MR12.

Friday 28 February 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Self-Supervised Representation Learning

User Javier Antoran (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 26 February 2020, 11:00-12:30

Statistics

The concept of separable effects for causal mediation and competing risks analyses

User Vanessa Didelez, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

House MR12.

Friday 21 February 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

User Elre Oldewage (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 19 February 2020, 11:00-12:30

Statistics

Posterior contraction rates for potentially nonlinear inverse problems

User Sergios Agapiou, University of Cyprus.

House MR12.

Friday 14 February 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

User Adria Garriga Alonso, Sebastian Ober.

House Engineering Department, CBL Room BE-438.

Wednesday 12 February 2020, 11:00-12:30

Statistics

On Statistical Learning for Individualized Decision Making with Complex Data

User Chengchun Shi, London School of Economics.

House MR12.

Friday 07 February 2020, 14:00-15:00

Statistics

Convergence of Gaussian process emulators with estimated hyper-parameters and applications in Bayesian inverse problems

User Aretha Teckentrup, University of Edinburgh.

House MR12.

Friday 31 January 2020, 14:00-15:00

Statistics

Optimal Transport: Fast Probabilistic Approximation with Exact Solvers

User Yoav Zemel, University of Cambridge.

House MR12.

Friday 24 January 2020, 14:00-15:00

Machine Learning @ CUED

Robust Deep Learning Under Distribution Shift

User Zack Lipton, CMU.

House Engineering Department, CBL Room BE-438..

Friday 24 January 2020, 11:00-12:00

Statistics

Approximate Cross Validation for Large Data and High Dimensions

User Tamara Broderick, Massachusetts Institute of Technology.

House MR12.

Friday 17 January 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Scalable Gaussian Processes

User David Burt, Andrew Foong.

House Engineering Department, CBL Room BE-438.

Wednesday 04 December 2019, 14:00-15:30

Statistics

On the convergence of the Hamiltonian Monte Carlo algorithm and other irreversible MCMC methods

User Alain Durmus — École Normale Superieure, Cachan.

House MR12.

Friday 29 November 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Probabilistic Programming

User Hong Ge and John Bronskill.

House Engineering Department, CBL Room BE-438.

Wednesday 27 November 2019, 14:00-15:30

Statistics

Optimal Transport for Machine Learning

User Gabriel Peyré — École Normale Superieure.

House MR12.

Friday 22 November 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Neural Attention

User Elre Oldewage, George Hron.

House Engineering Department, CBL Room BE-438.

Wednesday 20 November 2019, 14:00-15:30

Statistics

Multiscale Analysis of Bayesian CART

User Veronika Rockova — University of Chicago.

House MR12.

Friday 15 November 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Equivariance and Symmetries in CNNs

User James Allingham, Omer Sella.

House Engineering Department, CBL Room BE-438.

Wednesday 13 November 2019, 14:00-15:30

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

User William Wilkinson, Aalto University, Finland.

House Engineering Department, CBL Room BE-438..

Tuesday 12 November 2019, 11:00-12:00

Statistics

Identifying Cointegration by Eigenanalysis

User Qiwei Yao — London School of Economics.

House MR12.

Friday 08 November 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Hyperparameter Optimisation

User Ross Clarke, Erik Daxberger, Austin Tripp.

House Engineering Department, CBL Room BE-438.

Wednesday 06 November 2019, 14:00-15:30

Statistics

Classification with unknown class conditional label noise on non-compact feature spaces

User Henry Reeve — University of Birmingham.

House MR12.

Friday 01 November 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Meta-Learning or "Learning To Learn"

User John Bronskill, Marton Havasi.

House Engineering Department, CBL Room BE-438.

Wednesday 30 October 2019, 14:00-15:30

Machine Learning @ CUED

Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency

User Haitham Ammar, Huawei.

House Engineering Department, CBL Room BE-438..

Wednesday 30 October 2019, 10:00-11:00

Machine Learning @ CUED

Constructing temporal latent spaces: Representation learning for clustering and imputation on time series

User Vincent Fortuin, ETH Zurich.

House Engineering Department, CBL Room BE-438..

Monday 28 October 2019, 11:00-12:00

Statistics

On Estimation of Unnormalized Density Models

User Song Liu — University of Bristol.

House MR12.

Friday 25 October 2019, 14:00-15:00

Machine Learning @ CUED

Explaining Neural Networks: Post-hoc and Natural Language Explanations

User Oana Camburu, University of Oxford.

House Engineering Department, CBL Room BE-438..

Friday 25 October 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Hamiltonian Monte Carlo for Hierarchical Models

User Vidhi Lalchand.

House Engineering Department, CBL Room BE-438.

Wednesday 23 October 2019, 14:00-15:30

Statistics

Asymptotic normality of certain transformation averages

User Peter Orbanz — University College London.

House MR12.

Friday 18 October 2019, 14:00-15:00

Statistics

Distributed Statistics à la Economics

User Elchanan Mossel (MIT).

House MR12.

Tuesday 15 October 2019, 16:00-17:00

Peter Whittle Lecture

Simplicity and Complexity of Belief-Propagation

User Elchanan Mossel (MIT).

House Centre for Mathematical Sciences MR2.

Monday 14 October 2019, 16:30-17:30

Statistics

On the robustness of gradient-based MCMC algorithms

User Sam Livingstone — University College London.

House MR12.

Friday 11 October 2019, 14:00-15:00

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

User Emti Khan, RIKEN center for Advanced Intelligence Project.

House Engineering Department, CBL Room BE-438..

Tuesday 24 September 2019, 10:00-11:00

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

User Rajbir Nirwan, Goethe University, Frankfurt.

House Engineering Department, CBL Room BE-438..

Wednesday 04 September 2019, 11:00-12:00

Machine Learning @ CUED

Two Approximate Sampling Methods for Bayesian Deep Learning

User Wesley Maddox (New York University).

House Engineering Department, CBL Room BE-438..

Friday 23 August 2019, 11:00-12:00

Machine Learning @ CUED

Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks

User Matthew Willetts and Alexander Camuto, University of Oxford / Alan Turing Institute.

House Engineering Department, CBL Room BE-438..

Wednesday 17 July 2019, 14:00-15:00

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

User Amos Storkey, School of Informatics, University of Edinburgh.

House Engineering Department, CBL Room BE-438..

Friday 12 July 2019, 11:00-12:00

Machine Learning @ CUED

Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference

User Trevor Campbell, University of British Columbia.

House Engineering Department, CBL Room BE-438..

Wednesday 26 June 2019, 11:00-12:00

Statistics

Regularized linear autoencoders, the Morse theory of loss, and backprop in the brain

User Jon Bloom (Broad Institute of MIT and Harvard).

House MR12.

Monday 24 June 2019, 14:00-15:00

Machine Learning @ CUED

Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition

User Konstantinos P. Panousis.

House Engineering Department, CBL Room BE-438..

Thursday 20 June 2019, 11:00-12:00

Machine Learning @ CUED

Information Consumption on Social Media: Efficiency, Trust, and Divisiveness

User Reza Babaei.

House Engineering Department, CBL Room BE-438..

Tuesday 11 June 2019, 15:00-15:30

Statistics

Geometrizing rates of convergence under local differential privacy

User Lukas Steinberger, University of Freiburg.

House MR12.

Friday 07 June 2019, 16:00-17:00

Statistics

Recent Developments in the Study of Single-Index Type Models

User Mouli Banerjee, University of Michigan.

House MR12.

Friday 07 June 2019, 14:00-15:00

Statistics

Nonparametric maximum likelihood methods for binary response models with random coefficients

User Roger Koenker, University College London.

House MR12.

Friday 31 May 2019, 16:00-17:00

Statistics

Communication in the presence of sparsity

User Yiannis Kontoyiannis (Cambridge).

House Centre for Mathematical Sciences, meeting room MR14.

Wednesday 29 May 2019, 14:00-15:00

Statistics

MAP estimators and posterior consistency for Bayesian inverse problems with exponential priors

User Masoumeh Dashti, University of Sussex.

House MR12.

Friday 24 May 2019, 16:00-17:00

Statistics

On distributed Bayesian computation

User Harry van Zanten, University of Amsterdam.

House MR12.

Friday 17 May 2019, 16:00-17:00

Machine Learning @ CUED

Why Do We Need New Hardware & Software for Machine Intelligence?

User Victoria Rege, Scott Griffiths.

House Engineering Department, CBL Room BE-438..

Friday 17 May 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Particle MCMC

User Will Tebbutt (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 15 May 2019, 14:00-15:30

Statistics

On the Consistency of Supervised Learning with Missing Values

User Julie Josse, École Polytechnique.

House MR12.

Friday 10 May 2019, 16:00-17:00

Statistics

[Special Statslab Seminar] Scalable methods for machine learning optimisation

User Milan Vojnovic (LSE).

House MR12.

Friday 10 May 2019, 14:00-15:00

Statistics

[Special Statslab Seminar] Scalable stochastic optimization and large-scale data

User Michael W. Mahoney (ICSI and Department of Statistics, UC Berkeley).

House MR11, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Wednesday 08 May 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Stochastic Differential Equations

User David Burt.

House Engineering Department, CBL Room BE-438.

Wednesday 08 May 2019, 14:00-15:30

Machine Learning @ CUED

Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees

User Umut Şimşekli, Télécom Paristech.

House Engineering Department, CBL Room BE-438..

Tuesday 07 May 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Generalisation in neural networks

User Marton Havasi.

House Engineering Department, CBL Room BE-438.

Wednesday 01 May 2019, 14:00-15:30

Statistics

Nuisance parameters

User Heather Battey, Imperial College London.

House MR12.

Friday 26 April 2019, 16:00-17:00

Machine Learning Reading Group @ CUED

An Overview of Normalizing Flows

User Robert Pinsler.

House Engineering Department, CBL Room BE-438.

Wednesday 24 April 2019, 14:00-15:30

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

User Abir De, Max Planck Institute for Software Systems.

House Engineering Department, CBL Room BE-438..

Monday 08 April 2019, 11:00-12:00

Machine Learning @ CUED

Global model explainability via aggregation

User Umang Bhatt, CMU.

House Engineering Department, CBL Room BE-438..

Thursday 04 April 2019, 16:00-16:45

Machine Learning Reading Group @ CUED

Sampling as Optimization

User Eric Nalisnick, University of Cambridge.

House Engineering Department, CBL Room BE-438.

Wednesday 03 April 2019, 13:45-15:15

Machine Learning @ CUED

Robust machine learning for causal inference in health care

User David Sontag, MIT.

House Engineering Department, CBL Room BE-438..

Wednesday 27 March 2019, 11:00-12:00

Computational Neuroscience

The K-FAC method for neural network optimization

User James Martens, Google Deep Mind.

House Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Thursday 14 March 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Implicit Variational Inference

User Andrew Foong (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 13 March 2019, 13:45-15:15

Statistics

Explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems

User Kostas Zygalakis, University of Edinburgh.

House MR12.

Friday 08 March 2019, 16:00-17:00

Machine Learning Reading Group @ CUED

Continual Learning: Definitions, Benchmarks, and Approaches

User Siddharth Swaroop (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 06 March 2019, 13:45-15:15

Statistics

Analysis of Networks via the Sparse β-Model

User Chenlei Leng, University of Warwick.

House MR12.

Friday 01 March 2019, 16:00-17:00

Machine Learning Reading Group @ CUED

Causal Inference and Causal Reinforcement Learning

User Chaochao Lu (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 27 February 2019, 13:45-15:15

Statistics

High-dimensional sign tests for the direction of a skewed single-spiked distribution

User Davy Paindaveine, Université Libre de Bruxelles.

House MR12.

Friday 22 February 2019, 16:00-17:00

Machine Learning Reading Group @ CUED

Generative models for few-shot prediction tasks

User Marta Garnelo (Google DeepMind).

House Engineering Department, CBL Room BE-438.

Wednesday 20 February 2019, 13:45-15:15

Statistics

On the fundamental understanding of distributed computation

User Botond Szabó, University of Leiden.

House MR12.

Friday 15 February 2019, 16:00-17:00

Machine Learning @ CUED

Online Meta-Learning

User Massimiliano Pontil, University College London.

House Engineering Department, CBL Room BE-438..

Thursday 14 February 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Logical Uncertainty

User Adrià Garriga Alonso (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 13 February 2019, 13:45-15:15

Statistics

Post-selection confidence intervals and confidence curves

User Gerda Claeskens, Katholieke Universiteit Leuven .

House MR12.

Friday 08 February 2019, 16:00-17:00

Statistics

Model selection with Lasso-Zero and a robust extension with an application to the problem of missing covariates

User Sylvain Sardy, Université de Genève.

House MR12.

Friday 01 February 2019, 16:00-17:00

Computational Neuroscience

High-dimensional dynamics of generalization error in neural networks: implications for experience replay

User Dr. Andrew Saxe, University of Oxford.

House Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Friday 01 February 2019, 12:30-13:30

Machine Learning @ CUED

Gauge Equivariant Convolutional Networks on Manifolds

User Taco Cohen.

House Engineering Department, CBL Room BE-438..

Thursday 31 January 2019, 13:30-14:30

Machine Learning Reading Group @ CUED

Stein Discrepancy

User Sebastian Ober (University of Cambridge).

House Engineering Department, CBL Room 438.

Monday 28 January 2019, 14:00-15:30

Statistics

Geometric MCMC for infinite-dimensional Bayesian Inverse Problems

User Alexandros Beskos, University College London .

House MR12.

Friday 25 January 2019, 16:00-17:00

Machine Learning @ CUED

Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems

User Tom Everitt (DeepMind).

House Engineering Department, LR5 (in front of library, 1st floor).

Friday 25 January 2019, 11:00-12:00

Statistics

On the hypocoercivity of some PDMP-Monte Carlo algorithms

User Christophe Andrieu, University of Bristol.

House MR12.

Friday 18 January 2019, 16:00-17:00

Machine Learning @ CUED

Fairness for Sequential Decision Making Algorithms

User Hoda Heidari.

House Engineering Department, CBL Room BE-438..

Thursday 17 January 2019, 11:00-12:00

Machine Learning @ CUED

Gaussian processes for inferring latent functions in complex data models

User Martin Tegner.

House Engineering Department, CBL Room BE-438..

Tuesday 18 December 2018, 10:30-11:00

Machine Learning Reading Group @ CUED

Neural Ordinary Differential Equations

User Eric T Nalisnick (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 28 November 2018, 14:00-15:30

Statistics

Posterior concentration for Bayesian regression trees and their ensembles

User Stephanie van der Pas, University of Leiden.

House MR12.

Friday 23 November 2018, 16:00-17:00

Machine Learning Reading Group @ CUED

Natural gradient in deep neural networks

User Alberto Bernacchia (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 21 November 2018, 14:00-15:30

Statistics

Concentration of tempered posteriors and of their variational approximations

User Pierre Alquier, ENSAE.

