sss40's list

On optimal ranking in crowd-sourcing problems in several scenarios

User Alexandra Carpentier, University of Potsdam.

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

Rates of convergence for tensor denoising

User Sara van de Geer, ETH Zürich.

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

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

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.

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

Spatial causal inference in the presence of unmeasured confounding and interference

User Georgia Padadogeorgou, University of Florida.

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

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

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.

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

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

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.

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

House MR2, Centre for Mathematical Sciences.

Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure

User George Degliannidis, University of Oxford.

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

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

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.

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

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

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.

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

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

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.

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

Concentration and Free Probability

User Afonso Bandeira (ETH Zürich).

Tuesday 12 March 2024, 14:00-15:00

Barycentric subspace analysis for sets of unlabeled graphs

User Anna Calissano (Imperial College).

Friday 01 March 2024, 14:00-15:00

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

An Introduction to Transformer Neural Processes

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 Matt Ashman and Cristiana Diaconu.

Wednesday 28 February 2024, 11:00-12:30

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

Consistent Validation for Predictive Methods in Spatial Settings

User David Burt, MIT.

Friday 23 February 2024, 13:00-14:00

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

Learning Symmetries in Neural Networks

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 James Allingham and Bruno Mlodozeniec .

Wednesday 21 February 2024, 11:00-12:30

Compressed sensing for the sparse Radon transform

User Giovanni Alberti (University of Genova).

Friday 16 February 2024, 14:00-15:00

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

GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecaster’s Christmas)

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 Andrew McDonald and Kenza Tazi, University of Cambridge.

Wednesday 14 February 2024, 11:00-12:30

Robust density estimation and model selection for the L1 loss : Applications to shape-constrained density estimation.

User Hélène Halconruy (Télécom SudParis).

Friday 09 February 2024, 14:00-15:00

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

Bayesian coresets

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 Will Tebbutt, University of Cambridge.

Wednesday 07 February 2024, 11:00-12:30

M-estimation, noisy optimization and user-level local privacy

User Marco Avella Medina (Columbia University).

Friday 02 February 2024, 14:00-15:00

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

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

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

Non-asymptotic control of a kernel 2-sample test

User Perrine Lacroix (ENS Lyon).

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

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

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).

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

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

Modern Bayesian Experimental Design

User Dr Tom Rainforth, OxCSML Group in the Department of Statistics at the University of Oxford.

Tuesday 28 November 2023, 11:00-12:00

Manifold Fitting: an Invitation to Data Science

User Zhigang Yao (National University of Singapore).

Friday 24 November 2023, 14:00-15:00

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

Challenges of Regulating Increasingly Complicated Human-AI Collaborative 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 Dr Miri Zilka and Katie Collins, University of Cambridge.

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

Entropic optimal transport: stability, limit theorems, and algorithms

User Kengo Kato (Cornell University).

Friday 17 November 2023, 14:00-15:00

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

A Poisson Process Model for 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 Greg Flamich, University of Cambridge.

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

Nonparametric Statistics for SPDEs

User Markus Reiss (Humboldt University of Berlin).

Friday 10 November 2023, 14:00-15:00

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

Learning Directed Acyclic Graphs (DAGs) With Continuous Optimization

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 Dr Pingfan Song, University of Cambridge.

Wednesday 08 November 2023, 11:00-12:30

Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views

User Stefano Favaro (University of Turin).

Friday 03 November 2023, 14:00-15:00

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

Deep Learning for Medium-Range Global Weather Prediction

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. Richard Turner and Stratis Markou, University of Cambridge.

Wednesday 01 November 2023, 11:00-12:30

Adaptive two-sample testing

User Arthur Gretton (Gatsby Computational Neuroscience Unit, UCL).

Friday 27 October 2023, 14:00-15:00

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

Learning linear models in-context with transformers

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 Spencer Frei, UC Davis.

Wednesday 25 October 2023, 11:00-12:30

Trading-Off Payments and Accuracy in Online Classification

User Ciara Pike-Burke (Imperial College London).

Friday 20 October 2023, 14:00-15:00

A new coefficient of correlation

User Sourav Chatterjee (Stanford) .

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

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

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

User Isaac Reid, University of Cambridge.

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

Orthogonal prediction of counterfactual outcomes

User Stijn Vansteelandt (Ghent University).

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

Faster log-concave sampling via algorithmic warm starts

User Sinho Chewi (Institute for Advanced Study).

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

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

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

User Jay McClelland, Stanford University .