House MR12.

Friday 16 November 2018, 16:00-17:00

Machine Learning Reading Group @ CUED

Graph Neural Networks

User Matej Balog (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 14 November 2018, 14:00-15:30

Statistics

Phase transitions on community detectability for various types of stochastic block models

User Laurent Massoulié, INRIA.

House MR12.

Friday 09 November 2018, 16:00-17:00

Machine Learning Reading Group @ CUED

Defending Against Adversarial Attacks

User Ross Clarke (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 07 November 2018, 14:00-15:30

Statistics

Towards a better understanding of early stopping for boosting algorithms

User Yuting Wei, Stanford University.

House MR12.

Friday 02 November 2018, 16:00-17:00

Machine Learning Reading Group @ CUED

Reinforcement Learning and Control as Probabilistic Inference

User Robert Pinsler, Calvin Kao.

House Engineering Department, CBL Room 438.

Wednesday 31 October 2018, 14:00-15:30

Statistics

Bayesian regression models for complex spatially or serially correlated functional data

User Jeffrey Morris, MD Anderson Cancer Center.

House MR12.

Friday 26 October 2018, 16:00-17:00

Statistics

Nonparametric Bayes for support boundary recovery

User Johannes Schmidt-Hieber, University of Leiden.

House MR12.

Friday 19 October 2018, 16:00-17:00

Statistics

Uniform rates of Glivenko-Cantelli convergence and their use in Bayesian inference

User Emanuele Dolera, Università degli Studi di Pavia.

House MR12.

Friday 12 October 2018, 16:00-17:00

Statistics

Heteroskedastic PCA: Algorithm, Optimality, and Applications

User Tony Cai, University of Pennsylvania.

House MR13.

Thursday 11 October 2018, 16:00-17:00

Machine Learning @ CUED

Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms

User Mihaela van der Schaar .

House Engineering Department, CBL Room BE-438..

Thursday 11 October 2018, 11:00-12:00

Peter Whittle Lecture

When Statistics Meets Computing

User Professor Tony Cai (Wharton, University of Pennsylvania).

House Centre for Mathematical Sciences MR2.

Wednesday 10 October 2018, 17:00-18:00

Machine Learning @ CUED

Interpretability - the myth, questions, and some answers

User Been Kim, Google Brain.

House Engineering Department, Board Room on the 2nd Floor.

Monday 10 September 2018, 11:00-12:00

Machine Learning @ CUED

Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)

User Biwei Huang, CMU.

House dyson teaching room (TBC).

Friday 24 August 2018, 11:00-12:00

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

User Emtiyaz Khan, team leader (equivalent to Full Professor) at the RIKEN center for Advanced Intelligence Project (AIP) in Tokyo.

House Engineering Department, CBL Room BE-438..

Monday 16 July 2018, 11:00-12:00

Machine Learning @ CUED

Variance in Policy Gradient methods and Learning Sequential Latent Variable Models

User George Tucker, Google Brain.

House Engineering Department, CBL Room BE-438..

Wednesday 04 July 2018, 11:00-12:00

Machine Learning @ CUED

Structured deep models: Deep learning on graphs and beyond

User Thomas Kipf (Uni of Amsterdam).

House Engineering Department, CBL Room BE-438..

Thursday 21 June 2018, 11:00-12:00

Statistics

Sketchy decisions: Low-rank convex matrix optimization with optimal storage

User Joel Tropp (Caltech).

House MR12.

Monday 18 June 2018, 16:00-17:00

Machine Learning @ CUED

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

User Prof. Michael Kearns (University of Pennsylvania).

House Cambridge University Engineering Department, Lecture Room 4.

Thursday 14 June 2018, 11:00-12:00

Statistics

What is the dimension of a stochastic process?

User Victor Panaretos (EPFL).

House MR11.

Thursday 07 June 2018, 16:00-17:00

Statistics

Title to be confirmed

User Sabyasachi Chatterjee (UIUC).

House MR12.

Friday 01 June 2018, 16:00-17:00

Machine Learning @ CUED

Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features

User Julius von Kugelgen.

House Engineering Department, CBL Room BE-438..

Wednesday 23 May 2018, 11:30-12:00

Statistics

On momentum methods and acceleration in stochastic optimization

User Praneeth Netrapalli (Microsoft Research India).

House MR14.

Monday 21 May 2018, 16:00-17:00

Statistics

Bayesian estimation of the mean response in a missing data model

User Kolyan Ray (King's College London).

House MR12.

Friday 18 May 2018, 16:00-17:00

Statistics

Multiple change point estimation based on moving sum statistics

User Claudia Kirch (Magdeburg).

House MR12.

Friday 11 May 2018, 16:00-17:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

User Ana Stoica, Columbia University.

House Engineering Department, CBL Room BE-438..

Wednesday 09 May 2018, 11:00-12:00

Statistics

Orbit recovery from invariants

User Jonathan Weed (MIT).

House MR12.

Friday 27 April 2018, 16:00-17:00

Machine Learning @ CUED

A Bayesian Perspective on Generalization and SGD

User Dr. Samuel L. Smith, Google Brain.

House Cambridge University Engineering Department, Lecture Room 11.

Tuesday 17 April 2018, 11:00-12:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

User Ana Stoica, Columbia University.

House Engineering Department, CBL Room BE-438..

Sunday 15 April 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Neural Networks and Natural Language Processing

User Matej Balog (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 08 March 2018, 13:30-15:00

Machine Learning @ CUED

Structure in tensor-variate data: a trivial byproduct of simpler phenomena?

User John P. Cunningham.

House CBL Seminar Room.

Tuesday 06 March 2018, 11:00-12:00

Statistics

On the gap between local recovery guarantees in structured compressed sensing and oracle estimates

User Claire Boyer (UPMC).

House MR12.

Friday 02 March 2018, 14:00-15:00

Machine Learning Reading Group @ CUED

Information Theory, Codes, and Compression

User Christian Steinruecken (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 01 March 2018, 13:30-15:00

Statistics

Approximations of the Restless Bandit Problem

User Azadeh Khaleghi (Lancaster).

House MR12.

Friday 23 February 2018, 16:00-17:00

Machine Learning @ CUED

Lipschitz Global Optimization

User Professor Yaroslav D Sergeyev, Universita della Calabria.

House CBL Seminar Room.

Friday 16 February 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Statistical Learning Theory

User Maria Lomeli.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 15 February 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

Deep Generative Models

User Jonathan Gordon; Alexander Matthews.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 01 February 2018, 13:30-15:00

Statistics

Bayesian nonparametric estimation of the intensities in multivariate Hawkes processes

User Judith Rousseau (Oxford).

House MR12.

Friday 26 January 2018, 16:00-17:00

Machine Learning Reading Group @ CUED

Minimum Description Length

User Carl E. Rasmussen; Niki Kilbertus.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 25 January 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

Machine Learning for Sounds

User Akisato Kimura.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 11 January 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

NIPS 2017 Highlights

User Speaker to be confirmed.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 14 December 2017, 13:30-15:00

Machine Learning @ CUED

Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors

User Manfred Opper, TU Berlin.

House Engineering Department, CBL Room BE-438..

Wednesday 13 December 2017, 13:30-14:30

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

User Professor Andrew Wilson, Cornell University.

House CBL Seminar Room.

Wednesday 13 December 2017, 11:00-12:00

Machine Learning @ CUED

AI for Inclusive Finance

User Alan Qi and Le Song.

House CBL Seminar Room.

Friday 01 December 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

Hardware Efficient Machine Learning

User Robert Peharz; Marton Havasi.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 30 November 2017, 13:30-15:00

Machine Learning @ CUED

Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.

User Geoff Roeder (University of Toronto).

House CBL Seminar Room.

Monday 27 November 2017, 11:00-12:00

Statistics

From linear programming to statistics: Fast algorithms for sampling based on interior point methods

User Martin Wainwright (UC Berkeley).

House MR12.

Friday 24 November 2017, 15:30-16:30

Statistics

Optimal Sup-norm Rates and Uniform Inference on Nonlinear Functionals of Nonparametric IV Regression

User Xiaohong Chen (Yale).

House MR12.

Friday 24 November 2017, 14:00-15:00

Machine Learning @ CUED

Learning to Learn without Gradient Descent by Gradient Descent

User Yutian Chen, DeepMind.

House CBL Seminar Room.

Friday 24 November 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

Learning to Learn

User Siddharth Swaroop; Will Tebbutt.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 23 November 2017, 13:30-15:00

Statistics

Learning from MOM's principles

User Guillaume Lecué (ENSAE).

House MR12.

Friday 17 November 2017, 16:00-17:00

Machine Learning @ CUED

Towards true end-to-end learning & optimization

User Dr Frank Hutter.

House CBL Seminar Room.

Friday 17 November 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

WGAN and Optimal Transport

User Mark Rowland; Wenbo Gong.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 16 November 2017, 13:30-15:00

Statistics

Accelerated Consensus via Min-Sum Splitting

User Patrick Rebeschini (Oxford).

House MR12.

Friday 10 November 2017, 16:00-17:00

Machine Learning Reading Group @ CUED

Interpretability in Machine Learning

User Adrian Weller; Tameem Adel Hesham.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 09 November 2017, 13:30-15:00

Machine Learning Reading Group @ CUED

Deep Structured Prediction for Handwriting Recognition

User Juan Murillo Fuentes.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 02 November 2017, 13:30-15:00

Machine Learning @ CUED

Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making

User Joshua Kroll.

House CBL Seminar Room.

Wednesday 01 November 2017, 11:00-12:00

Statistics

Online nonparametric regression with adversarial data

User Pierre Gaillard (INRIA Paris).

House MR12.

Friday 27 October 2017, 16:00-17:00

Machine Learning Reading Group @ CUED

Cooperative Inverse RL

User Robert Pinsler; Adria Garriga Alonso.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 26 October 2017, 13:30-15:00

Statistics

Analysis of regularized inversion of data corrupted by white Gaussian noise

User Hanne Kekonnen.

House MR12.

Friday 20 October 2017, 16:00-17:00

Machine Learning Reading Group @ CUED

Infer.NET

User John F. Bronskill.

House Engineering Department, CBL Seminar Room 4-38.

Thursday 19 October 2017, 13:30-15:00

Machine Learning @ CUED

Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning

User Prof. Aapo Hyvarinen.

House CBL Room BE-438, Department of Engineering.

Thursday 19 October 2017, 11:00-12:00

Machine Learning @ CUED

Transfer Learning for NLP

User Sebastian Ruder, INSIGHT Centre.

House JDB Seminar Room, CUED.

Friday 13 October 2017, 14:00-15:00

Statistics

CCIMI Seminar: Kernel-based Methods for Bandit Convex Optimization

User Sébastien Bubeck (Microsoft Research Redmond).

House MR12.

Wednesday 04 October 2017, 16:00-17:00

Machine Learning @ CUED

A Bayesian Treatment for Uncertainty -- and its application in health care

User Dr Cheng Zhang.

House CBL Seminar Room.

Tuesday 26 September 2017, 15:00-16:00

Machine Learning @ CUED

Unbiased Estimation of the Eigenvalues of Large Implicit Matrices

User Professor Ryan Adams, Princeton.

House CBL Room BE-438, Department of Engineering.

Thursday 14 September 2017, 11:00-12:00

Machine Learning @ CUED

The Grammar Variational Autoencoder & Counterfactual Fairness

User Dr Matt Kusner.

House CBL Room BE-438, Department of Engineering.

Tuesday 12 September 2017, 11:00-12:00

Machine Learning @ CUED

Accelerating computation of SVM and DNN by binary approximation

User Hironobu Fujiyoshi (Chubu University) .

House CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting

User Mariko Isogawa (NTT Media Intelligence Laboratories) .

House CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Deep learning for autonomous driving

User Takayoshi Yamashita (Chubu University) .

House CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Understanding Black-box Predictions via Influence Functions

User Pang Wei Koh, Stanford University.

House CBL Room BE-438, Department of Engineering.

Thursday 20 July 2017, 14:00-15:00

Machine Learning @ CUED

A simple neural network module for relational reasoning

User David Barrett, DeepMind.

House CBL Room BE-438, Department of Engineering.

Thursday 06 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

User Francesco Caravelli (LANL).

House CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

User Francesco Caravelli (LANL).

House CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Statistics

Decoding from Pooled Data: Information-Theoretic bounds and a Message-Passing Algorithm

User Ahmed El Alaoui (UC Berkeley).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 16 June 2017, 16:00-17:00

Statistics

Variable clustering: optimal bounds and a convex approach

User Nicolas Verzelen (INRA).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 09 June 2017, 15:00-16:00

Statistics

Computationally Efficient Nonparametric Testing

User Guang Cheng (Purdue).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 26 May 2017, 16:00-17:00

Machine Learning @ CUED

On Different Distances Between Distributions and Generative Adversarial Networks

User Martin Arjovsky.

House JDB Seminar Room, CUED.

Thursday 25 May 2017, 11:00-12:00

Statistics

Robust ranking, constrained ranking and rank aggregation via eigenvector and semidefinite programming synchronization

User Mihai Cucuringu (Oxford).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 19 May 2017, 16:00-17:00

Statistics

Constrained low-rank matrix estimation

User Lenka Zdeborova (IPhT).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 12 May 2017, 16:00-17:00

Statistics

Statistical challenges posed by the analyses of the human microbiome

User Susan Holmes (Stanford).

House MR11, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Monday 08 May 2017, 14:00-15:00

Statistics

The Bouncy Particle Sampler

User Alexandre Bouchard-Côté (UBC).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 05 May 2017, 16:00-17:00

Statistics

Geometric aspects of Statistical Learning Theory

User Shahar Mendelson (ANU).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 28 April 2017, 16:00-17:00

Machine Learning Study Group

Deep Learning Book - Meeting 9 - Representation Learning

User Group Discussion.

House CBL Room BE-438.

Tuesday 11 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 8 - Autoencoders

User Group Discussion.

House CBL Room BE-438.

Tuesday 04 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs

User Group Discussion.

House CBL Room BE-438.

Tuesday 21 March 2017, 13:30-15:00

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

User Jiri Hron; Adam Scibior.

House Engineering Department, CBL Room 438.

Thursday 16 March 2017, 13:30-15:00

Information Engineering Division seminar list

Bayesian Optimization for Probabilistic Programs

User Tom Rainforth, University of Oxford.

House Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 15 March 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 6 - Recurrent Neural Networks

User Group Discussion.

House CBL Room BE-438.

Tuesday 14 March 2017, 13:30-15:00

Machine Learning @ CUED

Differentially Private Bayesian Learning

User Dr Antti Honkela, University of Helsinki.

House CBL Room BE-438, Department of Engineering.

Tuesday 14 March 2017, 11:00-12:00

Statistics

Discrete structures and prediction in Bayesian Nonparametrics

User Igor Pruenster (Universita' Bocconi).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 10 March 2017, 16:00-17:00

Computational and Biological Learning Seminar Series

Control, inference and learning

User Prof. dr. H.J. (Bert) Kappen (Radboud University Nijmegen).

House Engineering Department, CBL Room 438.

Friday 10 March 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

Differential Privacy

User John Bradshaw; Alex Matthews.

House Engineering Department, CBL Room 438.

Thursday 09 March 2017, 13:30-15:00

Machine Learning @ CUED

Differential Privacy Tutorial

User Alex Matthews and John Bradshaw, University of Cambridge.

House CBL Room BE-438, Department of Engineering.

Thursday 09 March 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 5 - ResNets and DenseNets

User Group Discussion.

House CBL Room BE-438.

Thursday 02 March 2017, 13:30-15:00

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

User Dylan Hadfield-Menell, UC Berkeley.

House CBL Room BE-438, Department of Engineering.

Thursday 23 February 2017, 15:00-16:00

Machine Learning Study Group

Deep Learning Book - Meeting 4 - Convolutional Networks

User Group Discussion.

House CBL Room BE-438.

Thursday 23 February 2017, 13:30-15:00

Statistics

High frequency statistics of semimartingales

User Mark Podolskij (Aarhus).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 17 February 2017, 16:00-17:00

Machine Learning Reading Group @ CUED

Probabilistic Numerics

User Alessandro Davide Ialongo (MLG - University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 16 February 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

User Group Discussion.

House CBL Room BE-438.

Tuesday 14 February 2017, 13:30-15:00

Statistics

Simultaneous multiple change-point and factor analysis for high-dimensional time series

User Haeran Cho (Bristol).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 10 February 2017, 16:00-17:00

Machine Learning @ CUED

Bayesian optimisation in many dimensions with bespoke probabilistic programs

User Valentin Dalibart.

House CBL Room BE-438, Department of Engineering.

Friday 10 February 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

User Group Discussion.

House CBL Room BE-438.

Tuesday 07 February 2017, 13:30-15:00

Statistics

Sleeping Beauty’s Credences

User Mark Schervisch (CMU).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 03 February 2017, 16:00-17:00

Machine Learning Study Group

Deep Learning Book - Meeting 1 - Deep Feedforward NNs

User Group Discussion.

House CBL Room BE-438.

Tuesday 31 January 2017, 13:30-15:00

Machine Learning @ CUED

Variational Bayes In Private Settings

User Mijung Park, University of Amsterdam.

House CBL Room BE-438, Department of Engineering.

Wednesday 25 January 2017, 15:00-16:00

Machine Learning @ CUED

Julia: Introduction and new developments

User Dr Simon Byrne (Julia Computing).

House CBL Room BE-438, Department of Engineering.

Tuesday 24 January 2017, 11:00-12:00

Statistics

High-Dimensional Bayesian Geostatistics

User Sudipto Banerjee (UCLA).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Monday 23 January 2017, 16:00-17:00

Machine Learning Reading Group @ CUED

NIPS 2016 papers in 5mins

User MLG members.

House Engineering Department, CBL Room 438.

Thursday 19 January 2017, 13:30-15:00

Machine Learning @ CUED

Bayesian optimality and frequentist extended admissibility are equivalent in saturated models

User Daniel Roy (University of Toronto).

House CBL Room BE-438, Department of Engineering.

Thursday 15 December 2016, 11:00-12:00

Machine Learning @ CUED

Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration

User Elena Corina Grigore (Yale University).

House CBL Room BE-438, Department of Engineering.

Wednesday 14 December 2016, 15:00-16:00

Machine Learning @ CUED

Variational autoencoders with latent graphical models

User Prof David Duvenaud (University of Toronto).

House CBL Room BE-438, Department of Engineering.

Tuesday 13 December 2016, 11:00-12:00

Statistics

Gaussian vectors, half-spaces, and convexity

User Joe Neeman (UT Austin & Bonn).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 02 December 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Symmetry in Statistical Models

User Mark Rowland; Maria Lomeli.

House Engineering Department, CBL Room 438.

Thursday 01 December 2016, 13:30-15:00

Machine Learning @ CUED

Learning with limited supervision

User Stefano Ermon, Stanford.

House CBL Room BE-438.

Thursday 01 December 2016, 11:00-12:00

Statistics

Measuring sample quality with diffusions

User Sebastian Vollmer (Oxford).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 25 November 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian Optimization

User Pawel Budzianowiski; Brian Trippe.

House Engineering Department, CBL Room 438.

Thursday 24 November 2016, 13:30-15:00

Machine Learning @ CUED

A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings

User Krzysztof Choromanski, Google NY.

House CBL Room BE-438.

Thursday 24 November 2016, 11:00-12:00

Machine Learning @ CUED

Rejection Sampling Variational Inference

User Francisco J. R. Ruiz (Columbia University & University of Cambridge).

House CBL Room BE-438.

Tuesday 22 November 2016, 11:30-12:30

Statistics

Principal Nested Shape Space Analysis of Molecular Dynamics Data

User Ian Dryden (Nottingham).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 18 November 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

deep generative models

User Dave Janz; James Requeima.

House Engineering Department, CBL Room 438.

Thursday 17 November 2016, 13:30-15:00

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

User Prof. Mark Girolami (University of Warwick).

House CBL Room BE-438, Department of Engineering.

Thursday 17 November 2016, 11:00-12:00

Statistics

Short Course: Lecture 2 - Sample Covariance Operators: Normal Approximation and Concentration

User Professor Vladimir Koltchinskii, Georgia Tech..

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 11 November 2016, 14:00-16:00

Machine Learning Reading Group @ CUED

Sketching methods

User John Bradshaw.

House Engineering Department, CBL Room 438.

Thursday 10 November 2016, 13:30-15:00

Statistics

Short Course: Lecture 1 - Sample Covariance Operators: Normal Approximation and Concentration

User Professor Vladimir Koltchinskii, Georgia Tech..

House MR15, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Wednesday 09 November 2016, 14:00-16:00

Machine Learning @ CUED

A talk in two parts: (1) AI Neuroscience: How much do deep neural networks understand about the images they classify? (2) Robots that can adapt like animals.

Note venue: James Dyson Building

Distributed stochastic optimization for deep learning

Via Skype

User Sixin Zhang (NYU).

House Engineering Department, CBL Room BE-438.

Tuesday 14 June 2016, 10:00-11:00

Statistics

Chaining and convexity

User Ramon van Handel (Princeton).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 10 June 2016, 16:00-17:00

Machine Learning @ CUED

Modeling the Dynamics of Online Learning Activity

User Isabel Valera .

House Engineering Department, CBL Room BE-438.

Thursday 09 June 2016, 11:00-12:00

Machine Learning @ CUED

Developments in Exact Inference in Graphical Models

User Stephen Pasteris (UCL).

House Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 10:30-11:30

Machine Learning @ CUED

Approximation strategies for structure learning in Bayesian networks

Note: via Skype!

User Teppo Niinimäki (Helsinki).

House Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 09:30-10:30

Statistics

A Bayesian nonparametric approach to testing for dependence between random variables

User Sarah Filippi (Oxford).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 03 June 2016, 16:00-17:00

Machine Learning @ CUED

Automated Reasoning and AI for Large Formal Mathematics

User Josef Urban.

House William Gates Building - FW26.

Friday 03 June 2016, 14:00-15:00

Machine Learning Reading Group @ CUED

Partially Observable Markov Decision Processes (POMDPs)

User Rowan McAllister (University of Cambridge), Alex Navarro.

House Engineering Department, CBL Room 438.

Thursday 02 June 2016, 14:30-16:00

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

User Alexander Matthews (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 11:30-12:30

Machine Learning @ CUED

Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models

User Maria Lomeli (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 10:30-11:30

Machine Learning @ CUED

Turing: Rejuvenating Probabilistic Programming in Julia

User Hong Ge (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 09:30-10:30

Machine Learning @ CUED

Towards Weaker Supervision and Simpler Pipelines in Speech Recognition

User Gabriel Synnaeve.

House Engineering Department, CBL Room BE-438.

Friday 27 May 2016, 11:00-12:00

Machine Learning Reading Group @ CUED

Learning polynomials with Neural Networks

User Aldo Pacchiano (Berkeley).

House Engineering Department, CBL Room 438.

Thursday 26 May 2016, 14:30-16:00

Statistics

Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation

User Ming Yuan (U. of Wisconsin).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Tuesday 24 May 2016, 14:00-15:00

Machine Learning @ CUED

Sum-Product Networks for Probabilistic Modeling

User Robert Peharz (TU Graz).

House Engineering Department, CBL Room BE-438.

Tuesday 24 May 2016, 14:00-15:00

Peter Whittle Lecture

Dimers Day in Cambridge

User Boutiller, Chhita, Dubedat, Laslier, Toninelli.

House MR12 Centre for Mathematical Sciences.

Monday 23 May 2016, 10:45-17:45

Statistics

Tail index estimation, concentration, adaptation...

User Stéphane Boucheron (Paris Diderot).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 20 May 2016, 16:00-17:00

Statistics

Random warping functions for function/curve registration

User Karthik Bharath (Nottingham).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 13 May 2016, 16:00-17:00

Machine Learning @ CUED

MLE-Struct: Bethe Learning of Graphical Models

User Kui Tang, Columbia University.

House Engineering Department, CBL Room BE-438.

Friday 13 May 2016, 11:00-12:00

Statistics

Computational Challenges in Sleeping Combinatorial Experts

User Varun Kanade (Oxford).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 06 May 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models

User Maria Lomeli.

House Engineering Department, CBL Room 438.

Thursday 05 May 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Topics in Expectation Propagation

User Yingzhen Li (University of Cambridge), Rich Turner.

House Engineering Department, CBL Room 438.

Thursday 28 April 2016, 14:30-16:00

Statistics

The information complexity of sequential resource allocation

User Emilie Kaufmann (INRIA LIlle).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 22 April 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Deep Q-Learning and AlphaGo

User Shixiang Gu (University of Cambridge); Amar Shah.

House Engineering Department, CBL Room 438.

Thursday 21 April 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

inference failures in probabilistic programming

User Tom Minka (Microsoft Research Ltd).

House Engineering Department, CBL Room 438.

Thursday 14 April 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Variational Methods and Compressed Sensing

User Nilesh Tripuraneni (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 07 April 2016, 14:30-16:00

Machine Learning @ CUED

Inference and Learning in the Anglican Probabilistic Programming System

User Jan-Willem van de Meent (Oxford).

House Engineering Department, CBL Room BE-438.

Tuesday 05 April 2016, 11:00-12:00

Machine Learning Reading Group @ CUED

Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution

User Qi Wei (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 31 March 2016, 14:30-16:00

Statistics

Signal Recovery from Scattering Convolutional Neural Networks

User Joan Bruna (Berkeley).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Thursday 24 March 2016, 15:00-16:00

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

User Jacob Steinhardt (Stanford University).

House Engineering Department, CBL Room BE-438.

Wednesday 16 March 2016, 14:00-15:00

Computational Neuroscience

It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine

User Tom Dean, Google Research.

House Cambridge University Engineering Department, CBL, BE-438 (http://learning.eng.cam.ac.uk/Public/Directions).

Wednesday 16 March 2016, 10:00-11:00

Machine Learning @ CUED

The geometry of uncertainty

User Fabio Cuzzolin, Head of AI and vision, Oxford Brookes University.

House Engineering Department, Boardroom on the 2nd floor (past canteen on the left).

Wednesday 09 March 2016, 14:00-15:00

Statistics

Information bounds for inverse problems with application to deconvolution and Lévy models

User Mathias Trabs (CEREMADE, Paris Dauphine).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 04 March 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Probabilistic programming

User Hong Ge (University of Cambridge); Matej Balog.

House Engineering Department, CBL Room 438.

Thursday 03 March 2016, 14:30-16:00

Statistics

Statistically optimal robust estimation of the precision matrix by convex programming

User Arnak Dalayan (ENSAE).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 26 February 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Learning by learning rich generative models

User Thang Bui (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 25 February 2016, 14:30-16:00

Machine Learning @ CUED

A more Automated Statistician

User David Janz, Oxford University.

House Engineering Department, CBL Room BE-438.

Friday 19 February 2016, 11:30-12:00

Machine Learning Reading Group @ CUED

Natural gradient descent and variational inference

User Mark van der Wilk; Alex Matthews .

House Engineering Department, CBL Room 438.

Thursday 18 February 2016, 14:30-16:00

Statistics

Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans

User Rui Castro (Eindhoven).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 12 February 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Differentiable Data Structures and (if we have time) POMDPs

NOTE Topic Change

User Yarin Gal; Rowan McAllister (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 11 February 2016, 14:30-16:00

Statistics

Statistical algorithms and planted satisfiability problems

User Will Perkins (Birmingham).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 05 February 2016, 16:00-17:00

Statistics

The data-driven (s,S) policy: why you can have confidence in censored demand data

User Gah-Yi Vahn (London School of Business).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 29 January 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Random projection ensemble classification

User Timothy Cannings.

House Engineering Department, CBL Room 438.

Thursday 28 January 2016, 14:30-16:00

Statistics

Nonlinear shrinkage of Eigenvalues in Integrated Covolatility Matrix for Portfolio Allocation in High Frequency Data

User Clifford Lam (LSE).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 22 January 2016, 16:00-17:00

Machine Learning Reading Group @ CUED

Deep learning for time series

User Christof Angermueller(University of Cambridge); David Zoltowski (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 21 January 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Stochastic discrete integration

User Adrian Weller;Nilesh Tripuraneni (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 14 January 2016, 14:30-16:00

Machine Learning @ CUED

General Reinforcement Learning

User Jan Leike (Australian National University).

House Engineering Department, CBL Room BE-438.

Wednesday 16 December 2015, 11:00-12:00

Statistics

Boosting in the presence of outliers: adaptive classification with non-convex loss functions

User Jelena Bradic (UC San Diego).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 11 December 2015, 16:00-17:00

Statistics

Graph-Guided Banding for Covariance Estimation

User Jacob Bien (Cornell University).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 11 December 2015, 14:30-15:30

Statistics

Sparse graphs using exchangeable random measures

User François Caron (Oxford).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 04 December 2015, 16:00-17:00

Statistics

Exact simulation of the Wright-Fisher diffusion

User Paul Jenkins (Warwick).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 27 November 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Stochastic optimization and adaptive learning rates

User Yingzhen Li (University of Cambridge); Mark Rowland.

House Engineering Department, CBL Room 438.