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

Residual Permutation Test for High-Dimensional Regression Coefficient Testing

User Yuhao Wang, Tsinghua University.

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

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

Compositional mathematics and automatic gradient descent

User Jeremy Bernstein, MIT.

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

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

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.

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

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

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.

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

House Venue to be confirmed.

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

Canceled

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

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

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

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.

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

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

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.

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

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

Bayesian Inference using Generative Models

Room changed

User John Liechty (Pennsylvania State University).

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

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

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.

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

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

Simultaneous Directional Inference

Room changed

User Ruth Heller (Tel-Aviv University).

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

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

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.

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

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

User Aaditya Ramdas (Carnegie Mellon University).

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

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

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.

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

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

User Laura Sangalli (Polytechnic University of Milan).

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

A powerful empirical Bayes approach for high dimensional replicability analysis

User Hongyuan Cao (Florida State University).

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

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

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

User Sam Power, University of Bristol.

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

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

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.

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

Bayesian sensitivity analysis in causal analysis

User Aad van der Vaart (TU Delft).

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

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

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.

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

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

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) .

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

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

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).

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

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

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).

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

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

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).

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

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

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).

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

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

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).

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

Statistical Challenges in Genetic Analysis of Biobank Data

Note unusual time

User Hongyu Zhao (Yale University).

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

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

Random Features for Kernel Approximation

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 Isaac Reid (University of Cambridge).

Wednesday 08 March 2023, 11:00-12:30

Linear regression with unmatched data: a deconvolution perspective

User Mona Azadkia (London School of Economics).

Friday 03 March 2023, 14:00-15:00

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

An Overview of Differential Privacy, Membership Inference Attacks, and Federated 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 Ali Shahin Shamsabadi (Alan Turing Institute) and John Bronskill (University of Cambridge).

Wednesday 01 March 2023, 11:00-12:30

Stochastic Causal Programming for Bounding Treatment Effects

User Ricardo Silva (UCL).

Friday 24 February 2023, 14:00-15:00

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

Bayesian Neural Networks

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 James Allingham, Javier Antorán, Vincent Fortuin (University of Cambridge).

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

Parameterizing and Simulating from Causal Models

User Robin Evans (University of Oxford).

Friday 17 February 2023, 14:00-15:00

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

Offline Reinforcement 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 Max Patacchiola (University of Cambridge), Stephen Chung (University of Cambridge), Adam Jelley (University of Edinburgh).

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

The Kalman-Bucy filter revisited: Mean-field equations & duality

Joint Statistics and CCIMI Seminar (note unusual time)

User Sebastian Reich (University of Potsdam).

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

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

{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.

User Jixiang Qing, SUMO lab, Ghent University,.

Wednesday 08 February 2023, 11:00-12:30

Counterfactual fairness (CANCELLED)

User Joshua Loftus (London School of Economics).

Friday 03 February 2023, 14:00-15:00

House Cambridge University Engineering Department, Lecture Room 4.

Calls to F the Algorithm: Lessons from the 2020 Exam Debacle

User Roger Taylor, former Chair of Ofqual.

Monday 30 January 2023, 11:00-12:00

Variational Bayesian inference for PDE based inverse problems

User Ieva Kazlauskaite (University of Cambridge).

Friday 27 January 2023, 14:00-15:00

Randomisation for Agnostic Selective Inference

User Alastair Young (Imperial College, London).

Friday 20 January 2023, 14:00-15:00

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

Scalable simulation and inference in non-Gaussian stochastic PDEs

User David Duvenaud (University of Toronto).

Thursday 15 December 2022, 11:00-12:00

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

Scalable simulation and inference in non-Gaussian stochastic PDEs

User David Duvenaud (University of Toronto).

Thursday 15 December 2022, 11:00-12:00

Biostatistics: successes, challenges and opportunities

Unusual starting time to accommodate a special tea event after the seminar

User John Whittaker (MRC Biostatistics Unit).

Friday 25 November 2022, 15:00-16:00

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

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

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

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

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

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.

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

Gaussian processes, spectral analysis kernels and optimal transport

User Felipe Tobar, Universidad de Chile.

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

Simulation of random fields on Riemannian manifolds

User Annika Lang (Chalmers University of Technology).

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

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

Deep Reinforcement Learning for Multi-Agent Interaction

User Stefano Albrecht, Edinburgh.

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

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

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.

User Vihari Piratla and Shreyas Padhy.

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

House Lecture Theatre 6 (LT6), Department of Engineering.

Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement

User Lachan Thorpe, Hawk-Eye Innovations.

Monday 14 November 2022, 13:00-14:00

Flexible Multiple Testing with All-Resolutions Inference

User Jelle Goeman (Leiden University Medical Center).

Friday 11 November 2022, 14:00-15:00

House Cambridge University Engineering Department, CBL Seminar room BE4-38. Zoom link available upon request..

A tutorial on diffusion models

User Emile, Sasha from CBL.

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

Local Independence Graphs

User Niels Richard Hansen (University of Copenhagen).

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

Latent space models for multiplex networks with shared structure

User Elizaveta Levina (University of Michigan).

Friday 28 October 2022, 14:00-15:00

Resampling methods for networks

User Liza Levina (Michigan).

Thursday 27 October 2022, 17:00-18:00

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

Benchmarking and evaluation in contemporary machine learning

User Austin Tripp and Shoaib Siddiqui, University of Cambridge.

Wednesday 26 October 2022, 11:00-12:30

Root and community inference on Markovian models of networks

User Min Xu (Rutgers University).

Friday 21 October 2022, 14:00-15:00

Comparison of Markov chains via weak Poincaré inequalities, with application to pseudo-marginal MCMC

User Sam Power (University of Bristol).

Friday 14 October 2022, 14:00-15:00

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

Advanced artificial agents intervene in the provision of reward

User Michael Cohen, University of Oxford.

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

House MR5, Centre for Mathematical Sciences.

Long Story Short: Omitted Variable Bias in Causal Machine Learning

Statistics and CCIMI seminar, followed by a drinks reception

User Victor Chernozhukov (MIT).

Friday 07 October 2022, 16:00-17:00

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

Theory and Practice of Infinitely Wide Neural Networks - Guest Talk

User Roman Novak, Google Brain.

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

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

The unreasonable effectiveness of mathematics in large scale deep learning

User Greg Yang, Microsoft Research.

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

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

The role of meta-learning for few-shot classification

User Eleni Triantafillou, Google Brain.

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

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

Noise-Aware Differentially Private Synthetic Data

User Antti Honkela, University of Helsinki.

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

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

Benefits and Shortcomings of Assistance

User Dmitrii Krasheninnikov and Lauro Langosco, University of Cambridge.

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

(CANCELLED) Stochastic Causal Programming for Bounding Treatment Effects

User Ricardo Silva (UCL).

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

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

Estimating RSV seasonality from pandemic disruptions: a modelling study

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

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

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

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

User Speaker to be confirmed.

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

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

Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks

User Speaker to be confirmed.

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

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

A machine learning approach for causal structure estimation in high dimensions

User Sach Mukherjee (MRC Biostatistics Unit).

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

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

Rethinking evaluation for machine learning models

User Adrian Goldwaser & Shoaib Siddiqui.

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

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

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

User Speaker to be confirmed.

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

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

Optimal prediction of Markov chains without mixing conditions

User Yihong Wu (Yale University).

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

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

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

User Anastasios Angelopoulos, PhD student at UC Berkeley.

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

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

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

User David Burt, University of Cambridge.

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

Minimum L1-norm interpolators: Precise asymptotics and multiple descent

User Yuting Wei (University of Pennsylvania).

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

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

Bests of ICLR

User Speaker to be confirmed.

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

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

Graph neural network approach for decentralized multi-robot coordination

User University of Cambridge.

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

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

Machine Learning with Quantum Computers

User Amira Abbas and Maria Schuld.

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

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

Autoregressive Diffusion Models

User Emiel Hoogeboom.

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

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

An Overview of AI Alignment

User Neel Alex, University of Cambridge.

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

Demystifying Deep Learning

User Rob Nowak (U. Wisconsin).

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

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

The Bayesian Learning Rule for Adaptive AI

User Emti Khan, RIKEN center for Advanced Intelligence Project.

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

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

Introduction to differential privacy

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

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

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

Random Planted Forest: a directly interpretable tree ensemble

User Enno Mammen (Heidelberg University).

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

Interpretable Model-Independent Detection of New Physics Signals

User Purvasha Chakravarti (Imperial College London).

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

House Cambridge University Engineering Department ,LR3A.

Retrieval Augmented NLP

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

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

House Cambridge University Engineering Department ,LR3A.

Circuits and Interpretability

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

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

Robust inference for intractable likelihood models using kernel divergences

User Francois-Xavier Briol (UCL).