Thursday 26 November 2015, 14:30-16:00

Statistics

Fast low-rank estimation by projected gradient descent: Statistical and algorithmic guarantees

User Martin Wainwright (UC Berkeley).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 20 November 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Logic, Theorem Proving, and Probabilistic Programming

User Christian Steinruecken (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 19 November 2015, 14:30-16:00

Machine Learning Reading Group @ CUED

Connections between kernels, GPs, and NNs

User Matthias Bauer (University of Cambridge); Paul Rubenstein.

House Engineering Department, CBL Room 438.

Thursday 12 November 2015, 14:30-16:00

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

User Dr Yasser Roudi (Kavli Inst, Trondheim & Inst for Advanced Study, Princeton).

House Engineering Department, CBL Room BE-438.

Wednesday 11 November 2015, 12:00-13:00

Statistics

Shape modelling using contours and fields, with applications to image segmentation

User Ian Jermyn (Durham).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 06 November 2015, 16:00-17:00

Statistics

Efficient and Parsimonious Agnostic Active Learning

User Alekh Agarwal (Microsoft Research NY) .

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 06 November 2015, 14:30-15:30

Machine Learning Reading Group @ CUED

Detecting paraphrases using recursive autoencoders

User Feynman Liang.

House Engineering Department, CBL Room 438.

Thursday 05 November 2015, 14:30-16:00

Statistics

Highly-Smooth Zero-th Order Online Optimization

User Vianney Perchet (INRIA & Paris Diderot).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 30 October 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian optimization and its applications

User Dr. Matthew Hoffman (University of Cambridge), Alex Navarro.

House Engineering Department, CBL Room 438.

Thursday 29 October 2015, 14:30-16:00

Statistics

Nonparametric estimation of s-concave and log-concave densities: an alternative to maximum likelihood

User Jon Wellner (University of Washington).

House MR15, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Thursday 22 October 2015, 15:00-16:00

Machine Learning Reading Group @ CUED

LP relaxations for MAP inference

User Adrian Weller (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 22 October 2015, 14:30-16:00

Statistics

Nonstandard complete class theorems

User Daniel Roy (University of Toronto).

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge..

Friday 16 October 2015, 16:00-17:00

Machine Learning @ CUED

Meta-Bayesian Analysis

User Prof. Daniel Roy (University of Toronto).

House Engineering Department, CBL Room BE-438.

Thursday 15 October 2015, 11:00-12:00

Machine Learning @ CUED

Efficient Inference and Learning with Intractable Posteriors? Yes, Please.

User Diederik P. Kingma (University of Amsterdam).

House Engineering Department, CBL Room BE-438.

Wednesday 14 October 2015, 11:00-12:00

Machine Learning @ CUED

Efficient multi-task Gaussian process models for genome-wide association studies

User Francesco Paolo Casale, European Bioinformatics Institute.

House Engineering Department, CBL Room BE-438.

Friday 25 September 2015, 11:00-12:00

Machine Learning @ CUED

Harmonic Exponential Families and Group-Equivariant Convolution Networks

User Taco Cohen (University of Amsterdam).

House Engineering Department, CBL Room BE-438.

Wednesday 16 September 2015, 11:00-12:00

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

User Koh Takeuchi (NTT Communication Science Laboratories).

House Engineering Department, CBL Room BE-438.

Tuesday 15 September 2015, 10:30-11:30

Machine Learning @ CUED

A-Star Sampling Review

User Chris Maddison (U Toronto).

House Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 12:00-13:00

Machine Learning @ CUED

Convex Factorization Machines

User Mathieu Blondel (NTT Communication Science Laboratorie).

House Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 11:00-12:00

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

User Stefano V. Albrecht - School of Informatics at The University of Edinburgh.

House Engineering Department, CBL Room BE-438.

Thursday 10 September 2015, 11:00-12:00

Machine Learning @ CUED

Training and Understanding Deep Neural Networks for Robotics, Design, and Perception

User Jason Yosinski (Cornell).

House Engineering Department, CBL Room BE-438.

Wednesday 09 September 2015, 11:00-12:00

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

User Pedro A. Ortega (University of Pennsylvania).

House Engineering Department, CBL Room BE-438.

Monday 07 September 2015, 11:00-12:00

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

User Dr Adrian Weller (MLG, University of Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 27 August 2015, 15:00-15:30

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

User Dr Andrew Wilson, Carnegie Mellon University.

House Engineering Department, CBL Room BE-438.

Wednesday 29 July 2015, 11:00-12:00

Machine Learning @ CUED

MCMC for non-linear state space models using ensembles of latent sequences

(via Skype!)

User Alex Shestopaloff (University of Toronto).

House Engineering Department, CBL Room BE-438.

Monday 27 July 2015, 15:00-16:00

Machine Learning @ CUED

Gradient-based hyperparameter optimization through reversible learning

User Dr David Duvenaud (Harvard).

House Engineering Department, CBL Room BE-438.

Monday 20 July 2015, 11:00-12:00

Machine Learning @ CUED

Rich Component Analysis

User James Zou (Microsoft Research New England).

House Engineering Department, CBL Room BE-438.

Friday 17 July 2015, 11:00-12:00

Machine Learning @ CUED

A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models

User Maria Lomeli-Garcia, UCL.

House Engineering Department, CBL Room BE-438.

Thursday 16 July 2015, 11:00-12:00

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

Direction-Only Optimisation for Neural Networks

Short talk

User Mark Rowland (Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 06 May 2015, 11:00-11:30

Statistics

Robust Matrix Completion

User Olga Klopp, Université Paris Ouest.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 01 May 2015, 16:00-17:00

Machine Learning @ CUED

Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management

User Creighton Heaukulani, Matt Hoffman, Zoubin Ghahramani, and Andrew Baxter, .

House Cambridge University Engineering Department, Lecture Room 5.

Thursday 30 April 2015, 11:00-12:00

Statistics

Stein estimation of the intensity of a spatial homogeneous Poisson point process

User Marianne Clausel, University of Grenoble.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 24 April 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Causal Inference

User Mateo Rojas-Carulla, Amar Shah.

House Engineering Department, CBL Room 438.

Thursday 23 April 2015, 15:00-16:30

Machine Learning @ CUED

Title to be confirmed

User Tuan Anh Le (Oxford).

House Engineering Department, CBL Room BE-438.

Thursday 23 April 2015, 11:00-12:00

Statistics

A Framework for Elastic Shape Analysis of Objects

User Anuj Srivastava, Florida State University.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 17 April 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Gaussian Process Models for Time Series

User Roger Frigola, Carl Edward Rasmussen.

House Engineering Department, CBL Room 438.

Thursday 16 April 2015, 15:00-16:30

Machine Learning @ CUED

Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference

User Alexis Boukouvalas (Aston University).

House Engineering Department, CBL Room BE-438.

Wednesday 15 April 2015, 11:00-12:00

Statistics

Stable Weights that Balance Covariates for Causal Inference and Estimation with Incomplete Outcome Data

Note the different room

User José Zubizarreta, Columbia University.

House MR11, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Thursday 09 April 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Informational Geometry

User Nilesh Tripuraneni, Shane Gu.

House Engineering Department, CBL Room 438.

Thursday 02 April 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Deep Gaussian Processes

User Richard Turner, Alex Navarro, Thang Bui.

House Engineering Department, CBL Room 438.

Thursday 26 March 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Combinatorial Stochastic Processes in Bayesian Nonparametrics

User Creighton Heaukulani.

House Engineering Department, CBL Room 438.

Thursday 19 March 2015, 15:00-16:30

Machine Learning @ CUED

Evolutionary dynamics in a continuous public goods game

User Matthias Bauer .

House Engineering Department, CBL Room BE-438.

Thursday 19 March 2015, 11:00-12:00

Machine Learning @ CUED

An introduction to the Mondrian Process

User Matej Balog (Oxford).

House Engineering Department, CBL Room BE-438.

Thursday 12 March 2015, 11:00-12:00

Statistics

Resource Allocation for Statistical Estimation

User Quentin Berthet, California Institute of Technology.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Monday 09 March 2015, 16:00-17:00

Statistics

Sparse CCA: Statistical and Computational Limits

User Chao Gao, Yale University.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 06 March 2015, 16:00-17:00

Statistics

Learning Markov Networks for Mixed Big Data: Applications to Cancer Genomics

User Genevera Allen, Rice University.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Thursday 05 March 2015, 16:00-17:00

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

User Genevera I. Allen (Rice University).

House Engineering Department, CBL Room BE-438.

Wednesday 04 March 2015, 11:00-12:00

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

User Dan Stowell (Queen Mary University of London).

House Engineering Department, CBL Room BE-438.

Monday 02 March 2015, 11:00-12:00

Statistics

Complexity analysis of the Lasso regularization path and an application of sparsity to isoform detection in RNA-seq data

User Julien Mairal, INRIA, Grenoble.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 27 February 2015, 16:00-17:00

Machine Learning @ CUED

A* Sampling

User Chris Maddison (U Toronto).

House Engineering Department, CBL Room BE-438..

Tuesday 24 February 2015, 11:00-12:00

Statistics

Spectral thresholding in quantum state estimation for low rank states

User Madalin Guta, University of Nottingham.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 20 February 2015, 16:00-17:00

Statistics

Some ideas in nonparametric estimation

User Piotr Fryzlewicz, London School of Economics.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 13 February 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo

User Matt Hoffman; Yutian Chen.

House Engineering Department, CBL Room 438.

Thursday 12 February 2015, 15:00-16:30

Machine Learning @ CUED

Orthologous networks in biological systems

User Dr Christopher Penfold (Warwick).

House Engineering Department, CBL Room BE-438..

Wednesday 11 February 2015, 11:00-12:00

Statistics

Algorithmic Approaches to Statistical Estimation under Structural Constraints

User Ilias Diakonikolas, University of Edinburgh.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 06 February 2015, 16:00-17:00

Statistics

Bayesian nonparametrics with heterogeneous data

User Antonio Lijoi, University of Pavia.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 30 January 2015, 16:00-17:00

Statistics

A novel (pre-)metric for causal graphs

User Jonas Peters, ETH Zürich.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 30 January 2015, 14:30-15:30

Machine Learning Reading Group @ CUED

Transfer Learning

User Yingzhen Li; Eddy Pei-Hao Su.

House Engineering Department, CBL Room 438.

Thursday 29 January 2015, 15:00-16:30

Machine Learning @ CUED

Latent Branching Trees

User Dr Theodore Kypraios (University of Nottingham).

House Engineering Department, CBL Room BE-438..

Thursday 29 January 2015, 12:00-13:00

Peter Whittle Lecture

An afternoon of talks exploring the links between classical information theory, probability, statistics and their quantum counterparts.

User Reinhard Werner (Hannover), Fernando Brandao (Microsoft Research), Robert Koenig (TU Munich), Renato Renner (ETH Zurich).

House MR15 Centre for Mathematical Sciences.

Wednesday 28 January 2015, 14:00-18:10

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

User Prof. Wray Buntine (Monash University).

House Engineering Department, CBL Room BE-438..

Friday 23 January 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Advanced HMC

User Nilesh Tripuraneni; Adam Scibior.

House Engineering Department, CBL Room 438.

Thursday 22 January 2015, 15:00-16:30

Statistics

On the use of non-local priors for joint high-dimensional estimation and selection

User David Rossel, University of Warwick.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 16 January 2015, 16:00-17:00

Machine Learning Reading Group @ CUED

Active Learning

User Adrian Weller; Mateo Rojas Carulla.

House Engineering Department, CBL Room 438.

Thursday 15 January 2015, 15:00-16:30

Machine Learning @ CUED

The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models

User Prof. Steven MacEachern (Ohio State University).

House Engineering Department, CBL Room BE-438..

Monday 15 December 2014, 10:00-11:00

Machine Learning Reading Group @ CUED

Deep Probabilistic Models (Wake/Sleep)

User Yan Wu; David Barrett.

House Engineering Department, CBL Room 438.

Thursday 04 December 2014, 15:00-16:30

Statistics

Dynamic functional principal components

User Siegfried Hörmann, Université libre de Bruxelles.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 28 November 2014, 16:00-17:00

Machine Learning @ CUED

Machine Translation with LSTMs

Room changed to LR3B in Inglis building and time changed to 10:30

User Ilya Sutskever (Google).

House Engineering Department, LR3B.

Friday 28 November 2014, 10:30-11:30

Machine Learning Reading Group @ CUED

PAC Bayes

User Alex Matthews; Nikola Mrksic.

House Engineering Department, CBL Room 438.

Thursday 27 November 2014, 15:00-16:30

Machine Learning @ CUED

Oracle Variational Inference

User James McInerney (Columbia University).

House Engineering Department, CBL Room BE-438..

Wednesday 26 November 2014, 11:00-12:00

Statistics

Analysis and Forecasting of Locally Stationary Time Series

User Guy Nason, University of Bristol.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 21 November 2014, 16:00-17:00

Machine Learning Reading Group @ CUED

LSTM and Recurrent Neural Networks

User Shixiang Gu; Andrey Malinin.

House Engineering Department, CBL Room 438.

Thursday 20 November 2014, 15:00-16:30

Statistics

Average derivative projection pursuit regression

User Frédéric Ferraty, Toulouse.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 14 November 2014, 16:00-17:00

Machine Learning @ CUED

Bayesian modeling for high-level real nursing activity recognition using accelerometers

short talk

User Prof. Naonori Ueda (Director Machine Learning and Data Science, NTT Labs).

House Engineering Department, CBL Room BE-438..

Tuesday 03 June 2014, 11:00-12:00

Machine Learning @ CUED

Unifying logic and probability: A "New Dawn" for Artificial Intelligence?

NOTE THE SPECIAL VENUE (Microsoft Research)

Histograms, Graph Limits, and the Asymptotic Behavior of Large Networks

User Sofia Olhede, University College London.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 16 May 2014, 16:00-17:00

Machine Learning @ CUED

Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling

short talk (30 mins) - NOTE TIME CHANGE

User Andrea Cremaschi (Kent).

House Engineering Department, CBL Room BE-438.

Friday 16 May 2014, 10:30-11:30

Machine Learning Reading Group @ CUED

Statistical model criticism

User James Lloyd (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 15 May 2014, 15:00-16:30

Machine Learning Seminar Series @ CUED

Density Estimation in Infinite Dimensional Exponential Families

This talk has been canceled/deleted

Bayesian canonical correlation analysis

User Seppo Virtanen (Aalto University).

House Engineering Department, CBL Room BE-438.

Friday 28 February 2014, 11:00-12:00

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

User Speaker to be confirmed.

House Engineering Department, CBL Room BE-438.

Tuesday 25 February 2014, 09:00-16:00

Machine Learning @ CUED

Generative probabilistic programming: applications and new ideas

User Yura Perov (Oxford).

House Engineering Department, CBL Room BE-438.