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

House Cambridge University Engineering Department ,LR3A.

Optimal Transport Metrics

User Shreyas Padhy, University of Cambridge.

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

House Cambridge University Engineering Department ,LR3A.

Learned Compression

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

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

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

User Tengyao Wang (LSE).

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

House Cambridge University Engineering Department, LR12.

Diffusion and Score-based Generative Models

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

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

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

AI Safety

User Neel Alex.

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

[Cancelled] Best of Neurips

User Speaker to be confirmed.

House Online-only.

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

House Cambridge University Engineering Department ,LR3A.

Energy-Based Models

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

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

CANCELLED: Systematic inducement of sparsity

User Heather Battey (Imperial College London).

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

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

User Richard Guo (University of Cambridge).

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

House Cambridge University Engineering Department ,LR3A.

Deep Kernels

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

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

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

Random Graph Asymptotics for Treatment Effect Estimation under Network Interference

User Shuangning Li (Stanford University).

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

House Cambridge University Engineering Department ,LR3A.

Mean Field Theory of NN (postponed to March 2022)

User Speaker to be confirmed.

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

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

New Approaches for Inference on Optimal Treatment Regimes

User Lan Wang (University of Miami).

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

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

Representation Learning: A Causal Perspective

User Yixin Wang.

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

House Cambridge University Engineering Department ,LR3A.

Ethics, Integrity and Good Practice in ML

User Ross Clarke (University of Cambridge).

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

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

MARS via LASSO

User Aditya Guntuboyina (UC Berkeley).

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

House Cambridge University Engineering Department ,LR3A.

Implicit Regularization in Deep Learning

User Jezabel Garcia, Alberto Bernacchia (MediaTek Research).

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

House Cambridge University Engineering Department ,LR3A.

Planning Meeting + PI Presentations

User CBL and Computer Lab PIs.

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

TBC

User Lester Mackey (Microsoft Research).

House Zoom.

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

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

Kernel Thinning and Stein Thinning

User Lester Mackey (Microsoft Research).

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

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

Global testing for dependent Bernoullis

User Sumit Mukherjee (Columbia University).

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

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

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

User Matej Zecevic, TU Darmstadt.

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

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

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

User Cristina Savin, New York University.

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

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

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.

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

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

CBL Alumni Talk: Finale Doshi-Velez

User Finale Doshi-Velez, Harvard University.

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

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

Pseudo-Points and State-Space Gaussian Processes

User Will Tebbutt (University of Cambridge).

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

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

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

User David Duvenaud, University of Toronto.

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

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

The Statistical Finite Element Method

User Mark Girolami (University of Cambridge).

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

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

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

User Rina Foygel Barber, University of Chicago.

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

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

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

User Bhaswar Bhattacharya, University of Pennsylvania.

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

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

CBL Alumni Talk - Our Power as Technical Designers

User Shakir Mohamed, Deepmind.

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

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

Correlated randomly growing graphs

User Miklos Racz, Princeton University.

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

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

Best of ICLR

User Speaker to be confirmed.

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

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

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

User Mark van der Wilk, Imperial College London.

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

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

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

User Yuansi Chen, Duke University.

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

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

An Introduction to PAC-Bayes

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

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

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

Automated Augmented Conjugate Inference for Gaussian Processes

User Théo Galy-Fajou (TU Berlin).

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

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

CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning

User Andrew Gordon Wilson.

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

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

Online Learning and Online Convex Optimisation

User Siddharth Swaroop (University of Cambridge).

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

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

Monte Carlo Gradient Estimation in Machine Learning

User James Allingham (University of Cambridge).

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

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

Secondmind's research activities to make Gaussian Processes industry proof

User Nicolas Durrande, Director of Research at Secondmind.

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

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

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

User Yaniv Yacoby, Harvard University.

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

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

Gaussian Processes I have Known

User Anthony O'Hagan, University of Sheffield.

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

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

Causal Representation Learning

User Chaochao Lu, University of Cambridge.

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

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

Functional Models for Time Varying Random Objects

User Paromita Dubey, Stanford University.

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

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

Long-Range Transformers

User Valerii Likhosherstov, University of Cambridge.

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

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

Seminar Cancelled

User Rina Foygel Barber (University of Chicago).

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

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

Inference in Stochastic Processes

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

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

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

Optimal rates for independence testing via U-statistic permutation tests

User Tom Berrett, University of Warwick.

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

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

Fairness in AI

User Elre Oldewage (University of Cambridge).