Monday 24 February 2014, 11:00-12:00

Statistics

User Isabel Valera (University Carlos III in Madrid).

House Engineering Department, CBL Room BE-438.

Monday 17 February 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic machine learning for knowledge extraction from videos and text

Note venue: LR6

CANCELLED

User Manik Varma (Microsoft Research India).

House Engineering Department, CBL Room BE-438.

Friday 27 September 2013, 11:00-12:00

Machine Learning @ CUED

Clustering Based on Predictive Variances in Gaussian Process Regression Models

User Dr Hyun-Chul Kim .

House Engineering Department, CBL Room BE-438.

Friday 13 September 2013, 11:00-12:00

Machine Learning @ CUED

Non-Parametric Conditional Random Fields in Computer Vision and Image Processing

User Jeremy Jancsary (Microsoft Research Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 08 August 2013, 11:00-12:00

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

User Hannah Pauline Keiler (Columbia University and DIMACS).

House Engineering Department, CBL Room BE-438.

Tuesday 06 August 2013, 11:00-12:00

Machine Learning @ CUED

Annealing Between Distributions by Averaging Moments

User Chris Maddison (U Toronto).

House Engineering Department, CBL Room BE-438.

Friday 02 August 2013, 11:00-12:00

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

User Richard Socher - Stanford University.

House FW26, Computer Laboratory.

Wednesday 31 July 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Random Forests: One tool for all your problems.

User Novi Quadrianto (University of Cambridge); Neil Houlsby (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 04 July 2013, 15:00-16:30

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

User Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

House Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

User Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

House Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Modelling Nonlinear Dynamical Systems

User Yue Wu (University of Cambridge) and Andrew McHutchon (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 06 June 2013, 15:00-16:30

Machine Learning @ CUED

The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process

User Creighton Heaukulani (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Thursday 06 June 2013, 13:00-13:30

Statistics

Discrete Fourier transform methods in the analysis of nonstationary time series

User Suhasini Subba Rao, Texas A&M University.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 31 May 2013, 16:00-17:00

Statistics

What is the chance that the match is coincidence?

User Richard Gill, Leiden University.

House MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 24 May 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Adaptive Hamiltonian-based MCMC samplers

User Shakir Mohamed .

House Engineering Department, CBL Room 438.

Thursday 23 May 2013, 15:00-16:30

jg691's list

Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper

User Dr David J Harper .

House LR12, Baker Building, Department of Engineering (Trumpington Street, Cambridge CB2 1PZ).

Wednesday 22 May 2013, 10:20-11:20

Statistics

Classification Using Censored Functional Data

User Aurore Delaigle, University of Melbourne.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 17 May 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets

User Yarin Gal (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 16 May 2013, 15:00-16:30

Statistics

On the Computational and Statistical Interface and "Big Data"

User Michael I. Jordan, University of California, Berkeley.

House Seminar Room 1, Isaac Newton Institute.

Friday 10 May 2013, 15:45-16:45

Machine Learning @ CUED

Matrix Concentration Inequalities via the Method of Exchangeable Pairs

User Professor Michael I Jordan (UC Berkeley).

House Cambridge University Engineering Department, Lecture Room 1.

Thursday 09 May 2013, 16:00-17:00

Statistics

From depth to local depth : a focus on centrality

User Davy Paindaveine, Université libre de Bruxelles.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 03 May 2013, 16:00-17:00

Machine Learning @ CUED

Deep Gaussian Processes

User Prof. Neil Lawrence (Sheffield).

House Engineering Department, CBL Room BE-438.

Wednesday 01 May 2013, 15:00-16:00

Machine Learning @ CUED

Approaches to statistical modeling of network data

User Maxim Nazarov (Bocconi University).

House Engineering Department, CBL Room BE-438.

Tuesday 30 April 2013, 11:00-12:00

Statistics

Approximating Data

User Laurie Davies, Univeristy of Duisburg-Essen.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 26 April 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Sparsity: Beyond L1

User Amar Shah (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 18 April 2013, 15:00-16:30

Machine Learning @ CUED

Bayesian nonparametric methods for non-exchangeable data

User Nick Foti (Dartmouth College).

House Engineering Department, CBL Room BE-438.

Monday 15 April 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Reproducing Kernel Hilbert Spaces in Non-parametric Statistics

User Bharath Sriperumbudur (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 11 April 2013, 15:00-16:30

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

User Will Allen (University of Cambridge and MRC-LMB).

House Engineering Department, CBL Room BE-438.

Monday 08 April 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

An Introduction to Sum Product Networks

User José Miguel Hernández Lobato (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 28 March 2013, 15:00-16:30

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

User James Hensman, The Sheffield Institute for Translational Neuroscience.

House Engineering Department, CBL Room BE-438.

Monday 25 March 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Bayesian Reinforcement Learning

User Rowan McAllister & Karolina Dziugaite.

House Engineering Department, CBL Room 438.

Thursday 21 March 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Probabilistic Programming

User James Lloyd (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 14 March 2013, 15:00-16:30

Machine Learning @ CUED

An application of HDP And IBP for stream-based action recognition and high dimensional data

User Ava Bargi : University of Technology, Sydney.

House Engineering Department, CBL Room BE-438.

Monday 11 March 2013, 11:30-12:00

Statistics

The Bayesian Approach To Inverse Problems

User Andrew Stuart, University of Warwick.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 08 March 2013, 16:00-17:00

Machine Learning @ CUED

Using Context and Insight for the Analysis of LittleData?

User Philipp Moritz (U Cambridge).

House Engineering Department, CBL Room BE-438.

Friday 08 March 2013, 11:00-11:30

Machine Learning Reading Group @ CUED

Machine Learning in Speech Recognition

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 07 March 2013, 15:00-16:30

Statistics

Frequentist coverage and adaptation of nonparametric Bayesian credible sets

User Harry van Zanten, Universiteit van Amsterdam.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 01 March 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Fragmentation Coagulation

User Hong Ge (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 28 February 2013, 15:00-16:30

Machine Learning @ CUED

Feature allocations, probability functions, and paintboxes

User Tamara Broderick (UC Berkeley).

House Engineering Department, CBL Room BE-438.

Wednesday 27 February 2013, 11:30-12:30

Statistics

Optimization meets Statistics: Fast global convergence for high-dimensional statistical recovery

User Martin Wainwright, University of California, Berkeley.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 22 February 2013, 16:00-17:00

Machine Learning @ CUED

Modelling Reciprocating Relationships with Hawkes Processes

User Charles Blundell (Gatsby Unit, UCL).

House Engineering Department, CBL Room BE-438.

Friday 22 February 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Conditional Density Estimation

User Sara Wade ( Bocconi University).

House Engineering Department, CBL Room 438.

Thursday 21 February 2013, 15:00-16:30

Statistics

Strong Oracle Optimality of Folded Concave Penalized Estimation

User Jianqing Fan, Princeton University.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 15 February 2013, 16:00-17:00

Statistics

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator

User Arnaud Doucet, University of Oxford.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 15 February 2013, 14:30-15:30

Statistics

Local Bilinear Multiple-Output Quantile Regression: from $L_1$ Optimization to Regression Depth

User Marc Hallin, ECARES, Universite libre de Bruxelles and ORFE, Princeton University.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 08 February 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

RCC Planning

User Colorado Reed (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 07 February 2013, 15:00-16:30

Statistics

When Bayesians Can't Handle the Truth

User Cosma Shalizi, Carnegie Mellon University.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 01 February 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Discrete Optimization

User Colorado Reed (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 31 January 2013, 15:00-16:30

Machine Learning @ CUED

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables

User Nevena Lazic (Microsoft Research Cambridge).

House Engineering Department, CBL Room BE-438.

Wednesday 30 January 2013, 11:00-12:00

Statistics

Conflicts between optimality criteria for block designs with low replication

User Rosemary Bailey, Queen Mary University of London.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 25 January 2013, 16:00-17:00

Machine Learning Reading Group @ CUED

Advanced Sampling

User Christian Steinruecken (University of Cambridge); Dr Tomoharu Iwata (NTT).

House Engineering Department, CBL Room 438.

Thursday 24 January 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

NIPS Recap

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 17 January 2013, 14:30-16:00

Machine Learning Reading Group @ CUED

NIPS Recap

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 06 December 2012, 14:30-16:00

Statistics

Minimax Lower Bounds

User Adityanand Guntuboyina, UC Berkeley.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 30 November 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian and Gradient Reinforcement Learning

User Yanyue (University of Cambridge); Emil Hewage (CBL, University of Cambridge); .

House Engineering Department, CBL Room 438.

Thursday 29 November 2012, 14:30-16:00

Statistics

Stability

User Bin Yu, University of California, Berkeley.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Monday 26 November 2012, 16:00-17:00

Statistics

Random Fraction of a Biased Sample: old models and a new one

User Geurt Jongbloed, TU Delft, EURANDOM.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 23 November 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Spectral Clustering

User Mr Roger Grosse (MIT); Alex Matthews.

House Engineering Department, CBL Room 438.

Thursday 22 November 2012, 14:30-16:00

Machine Learning @ CUED

The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes

User Dr Daniel Roy (University of Cambridge).

House Engineering Department, CBL Room BE-438.

Tuesday 20 November 2012, 13:00-14:30

Statistics

Interim Monitoring of Clinical Trials: Decision Theory, Dynamic Programming and Optimal Stopping

User Chris Jennison, University of Bath.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 16 November 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Modern Neural Networks: the Hinton Camp

User Richard Turner, Mark van der Wilk.

House Engineering Department, CBL Room 438.

Thursday 15 November 2012, 14:30-16:00

Machine Learning @ CUED

Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method

User Dr Dalia Chakrabarty (University of Warwick).

House Engineering Department, CBL Room BE-438.

Thursday 15 November 2012, 11:30-12:30

Machine Learning Reading Group @ CUED

Distributional compositional models of semantics

User Stephen Clark (Computer Laboratory).

House Engineering Department, CBL Room 438.

Thursday 08 November 2012, 13:30-15:00

Statistics

A semiparametric model for heterogeneous panel data with fixed effects

User Oliver Linton, Department of Economics, University of Cambridge.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 02 November 2012, 16:00-17:00

Statistics

Suprema of Chaos Processes and the Restricted Isometry Property

User Felix Krahmer (Goettingen).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 26 October 2012, 16:00-17:00

Machine Learning @ CUED

Identification of causal effects

User Nevena Lazic.

House Engineering Department, CBL Room BE-438.

Thursday 25 October 2012, 14:30-16:00

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

User Jes Frellsen (University of Copenhagen).

House Engineering Department, CBL Room BE-438.

Monday 22 October 2012, 11:00-12:00

Statistics

Wavelet-based estimation of the long memory parameter in Gaussian non-gappy and gappy time series

User Peter Craigmile, University of Glasgow.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 19 October 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Completely Random Measures in Bayesian Nonparametrics

User Dr Daniel Roy (University of Cambridge), Creighton Heaukulani.

House Engineering Department, CBL Room 438.

Thursday 18 October 2012, 14:30-16:00

Computer Laboratory Systems Research Group Seminar

Distributed, Real-Time Bayesian Learning in Online Services

User Ralf Herbrich (Facebook).

House LT1, Computer Laboratory, William Gates Builiding.

Tuesday 16 October 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Model selection in a large compositional space

note: the first 45 mins will be planning and the talk will start at around 3:15pm

User Roger Grosse (MIT).

House Engineering Department, CBL Room 438.

Thursday 11 October 2012, 14:30-16:00

Statistics

Nonparametric regression for locally stationary time series

User Michael Vogt, Department of Economics, University of Cambridge.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 05 October 2012, 16:00-17:00

Machine Learning @ CUED

Compressed Sensing Applications in Functional Magnetic Resonance Imaging

User Christine Law (Oxford University).

House Engineering Department, CBL Room BE-438.

Wednesday 26 September 2012, 11:00-12:00

Microsoft Research Cambridge, public talks

Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

User Matthias Seeger, EPFL.

House Small lecture theatre, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 25 September 2012, 15:00-16:00

Machine Learning @ CUED

Multi-Label Learning with Millions of Categories

User Manik Varma (Microsoft Research India).

House Engineering Department, CBL Room BE-438.

Monday 24 September 2012, 11:00-12:00

Machine Learning @ CUED

Efficient Sampling with Kernel Herding

User Yutian Chen (University of California at Irvine) - talk given by videolink.

House Engineering Department, CBL Room BE-438.

Wednesday 12 September 2012, 16:00-17:00

Machine Learning @ CUED

Frank-Wolfe optimization insights in machine learning

User Simon Lacoste-Julien (INRIA, ENS, Paris).

House Engineering Department, CBL Room BE-438.

Friday 24 August 2012, 11:00-12:00

Machine Learning @ CUED

Deep learning for vision: a case study for visual textures, and some thoughts on a general framework

User Prof. Chris Williams ( School of Informatics, University of Edinburgh).

House Engineering Department, CBL Room BE-438.

Wednesday 08 August 2012, 14:00-15:00

Machine Learning @ CUED

Thermodynamics as a Theory of Decision-Making with Information Processing Costs

User Pedro Ortega (Max Planck Institute for Intelligent Systems).

House Engineering Department, CBL Room BE-438.

Friday 03 August 2012, 14:00-15:00

Machine Learning @ CUED

Human Behavior Classification with Infinite Hidden Conditional Random Fields

User Konstantinos Bousmalis and Stefanos Zafeiriou (Imperial College).

House Engineering Department, CBL Room BE-438.

Friday 27 July 2012, 11:00-12:00

Machine Learning @ CUED

Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis

User Prof Alan Qi (Purdue U).

House Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 14:00-15:00

Machine Learning @ CUED

Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond

User Edwin Bonilla (NICTA/ANU).

House Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 11:00-12:00

Machine Learning @ CUED

Structured Prediction using Linear Programming Relaxations

User David Sontag (NYU).

House Engineering Department, CBL Room BE-438.

Tuesday 03 July 2012, 11:00-12:00

Machine Learning Reading Group @ CUED

Dependent normalized random measures

User Changyou Chen (College of Engineering and Computer Science, the Australian National University).

House Engineering Department, CBL Room 438.

Thursday 21 June 2012, 11:00-12:00

Machine Learning Reading Group @ CUED

GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications

User Thomas Desautels (California Institute of Technology).

House Engineering Department, CBL Room 438.

Wednesday 20 June 2012, 11:30-12:00

Machine Learning @ CUED

Discovery of Complex Behaviors through Contact-Invariant Optimization

User Igor Mordatch (University of Washington).

House Engineering Department, CBL Room BE-438.

Tuesday 19 June 2012, 11:00-12:00

Statistics

Model and estimator selection for density estimation with L2-loss

User Lucien Birgé, Paris VI.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Tuesday 12 June 2012, 16:00-17:00

Statistics

Continuous-time Importance Sampling for Multivariate Diffusions

User Paul Fearnhead, Lancaster University.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 08 June 2012, 16:00-17:00

Statistics

Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure

User Mouli Banerjee, University of Michigan.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 01 June 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

On Data (In-)Dependent Hashing

User Novi Quadrianto (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 31 May 2012, 14:00-15:30

Statistics

Modelling Network Data

User Patrick Wolfe, University College London.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 25 May 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Poisson Processes: Applications in Machine Learning

User Amar Shah (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 24 May 2012, 14:00-15:30

Statistics

Statistical inference for compound regression

User Alexandre Tsybakov, Université Paris VI.

House MR5, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 18 May 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays

User Dr Daniel Roy (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 17 May 2012, 14:00-15:30

Statistics

From statistical estimation to well localized frames, via heat kernel

User Gerard Kerkyacharian, Université Paris VI.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 11 May 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Title to be confirmed

User Andrew Gordon Wilson.

House Engineering Department, CBL Room 438.

Thursday 10 May 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Dirichlet Process Mixture Models and Bayesian Nonparametric Density Estimation

User Andrew Gordon Wilson ().

House Engineering Department, CBL Room 438.

Thursday 10 May 2012, 14:00-15:30

Statistics

Grouping strategies for denoising

User Dominique Picard.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Tuesday 08 May 2012, 15:00-16:00

Machine Learning @ CUED

Learning with nonparametric dependence and divergence estimation

User Barnabas Poczos (Carnegie Mellon University).

House Engineering Department, CBL Room BE-438.

Tuesday 08 May 2012, 11:00-12:00

Statistics

Large-scale convex optimization for machine learning

User Francis Bach, INRIA, Laboratoire d'Informatique de l'Ecole Normale Supérieure.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 04 May 2012, 16:00-17:00

Machine Learning @ CUED

Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods

User Alexander Matthews.

House Engineering Department, CBL Room BE-438.

Friday 04 May 2012, 11:15-12:00

Machine Learning Reading Group @ CUED

"Structured sparsity and convex optimization"

User Francis Bach.

House Engineering Department, CBL Room 438.

Thursday 03 May 2012, 14:00-15:30

Statistics

Log-concave distributions: definitions, properties, and consequences

User Jon A. Wellner, University of Washington.

House MR5, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Wednesday 02 May 2012, 15:00-16:00

Machine Learning @ CUED

Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation

User Tsuyoshi Okita (Dublin City University).

House Engineering Department, CBL Room BE-438.

Wednesday 02 May 2012, 11:15-12:15

Statistics

The distribution of the maximal difference between a Brownian bridge and its concave majorant

User Fadoua Balabdaoui, Université Paris Dauphine.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 27 April 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Financial Problems tractable to Machine Learning Methods

User yue wu (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 26 April 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

A Predictive Study of Bayesian Nonparametric Regression Models

User Sara Wade, Bocconi University.

House Engineering Department, CBL Room 438.

Wednesday 25 April 2012, 11:00-12:00

Machine Learning Reading Group @ CUED

Title to be confirmed

User Rogier van Dalen (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 19 April 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Weighted Finite-state Automata

User Rogier van Dalen, Engineering Dept, Cambridge University.

House Engineering Department, CBL Room 438.

Thursday 19 April 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Active Learning

User Ferenc Huszar (Budapest University of Technology and Economics).

House Engineering Department, CBL Room 438.

Thursday 12 April 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Topic Modelling

User Dr Tomoharu Iwata (NTT).

House Engineering Department, CBL Room 438.

Thursday 29 March 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Structural Learning of Dynamic Bayesian Networks

User Matt Henderson (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 22 March 2012, 14:00-15:30

Machine Learning Reading Group @ CUED

Extended ensemble Monte Carlo

User Dr. Cristina Savin (Computational & Biological Learning Lab, Dept Engineering, U Cambridge).

House Engineering Department, CBL Room 438.

Thursday 15 March 2012, 14:00-15:30

Machine Learning @ CUED

Infinite Structured Explicit Duration Hidden Markov Models

User Jonathan Huggins (Columbia University).

House Engineering Department, CBL Room BE-438.

Thursday 15 March 2012, 11:00-11:45

Statistics

Hilbert Space Embedding of Probability Measures: Theory and Applications

User Bharath Sriperumbudur.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 09 March 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

"Symmetry and sufficiency"

User Peter Orbanz (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 08 March 2012, 14:00-15:30

Statistics

Second-Order Comparison of Functional Data with Applications to DNA Geom

User Victor Panaretos, École polytechnique fédérale de Lausanne.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 02 March 2012, 16:00-17:00

Machine Learning @ CUED

Probabilistic computing: computation as universal stochastic inference, not deterministic calculation

User Vikash K. Mansinghka (MIT).

House Engineering Department, CBL Room BE-438.

Thursday 23 February 2012, 12:30-13:30

Statistics

Nonparametric estimation of the division rate of a size-structured population

User Vincent Rivoirard, Université Paris-Dauphine.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 17 February 2012, 16:00-17:00

Statistics

Goodness-of-fit tests for noisy directional data

User Thanh Mai Pham Ngoc, Université Paris Sud, Orsay.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 17 February 2012, 14:30-15:30

Statistics

Safe Learning: How to Modify Bayesian Inference when All Models are Wrong

User Peter Grünwald, Centrum voor Wiskunde en Informatica, Amsterdam.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 10 February 2012, 16:00-17:00

Statistics

Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data

User Wicher Bergsma, London School of Economics and Political Science.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 03 February 2012, 16:00-17:00

Statistics

Approximate Bayesian Computation for model selection

User Christian Robert, Universite Paris-Dauphine and IUF.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 27 January 2012, 16:00-17:00

Machine Learning Reading Group @ CUED

Information bottleneck

Please note the change in time. This RCC will take place at 15:00-16.30pm.

(rescheduled from May 24th)

RESCHEDULED FOR JUNE 7th

User Professor Michael Dempster (Statistical Laboratory).

House Engineering Department, CBL Room 438.

Tuesday 24 May 2011, 11:00-12:00

Statistics

Hawkes process as models for some genomic data

User Patricia Reynaud-Bouret (CNRS and Univ. Nice).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 20 May 2011, 16:00-17:00

Machine Learning Reading Group @ CUED

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

User DR. Tom Minka (Microsoft Research Cambridge).

House Engineering Department, CBL Room 438.

Thursday 19 May 2011, 14:00-15:30

Statistics

Bernstein - von Mises Theorems for general functionals

User Judith Rousseau (Paris Dauphine).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 13 May 2011, 16:00-17:00

Statistics

Bayesian non-parametric analysis of diffusions

User Gareth Roberts (Warwick).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 13 May 2011, 14:30-15:30

Machine Learning Reading Group @ CUED

Expectation Propagation for POMDP Spoken Dialogue Models

User Blaise Thomson, Dialogue Systems Group, University of Cambridge.

House Engineering Department, CBL Room 438.

Thursday 12 May 2011, 14:00-15:30

Statistics

Likelihood Inference and Bayesian MCMC

User Don Pierce (Oregon State University).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 06 May 2011, 16:00-17:00

Peter Whittle Lecture

An afternoon of Mathematics and Biology

User Richard Durbin (Wellcome Trust Sanger Institute), Glenn Vinnicombe (Engineering Department), Ottoline Leyser (Sainsbury Laboratory).

House Wolfson Room (MR2) Centre for Mathematical Sciences.

Tuesday 26 April 2011, 14:00-19:00

Machine Learning @ CUED

Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies

User Chris Haulk (UC Berkeley).

House Engineering Department, CBL Room 438.

Monday 11 April 2011, 11:00-12:00

Machine Learning @ CUED

Nonlinear Dynamics of Learning

User Prof. Max Welling (UC Irvine).

House Engineering Department, CBL Room 438.

Monday 21 March 2011, 11:00-12:00

Machine Learning Reading Group @ CUED

Exchangeability

User Peter Orbanz (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 17 March 2011, 14:00-15:30

Machine Learning @ CUED

Exponential Conditional Volatility Models

User Prof Andrew Harvey (Economics, Cambridge).

House Engineering Department, CBL Room 438.

Tuesday 15 March 2011, 11:00-12:00

Statistics

M-estimation strategies for the ranking problem

User Nicolas Vayatis, ENS Cachan.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 11 March 2011, 16:00-17:00

Machine Learning Reading Group @ CUED

Deep Belief Networks for Phone Recongition

User Rory Waite and Matt Seigel (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 10 March 2011, 14:30-16:00

Machine Learning @ CUED

Challenges in implementing the Bayesian paradigm

User Prof. Steve MacEachern (Ohio State).

House Engineering Department, CBL Room 438.

Thursday 10 March 2011, 12:00-13:00

Statistics

Detecting Change Points in Multidimensional Functional Data

User John Aston, Warwick.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 04 March 2011, 16:00-17:00

Machine Learning @ CUED

Expectation Propagation in Sparse Linear Models with Spike and Slab Priors

User Dr José Miguel Hernández Lobato (Univ. Aut. Madrid).

House Engineering Department, CBL Room 438.

Friday 04 March 2011, 11:30-12:30

Machine Learning @ CUED

Probabilistic matrix factorization for reconstruction of missing data

User Dr Alexander Ilin (Aalto University).

House Engineering Department, CBL Room 438.

Friday 04 March 2011, 10:30-11:30

Machine Learning Reading Group @ CUED

The effect of normalization -- a case study in speech synthesis

User Matt Shannon (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 03 March 2011, 14:00-15:30

Statistics

Markov chain Monte Carlo on Riemann manifolds

User Mark Girolami (UCL).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 25 February 2011, 16:00-17:00

Machine Learning @ CUED

Title to be confirmed

User Yee Whye Teh (Gatsby Unit, UCL).

House Engineering Department, CBL Room 438.

Friday 25 February 2011, 11:00-12:00

Machine Learning Reading Group @ CUED

Post-NIPS Highlight session

User MLG Members.

House Engineering Department, CBL Room 438.

Thursday 24 February 2011, 14:00-15:30

Statistics

Approximate Inference for the Loss-Calibrated Bayesian

User Simon Lacoste-Julien (Cambridge).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 18 February 2011, 16:00-17:00

Machine Learning Reading Group @ CUED

Optimal weighted nearest neighbour classifiers

User Dr Richard Samworth.

House Engineering Department, CBL Room 438.

Thursday 17 February 2011, 14:00-15:30

Machine Learning Reading Group @ CUED

Kernel Methods

User Yunus Saatchi (University of Cambridge), Ryan Turner (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 10 February 2011, 14:00-15:30

Statistics

Bayesian semiparametrics with Gaussian process priors

User Ismael Castillo (CNRS and Paris 6).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 04 February 2011, 16:00-17:00

Machine Learning Reading Group @ CUED

Machine Learning techniques in computer vision applications

User Peter Chan (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 03 February 2011, 14:00-15:30

Machine Learning @ CUED

Differential Geometric MCMC Methods

User Prof. Mark Girolami (UCL).

House Engineering Department, CBL Room 438.

Tuesday 01 February 2011, 11:00-12:00

Statistics

Simultaneous local and global adaptivity of Bayesian wavelet estimators in nonparametric regression

User Natalia Bochkina (Edinburgh).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 28 January 2011, 16:00-17:00

Machine Learning Reading Group @ CUED

Infinite multiple relational models for complex networks

User Mikkel N. Schmidt (Technical University of Denmark / Cambridge).

House Engineering Department, CBL Room 438.

Thursday 27 January 2011, 14:00-15:30

Machine Learning @ CUED

Mining viral datasets

User Dr Simon Frost (University of Cambridge).

House Engineering Department, CBL Room 438.

Tuesday 25 January 2011, 11:00-12:00

Machine Learning Reading Group @ CUED

Completely Random Measures

User Sinead Williamson (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 20 January 2011, 14:00-15:30

Machine Learning @ CUED

Universal Bayesian Agents: Theory and Applications

User Prof. Marcus Hutter (ANU).

House Engineering Department, CBL Room 438.

Tuesday 18 January 2011, 11:00-12:00

Machine Learning @ CUED

Machine learning in cancer research (a.k.a CRI meets CUED)

(note new date)

User Dr Florian Markowetz (CRUK) - lab visit.

House Engineering Department, CBL Room 438.

Monday 17 January 2011, 11:00-12:00

Machine Learning @ CUED

Novi Quadrianto

User Novi Quadrianto, Australian National University.

House Engineering Department, CBL Room 438.

Thursday 13 January 2011, 11:00-12:00

Machine Learning Reading Group @ CUED

Submodularity for Machine Learning

User Ed Snelson and Rich Turner.

House Engineering Department, CBL Room 438.

Thursday 02 December 2010, 14:00-15:30

Machine Learning @ CUED

Learning item trees for collaborative filtering with implicit feedback

User Dr Andriy Mnih (Gatsby Unit, UCL).

House Engineering Department, CBL Room 438.

Tuesday 30 November 2010, 11:00-12:00

Statistics

Concentration inequalities by the entropy method, variations

User Stephane Boucheron (Universite Paris 7).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 26 November 2010, 16:00-17:00

Machine Learning @ CUED

Non-Smooth-Norm Image Reconstruction from Noisy Data

User Dr Paolo Emilio Barbano (DAMTP, University of Cambridge).

House Engineering Department, CBL Room 438.

Friday 26 November 2010, 11:00-12:00

Machine Learning Reading Group @ CUED

NIPS Highlight Session

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 25 November 2010, 14:00-15:30

Statistics

On adaptive nonparametric inference

User Richard Nickl (Cambridge).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 19 November 2010, 16:00-17:00

Machine Learning Reading Group @ CUED

Poisson Processes

User Andrew Wilson and Yue Wu.

House Engineering Department, CBL Room 438.

Thursday 18 November 2010, 14:00-15:30

Machine Learning @ CUED

Crowdsourcing data modelling

User Anthony Goldbloom (Kaggle).

House Engineering Department, CBL Room 438.

Thursday 18 November 2010, 11:00-12:00

Statistics

New Thinking about Statistical Inference and its Application to Climate Prediction

User Arthur Dempster (Harvard).

House MR15, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Wednesday 17 November 2010, 14:00-15:00

Statistics

Regret Bounds for Gaussian Process Bandit Problems

User Steffen Grunewalder (University College London).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 12 November 2010, 16:00-17:00

Machine Learning Reading Group @ CUED

Convex Optimisation

User Dave Knowles and David Duvenaud.

House Engineering Department, CBL Room 438.

Thursday 11 November 2010, 14:00-15:30

Machine Learning @ CUED

CANCELLED

User Dr Paolo Emilio Barbano (DAMTP).

House Engineering Department, CBL Room 438.

Thursday 11 November 2010, 11:00-12:00

Statistics

Applications of Bernstein polynomials in Statistics

User Sonia Petrone (University Bocconi Milan).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 05 November 2010, 16:00-17:00

Machine Learning @ CUED

Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models

User Charles Blundell, Lloyd Elliot and Vinayak Rao, Gatsby Unit, UCL.

House Engineering Department, CBL Room 438.

Friday 05 November 2010, 13:30-15:00

Machine Learning Reading Group @ CUED

An Introduction to Bayesian Statistics

User Sonia Petrone (Università Bocconi).

House Engineering Department, CBL Room 438.

Thursday 04 November 2010, 14:00-15:30

Statistics

Sparsity pattern aggregation for convex stochastic optimization.

User Phillipe Rigollet (Princeton University).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 29 October 2010, 16:00-17:00

Machine Learning Reading Group @ CUED

Cancelled: No RCC

Cancelled

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 28 October 2010, 14:00-15:30

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 28 May 2010, 16:00-17:00

Machine Learning Reading Group @ CUED

Redirected to Rob Nowak, LR12

Redirected

Room changed

User Jurgen Van Gael and Ed Snelson.

House Cambridge University Engineering Department, Lecture Room 5.

Thursday 06 May 2010, 14:00-15:30

Statistics

Distilled Sensing: Adaptive Sequential Experimental Designs for Large-Scale Multiple Hypothesis Testing

User Rob Nowak (University of Wisconsin-Madison).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 30 April 2010, 16:00-17:00

Machine Learning Reading Group @ CUED

Numerical Linear Algebra

Room changed

Subspace Codes for Adversarial Error-Correction in Network Coding

short talk

User Azadeh Khaleghi (University of Toronto).

House Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:30-12:00

Computational and Biological Learning Seminar Series

Title to be confirmed

Short talk

User Alex Davies (ANU).

House Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:00-11:30

Machine Learning @ CUED

Bayesian Inference in Networks of Queues

User Dr Charles Sutton (Edinburgh).

House Engineering Department, CBL Room 438.

Tuesday 09 March 2010, 11:00-12:00

Machine Learning @ CUED

Stochastic Outlier Selection

User Jeroen Janssens (Tilburg University / University of Cambridge).

House Engineering Department, CBL Room 438.

Monday 08 March 2010, 16:00-16:30

Statistics

Smoothed absolute loadings principal components analysis

User Bernie Silverman (Oxford).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 05 March 2010, 15:30-16:30

Machine Learning Reading Group @ CUED

Cancelled

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 04 March 2010, 14:00-15:30

Statistics

What's the right complexity measure for inferring causal relations?

User Dominik Janzing (Max Planck Institute Tuebingen).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 26 February 2010, 15:30-16:30

Machine Learning Reading Group @ CUED

Cancelled

Canceled

Short talk

User Neil Houlsby (CUED).

House Engineering Department, CBL Room 438.

Tuesday 02 February 2010, 11:00-11:30

Statistics

Thick-pen transformation for time series

User Piotr Fryzlewicz (London School of Economics).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 29 January 2010, 15:30-16:30

Machine Learning Reading Group @ CUED

The Fractional Belief Propagation menace

User Frederik Eaton.

House Engineering Department, CBL Room 438.

Thursday 28 January 2010, 14:00-15:30

Statistics

On the Distribution of the Adaptive LASSO Estimator

User Ulrike Schneider (University of Goettingen).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 22 January 2010, 15:30-16:30

Machine Learning Reading Group @ CUED

(Canceled) A Causal Calculus for Statistical Research

Canceled

User Pedro Ortega (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 21 January 2010, 14:00-15:30

Machine Learning @ CUED

Machine Learning Course (4F13)

4F13 course - repeats Wed, Thurs at 10am during Lent

User Zoubin Ghahramani and Carl Rasmussen (Cambridge).

House Cambridge University Engineering Department, Lecture Room 12 (Trumpington Street).

Wednesday 20 January 2010, 10:00-11:00

Machine Learning @ CUED

CANCELLED: Learning Components for Human Sensing

CANCELLED

User Rogier van Dalen (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 03 December 2009, 14:00-15:30

dak33's list

Joint imputation and estimation of haplotype transition probabilities

User Wolfgang Lehrach, Microsoft Research Cambridge.

House Cambridge University Engineering Department, CBL Rm #438 (http://blg.eng.cam.ac.uk/t/bin/view/Public/Contact).

Wednesday 02 December 2009, 11:00-12:00

Statistics

Learning rates in Bayesian nonparametrics: Gaussian process priors

Joint with Probability Series

User Aad van der Vaart (Vrije Univ. Amsterdam).

House MR5, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 27 November 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Learning rates in Bayesian nonparametrics

User Aad van der Vaart (Vrije Universiteit Amsterdam).

House Engineering Department, CBL Room 438.

Thursday 26 November 2009, 14:00-15:30

Statistics

A Bayesian nonrandom walk through the world of the queues

User Carmen Armero, University of Valencia.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Monday 23 November 2009, 14:30-15:30

Machine Learning @ CUED

Indian Buffet Processes with Power-law Behaviour

User Yee Whye Teh (Gatsby Unit, UCL).

House Engineering Department, CBL Room 438.

Friday 20 November 2009, 14:00-15:00

Statistics

Empirical support for DNA match probabilities

User James Curran (Auckland).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Thursday 19 November 2009, 16:00-17:00

Machine Learning @ CUED

Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection

User Prof. Stephen Roberts (Oxford).

House Engineering Department, CBL Room 438.

Thursday 19 November 2009, 14:00-15:00

Statistics

Statistical estimation of a multifractal function

User Marc Hoffmann (Paris).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 13 November 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Bayesian Agglomerative Clustering with Coalescents

User Sinead Williamson (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 12 November 2009, 14:00-15:30

Machine Learning @ CUED

KL control theory and decision making under uncertainty

User Bert Kappen ( Radboud University Nijmegen, The Netherlands).

House Engineering Department, CBL Room 438.

Tuesday 10 November 2009, 11:00-12:00

Machine Learning Reading Group @ CUED

Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, Daumé and Roy, NIPS 2007

User Sinead Williamson.

House Engineering Department, CBL Room 438.

Sunday 08 November 2009, 14:00-15:30

Statistics

Soap film smoothing

User Simon Wood (Bath).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 06 November 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Filtering of Noisy Time-Series Data

User Henrik Ohlsson, Marc Deisenroth, Hugo Vincent.

House Engineering Department, CBL Room 438.

Thursday 05 November 2009, 14:00-15:30

Statistics

Risk Hull Methods for Inverse Problems

User Laurent Cavalier (Marseille).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 30 October 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Speed Reviewing

User All Participants.

House Engineering Department, CBL Room 438.

Thursday 29 October 2009, 14:00-15:30

Machine Learning @ CUED

Information theoretic model selection in clustering

User Joachim M Buhmann, Department of Computer Science, ETH Zurich.

House Engineering Department, CBL Room 438.

Wednesday 28 October 2009, 11:00-12:00

Statistics

Bayesian Methods in Cosmology

User Mike Hobson (Cambridge).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 23 October 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

High-dimensional variable selection via sure independence screening

User Richard Samworth (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 22 October 2009, 14:00-15:30

Statistics

Probabilistic Expert Systems for Handling Artifacts in Complex DNA Mixtures

User Julia Mortera (University of Roma Tre).

House MR4, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Wednesday 21 October 2009, 16:00-17:00

Statistics

Forward Smoothing using Sequential Monte Carlo with Application to Recursive Parameter Estimation

User Arnaud Doucet (Univ. of British Columbia and ISM Tokyo).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Tuesday 20 October 2009, 15:00-16:00

Statistics

Choosing a good histogram

User Yannick Baraud (Univ. Nice).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 16 October 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Ensemble Methods in Machine Learning

User Alex Ksikes (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 15 October 2009, 14:00-15:30

Statistics

Total variation and curves

User Arne Kovac (Univ. Bristol).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 09 October 2009, 16:00-17:00

Machine Learning @ CUED

Motor Skills Learning for Robotics

User Jan Peters, Max Planck Institute for Biological Cybernetics in Tübingen.

House Engineering Department, CBL Room 438.

Friday 09 October 2009, 13:00-14:00

Machine Learning Reading Group @ CUED

Structured prediction using energy-based models

User Simon Lacoste-Julien (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 08 October 2009, 14:00-15:30

Machine Learning Reading Group @ CUED

Technical Writing II

User Ryan Turner (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 01 October 2009, 14:00-15:30

Machine Learning @ CUED

Coconut: Optimizing computations for machine learning

User Andrew Fitzgibbon (Microsoft Research Cambridge).

House Engineering Department, CBL Room 438.

Tuesday 29 September 2009, 14:00-15:00

Machine Learning @ CUED

CANCELLED

Cancelled

User Prof. Eric Xing (CMU).

House Engineering Department, CBL Room 438.

Friday 18 September 2009, 10:00-11:00

Machine Learning @ CUED

Convex Variational Bayesian Inference for Large Scale Generalized Linear Models

User Hannes Nickisch.

House Engineering Department, CBL Room 438.

Thursday 27 August 2009, 11:00-12:00

Machine Learning @ CUED

Computable Probability Theory

User Daniel Roy (MIT).

House Engineering Department, CBL Room 438.

Tuesday 28 July 2009, 14:00-15:00

Machine Learning Reading Group @ CUED

Hessian-based Markov-Chain Monte Carlo Algorithms

User Tom Minka (Microsoft Research Ltd).

House Engineering Department, CBL Room 438.

Thursday 02 July 2009, 14:00-15:30

Machine Learning Reading Group @ CUED

Message Passing

Note unusual time

User Jurgen Van Gael (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 18 June 2009, 15:00-16:30

Statistics

Working with over-parameterized models

User David Firth, University of Warwick.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 12 June 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Slice Sampling

User Yue Wu (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 11 June 2009, 14:00-15:30

Statistics

Bayesian Inference of Transmission Fidelity Rates of DNA Methylation Patterns

User Audrey Fu (University of Cambridge Systems Biology Center).

House MR2, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Thursday 04 June 2009, 16:00-17:00

Statistics

Graphical Gaussian Models with Edge and Vertex Symmetries

User Steffen Lauritzen University of Oxford.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 29 May 2009, 16:00-17:00

Machine Learning @ CUED

Using gradient descent for optimization and learning

User Nicolas Le Roux (Microsoft Research).

House Engineering Department, CBL Room 438.

Tuesday 26 May 2009, 13:00-15:00

Statistics

Second Generation Wavelets and Astrophysics

User Gerard Kerkyacharian Paris 10 and LPMA.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 22 May 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Technical Writing

User Finale Doshi (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 21 May 2009, 14:00-15:30

Statistics

Particle Learning

User Nicholas Polson University of Chicago Booth School of Business.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 15 May 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Divergence measures and message passing

User David Knowles (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 14 May 2009, 14:00-15:30

Statistics

Likelihood p-values ancillaries and the vector quantile function

User Don Fraser, University of Toronto.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 08 May 2009, 16:00-17:00

Statistics

Default priors and model parametrization

User Nancy Reid, University of Toronto.

House MR5, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Thursday 07 May 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

The IBM approach to speech separation

User Mikkel N. Schmidt (Technical University of Denmark / Cambridge).

House Engineering Department, CBL Room 438.

Thursday 07 May 2009, 14:00-15:30

Machine Learning Reading Group @ CUED

Parsing Images the UCLA Way

User Tom Stepleton (CMU).

House Engineering Department, CBL Room 438.

Thursday 30 April 2009, 14:00-15:30

Statistics

Handling Sparsity via the Horseshoe

User Carlos Carvalho, University of Chicago Booth School of Business.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 24 April 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Hilbert space embedding of probability distributions

User Ferenc Huszar (Budapest University of Technology and Economics).

House Engineering Department, CBL Room 438.

Thursday 23 April 2009, 14:00-15:30

Machine Learning @ CUED

Learning from Measurements in Exponential Families

User Percy Liang (University of California, Berkeley).

House Engineering Department, CBL Room 438.

Wednesday 25 March 2009, 11:00-12:00

Statistics

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

User James Scott, Duke University.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 13 March 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Bregman Divergences and Machine Learning

User Shakir Mohamed (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 12 March 2009, 14:00-15:30

Machine Learning @ CUED

Shrinkage regression for multivariate inference with missing data, with an application to portfolio balancing

User Robert B. Gramacy (University of Cambridge).

House Engineering Department, CBL Room 438.

Tuesday 10 March 2009, 15:00-16:00

Machine Learning @ CUED

Quasi-linear Sensor Management

User Marco Huber (University of Karlsruhe).

House Engineering Department, CBL Room 438.

Friday 06 March 2009, 15:00-16:00

Statistics

Do New Roads Generate Traffic?

User Charlene Rohr, RAND Europe.

House MR13, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Thursday 05 March 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

The Convex Concave Procedure

User Frederik Eaton (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 05 March 2009, 14:00-15:30

Statistics

Discrete Statistical Modeling using Chain Event Graphs

User Jim Smith, Warwick.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 27 February 2009, 16:00-17:00

Machine Learning @ CUED

An Introduction to Transcriptomics

Machine Learning Tutorial Lecture

User Prof Brendan Frey (University of Toronto).

House Cambridge University Engineering Department, LR4.

Thursday 26 February 2009, 16:00-18:00

Machine Learning Reading Group @ CUED

Hybrids of Generative and Discriminative Models (Cont)

User Simon Lacoste-Julien (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 26 February 2009, 14:00-15:30

Statistics

A generalization of Fisher's exact test: rock-paper-scissors and friendly ghosts

User Robin Hankin.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 20 February 2009, 16:00-17:00

Machine Learning @ CUED

Generalization in Learning

User Yevgeny Seldin (Hebrew University).

House Engineering Department, CBL Room 438.

Friday 20 February 2009, 11:00-12:00

Machine Learning Reading Group @ CUED

Large Margin Training of Hidden Markov Models

User Anton Ragni.

House Engineering Department, CBL Room 438.

Thursday 19 February 2009, 14:00-15:30

Machine Learning @ CUED

Stochastic control as an inference problem

User Prof. Bert Kappen (University of Nijmegen).

House Cambridge University Engineering Department, LR5.

Tuesday 17 February 2009, 14:00-15:00

Statistics

Diffusions limits of the Random Walk Metropolis Algorithm in High Dimensions:

User Natesh Pillai, Warwick.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 13 February 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Hybrid of Generative and Discriminative Models

User Simon Lacoste-Julien (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 12 February 2009, 14:00-15:30

Statistics

Nonparametric inference for networks of queues

User Cornelia Wichelhaus, Universität Heidelberg.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 06 February 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Divergence measures and message passing - CANCELLED

Canceled

User David Knowles (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 05 February 2009, 14:00-15:30

Statistics

Stepwise Searching for Feature Variables in High-Dimensional Linear Regression

User Qiwei Yao, LSE.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 30 January 2009, 16:00-17:00

Machine Learning @ CUED

Extending the Affinity Propagation Model

User Inmar Givoni (University of Toronto).

House Engineering Department, CBL Room 438.

Friday 30 January 2009, 13:00-14:00

Machine Learning Reading Group @ CUED

Distributed Computing for Machine Learning

User Sinead Williamson (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 29 January 2009, 14:00-15:30

Statistics

Stochastic Financial Models - Optional Economics Brief

User Elie Bassouls.

House MR2, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Tuesday 27 January 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

A Hierarchical Bayesian Language Model based on Pitman-Yor Processes

User Matt Shannon (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 22 January 2009, 14:00-15:30

Machine Learning @ CUED

The Block Diagonal Infinite Hidden Markov Model

User Tom Stepleton (CMU).

House Engineering Department, CBL Room 438.

Wednesday 21 January 2009, 13:00-14:00

Machine Learning @ CUED

Probabilistic Graph Models for Debugging Software

User Laura Dietz (Max Planck Institute for Computer Science, Saarbrücken).

House Engineering Department, CBL Room 438.

Monday 19 January 2009, 14:00-15:00

Statistics

Building and fitting a stochastic phylogentic model for Dollo traits, and its application to reconstructing the diversification of the Indo-European languages

User Geoff Nicholls, Oxford.

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 16 January 2009, 16:00-17:00

Machine Learning Reading Group @ CUED

Probabalistic Inference for solving (PO)MDPs

User Finale Doshi (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 15 January 2009, 14:00-15:30

Machine Learning @ CUED

HMMs for Protein Sequencing from Mass Spectrometry Data

User Dr Bernd Fischer (EBI).

House Engineering Department, CBL Room 438.

Tuesday 13 January 2009, 14:00-15:00

Machine Learning Reading Group @ CUED

NIPS Offline Conference

User Machine Learning Across Cambridge.

House Engineering Department, CBL Room 438.

Thursday 11 December 2008, 13:00-14:30

Statistics

Simple Methods to Improve MCMC Efficiency in Random Effect Models

User Bill Brown (University of Bristol).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 05 December 2008, 16:00-17:00

Machine Learning @ CUED

Mondrian Processes

User Yee Whye Teh (Gatsby Unit, UCL).

House Engineering Department, TBA.

Friday 05 December 2008, 14:00-15:00

Machine Learning Reading Group @ CUED

An Introduction to Relational Learning

User Ricardo Silva (UCL Statistics).

House Engineering Department, CBL Room 438.

Thursday 04 December 2008, 14:00-15:30

Statistics

Projective Limits of Bayes Equations

User Peter Orbanz (Dept. Engineering, Cambridge).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 28 November 2008, 16:00-17:00

Machine Learning @ CUED

Deep Networks for Vision

Machine Learning Tutorial Lecture

User Prof Brendan Frey (University of Toronto).

House Cambridge University Engineering Department, LR4.

Thursday 27 November 2008, 16:00-18:00

Machine Learning Reading Group @ CUED

Bayesian Reinforcement Learning in Continuous POMDPs

User Milica Gasic (University of Cambridge.

House Engineering Department, CBL Room 438.

Thursday 27 November 2008, 14:00-15:30

Machine Learning @ CUED

Hardness Ratios

User Yue Wu.

House Engineering Department, CBL Room 438.

Tuesday 25 November 2008, 14:00-14:30

Statistics

Evaluating survey designs for inference of Plasmodium falciparum malaria prevalence

User Anand Patil (University of Oxford).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 21 November 2008, 16:00-17:00

Machine Learning Reading Group @ CUED

Cluster Analysis of Heterogeneous Rank Data

User Peter Orbanz (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 20 November 2008, 14:00-15:30

Statistics

Estimation and variable selection with Lasso and Dantzig Selector in the high-dimensional regression model

User Karim Lounici, Université Paris 7.

House MR11, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Wednesday 19 November 2008, 17:00-18:00

Statistics

Sampling bias in logistic models

User Peter McCullagh (University of Chicago).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 14 November 2008, 16:00-17:30

Machine Learning Reading Group @ CUED

Gaussian Process Latent Variable Models

User Marc Deisenroth (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 13 November 2008, 14:00-15:30

Machine Learning @ CUED

Consensus finding, exponential models and infinite rankings

User Dr Marina Meila (University of Washington).

House Engineering Department, CBL Room 438.

Wednesday 12 November 2008, 13:00-14:00

Statistics

Bayesian Model Determination for Multivariate Ordinal and Binary Data

User Jon Forster (University of Southampton).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 07 November 2008, 16:00-17:00

Machine Learning Reading Group @ CUED

Point Process Intensity Estimation with GP's

User Yunus Saatchi (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 06 November 2008, 14:30-15:30

Statistics

Theoretical properties of Cook's Principal Fitted Components algorithm

User Oliver Johnson (University of Bristol).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 31 October 2008, 16:00-17:30

Machine Learning Reading Group @ CUED

Knows What It Knows: A Framework For Self-Aware Learning

User Pedro Ortega (University of Cambridge).

House Engineering Department, CBL Room 438.

Thursday 30 October 2008, 14:00-15:30

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part III)

User Peter Orbanz (University of Cambridge).

House Engineering Department, CBL Room 438.

Tuesday 28 October 2008, 11:00-13:00

Statistics

Inaugural Lecture as Winton Professor of the Public Understanding of Risk

The Information Bottleneck / Dynamic Kernals for speaker verification

User Zoi Roupakia and Sandy Klemm.

House Engineering Department, CBL Room 438.

Thursday 28 February 2008, 14:00-15:30

Statistics

Equivalence of prospective and retrospective likelihood methods in case-control studies

User Ana-Maria Staicu (Bristol).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 22 February 2008, 14:00-15:00

Machine Learning @ CUED

Statistical Machine Translation

Machine Learning Tutorial Lecture

Machine Learning Tutorial Lecture

User Stephen Robertson, Microsoft Research Cambridge.

House LT2 (Inglis Building) Engineering, Department of.

Thursday 14 February 2008, 16:00-18:00

Machine Learning Reading Group @ CUED

Probabilistic Matrix Factorization/Deep Belief Nets

User Ryan Turner and Phillipp Hennig.

House Engineering Department, CBL Room 438.

Thursday 14 February 2008, 14:00-15:30

Statistics

Adversarial Risk Analysis: A Smallpox Example

User David Banks (Duke University).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 08 February 2008, 14:00-15:00

Machine Learning Reading Group @ CUED

Title to be confirmed

User Tao Li.

House Engineering Department, CBL Room 438.

Thursday 07 February 2008, 14:00-15:00

Machine Learning @ CUED

Stable distribution and data sketching

User Ioana Cosma, Department of Statistics, University of Oxford.

House Engineering Department, CBL Room 438.

Wednesday 06 February 2008, 14:00-15:00

Statistics

Statistical deconvolution problems with Fourier-oscillating error densities

User Alexander Meister (Universitat Ulm).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 01 February 2008, 14:00-15:00

Machine Learning Reading Group @ CUED

Spectral methods

User Ricardo Silva and Arik Azran.

House Engineering Department, CBL Room 438.

Thursday 31 January 2008, 14:00-15:30

Machine Learning @ CUED

Reinforcement Learning

Machine Learning Tutorial Lecture (Note unusual day)

User Peter Dayan, Gatsby Unit, UCL.

House LT2 (Inglis Building) Engineering, Department of.

Tuesday 29 January 2008, 16:00-18:00

Statistics

Machine Learning Reading Group @ CUED

Bayesian Adaptive Inference and Adaptive Training

User Rogier van Dalen and Christian Steinruecken.

House Engineering Department, CBL Room 438.

Thursday 17 January 2008, 14:00-15:30

Statistics

Assessing the finite-dimensionality of functional data

User Celine Vial (Rennes).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 30 November 2007, 14:00-15:00

Machine Learning @ CUED

Gene Regulatory Network Inference: A Kernel-Based Learning Approach

User Sandy Klemm, University of Cambridge.

House Engineering Department, CBL Room 438.

Monday 26 November 2007, 15:00-16:00

Statistics

A Life-Time of Stochastic Self-Organisation - 1977 - 2007

User David Probert (VAZA International).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 23 November 2007, 14:00-15:00

Machine Learning @ CUED

Error Correcting Codes

Machine Learning Tutorial Lecture

User David J.C. MacKay, Department of Physics.

House LR4, Engineering, Department of.

Thursday 22 November 2007, 16:00-18:00

Statistics

Direct and indirect causal effects: a helpful distinction?

User Donald B. Rubin (Harvard).

House MR14, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Thursday 22 November 2007, 14:00-15:00

Machine Learning Reading Group @ CUED

Hierarchical Dirichlet Processes

User Speaker to be confirmed.

House Engineering Department, CBL Room 438.

Thursday 22 November 2007, 14:00-15:30

Machine Learning @ CUED

Clinical data based optimal STI strategies for HIV: a reinforcement learning approach

User Dr Guy-Bart Stan (University of Cambridge).

House Engineering Department, CBL Room 438.

Wednesday 21 November 2007, 14:00-15:00

Statistics

Neither finance nor pharma -- life as an industrial statistician. To be followed by an introduction to the Royal Statistical Society

User Philip Jonathan and Yanyun Wu (Shell).

House MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

Friday 16 November 2007, 14:00-15:00

Machine Learning @ CUED

Machine Learning Applications / Challenges in Natural Language Parsing

Machine Learning Tutorial Lecture

User Ted Briscoe, Computer Laboratory.

House LR4, Engineering, Department of.

Thursday 15 November 2007, 16:00-18:00

Machine Learning Reading Group @ CUED

Statistical Models for Partial Membership

User Katherine Heller.

House 5th floor meeting room, Engineering Department.

Thursday 21 June 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Infinite ICA and Information Retrieval

User Will Youzhi Zou and David Knowles.

House 5th floor meeting room, Engineering Department.

Thursday 14 June 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Overlapping Clusters and 4th-year Projects

User Zoubin Ghahramani and Katherine Heller.

House 5th floor meeting room, Engineering Department.

Thursday 31 May 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

What can Gaussian Processes do for Reinforcement Learning?

User Marc Deisenroth, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.

House 5th floor meeting room, Engineering Department.

Thursday 24 May 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

System Conditioning vs Explicit Bayes Inference, and Collaborative LDA

User Pedro Ortega and Sinead Williamson.

House 5th floor meeting room, Engineering Department.

Thursday 17 May 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Affinity Propagation and Hierarchical Beta Processes

Room changed, Note unusual time

User Arik Azran and Frederik Eaton.

House Room 422b, 4th floor, Engineering Department (Zoubin's office).

Friday 11 May 2007, 11:00-13:00

Machine Learning Reading Group @ CUED

Optimal Learning

User Carl Rasmussen.

House 5th floor meeting room, Engineering Department.

Thursday 03 May 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Gaussian Approximations for Binary Gaussian Process Classification, and Hidden Topic Markov Models

User Hannes Nickisch, Katherine Heller.

House 5th floor meeting room, Engineering Department.

Thursday 26 April 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Function Approximation in MDPs

User Blaise Thomson, CUED.

House 5th floor meeting room, Engineering Department.

Thursday 19 April 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Change Point Problems in Linear Dynamical Systems

Postponed (originally April 5)

User Onno Zoeter, Microsoft.

House 5th floor meeting room, Engineering Department.

Thursday 12 April 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

GP-LVMs

User Joaquin Quiñonero Candela.

House 5th floor meeting room, Engineering Department.

Thursday 29 March 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Topics in Convex Optimisation

User Ryota Tomioka, University of Tokyo.

House 5th floor meeting room, Engineering Department.

Thursday 22 March 2007, 13:00-15:00

Machine Learning @ CUED

Bayesian Ranking

Advanced Machine Learning Tutorial Lecture

User Ralf Herbrich, Microsoft Research Cambridge.

House LR4, Engineering, Department of.

Thursday 15 March 2007, 16:00-18:00

Machine Learning @ CUED

Logistic Regression with a Laplacian prior on the Eigenvalues: Convex duality and application to EEG classification

Note different room and time

User Ryota Tomioka (University of Tokyo / Fraunhofer FIRST).

House LT1 (Inglis Building) Engineering, Department of.

Thursday 15 March 2007, 13:00-14:00

Machine Learning Reading Group @ CUED

An Introduction to Generalized Ensemble MCMC for Machine Learning

User Ulrich Paquet.

House 5th floor meeting room, Engineering Department.

Thursday 08 March 2007, 13:00-15:00

Machine Learning @ CUED

Dirichlet Processes and Hierarchical Dirichlet Processes

Advanced Machine Learning Tutorial Lecture

User Dr Yee Whye Teh, Gatsby Unit, UCL.

House LR4, Engineering, Department of.

Thursday 01 March 2007, 16:00-18:00

Machine Learning Reading Group @ CUED

Some NIPS papers

User Blaise, Katherine, and Zoubin.

House 5th floor meeting room, Engineering Department.

Thursday 01 March 2007, 13:00-15:00

Machine Learning @ CUED

An Introduction to Non-parametric Bayesian Methods

Room changed this week!

User Professor Zoubin Ghahramani, University of Cambridge.

House LR5, Engineering, Department of.

Thursday 22 February 2007, 16:00-18:00

Machine Learning Reading Group @ CUED

Universal Artificial Intelligence, and Probability Monads

User Pedro Ortega and Frederik Eaton.

House 5th floor meeting room, Engineering Department.

Thursday 22 February 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Neural Networks

User Pedro Ortega and Will Youzhi Zou.

House 5th floor meeting room, Engineering Department.

Thursday 15 February 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Latent Dirichlet Allocation and Dirichlet Diffusion Trees

User Frederik Eaton and Sinead Williamson.

House 5th floor meeting room, Engineering Department.

Thursday 08 February 2007, 13:00-15:00

Machine Learning @ CUED

Robot Localisation and Mapping

Advanced Machine Learning Tutorial Lecture

User Dr Paul M Newman, Oxford University.

House LR4, Engineering, Department of.

Thursday 01 February 2007, 16:00-18:00

Machine Learning Reading Group @ CUED

Non-parametric mixture models

User David Knowles and Blaise Thomson.

House 5th floor meeting room, Engineering Department.

Thursday 01 February 2007, 13:00-15:00

Machine Learning Reading Group @ CUED

Active Learning and Experimental Design

Note unusual time

User Andreas Vlachos and Bobby Gramacy.

House 5th floor meeting room, Engineering Department.

Friday 26 January 2007, 13:30-15:30

Machine Learning Reading Group @ CUED

User Dr Neil Lawrence, Computer Science, University of Sheffield.

House LR10, Engineering, Department of.

Tuesday 07 March 2006, 12:30-13:30

Please see above for contact details for this list.