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

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

Variational Bayes as Surrogate Regression

User Will Tebbutt (University of Cambridge).

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

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

Distribution-Free, Risk-Controlling Prediction Sets

User Stephen Bates, University of California Berkeley.

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

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

A precise high-dimensional asymptotic theory for Adaboost

User Pragya Sur (Harvard University).

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

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

Bayesian optimization / Gaussian Process Bandits

User Sattar Vakili (MediaTek Research).

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

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

Meta-reinforcement learning

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

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

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

Best of NeurIPS

User Speaker to be confirmed.

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

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

Neural Processes

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

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

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

Generalized Kernel Two-Sample Tests

User Hao Chen (University of California, Davis).

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

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

Large-scale sequential experimentation

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

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

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

Symmetries in Reinforcement Learning

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

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

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

Provable representation learning in deep learning

User Jason Lee (Princeton University).

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

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

Gradient-based Hyperparameter Optimisation

User Ross Clarke (University of Cambridge).

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

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

Minimax estimation of smooth densities in Wasserstein distance

User Jonathan Niles-Weed (Courant Institute).

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

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

Best Papers from ICML 2020

User Reading group participants.

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

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

Model selection for estimation of causal parameters

User Dominik Rothenhaeusler (Stanford University).

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

House Venue to be confirmed.

Title to be confirmed

User Jonathan Niles-Weed (Courant Institute).

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

House Virtual (see abstract for Zoom link).

Efficient and Structured Uncertainty: Challenges and Opportunities

User Andrey Malinin, Yandex Research.

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

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

Active Learning

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

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

House Venue to be confirmed.

Recent advances in the theory and applications of VAEs

User Gergely Flamich and Alexandru Cioba.

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

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

Implicit Regularization for Optimal Sparse Recovery

User Varun Kanade, University of Oxford.

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

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

Improved Nonparametric Empirical Bayes Estimation using Transfer Learning

User Gourab Mukherjee, University of Southern California.

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

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

Network Representation Using Graph Root Distributions

User Jing Lei, Carnegie Mellon University.

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

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

Neyman-Pearson Classification

User Xin Tong, University of Southern California.

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

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

Best of ICLR 2020

User (University of Cambridge).

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

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

Spillover Effects in Cluster Randomized Trials with Noncompliance

User Hyunseung Kang, University of Wisconsin.

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

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

Differentiable Planning

User Will Tebbutt, Robert Pinsler.

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

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

Langevin Monte Carlo for Degenerately Convex Potentials

User Murat Erdogdu, University of Toronto.

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

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

Recent Developments in Bayesian Deep Learning

User Andrew Foong, Siddharth Swaroop.

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

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

Strategic Classification

User Jiri Hron (University of Cambridge).

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

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

Machine Learning on Sets

User (University of Cambridge).

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

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

Boltzmann Generators and Stochastic Normalizing Flows

User Vincent Stimper, Michael Bromberg.

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

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

World Models

User Dr Gregor Simm (University of Cambridge).

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

Federated Learning

User Siddharth Swaroop (University of Cambridge).

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

Network change point detection

User Yi Yu, University of Warwick.

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

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

User wellman@umich.edu.

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

Selection bias, missing data and causal inference

User Kate Tilling, University of Bristol.

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

Self-Supervised Representation Learning

User Javier Antoran (University of Cambridge).

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

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.

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

Kernel Mean Embeddings

User Elre Oldewage (University of Cambridge).

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

Posterior contraction rates for potentially nonlinear inverse problems

User Sergios Agapiou, University of Cyprus.

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

Neural Tangent Kernel

User Adria Garriga Alonso, Sebastian Ober.

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

On Statistical Learning for Individualized Decision Making with Complex Data

User Chengchun Shi, London School of Economics.

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

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

User Aretha Teckentrup, University of Edinburgh.

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

Optimal Transport: Fast Probabilistic Approximation with Exact Solvers

User Yoav Zemel, University of Cambridge.

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

Robust Deep Learning Under Distribution Shift

User Zack Lipton, CMU.

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

Approximate Cross Validation for Large Data and High Dimensions

User Tamara Broderick, Massachusetts Institute of Technology.

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

Scalable Gaussian Processes

User David Burt, Andrew Foong.

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

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

User Alain Durmus — École Normale Superieure, Cachan.

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

Probabilistic Programming

User Hong Ge and John Bronskill.

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

Optimal Transport for Machine Learning

User Gabriel Peyré — École Normale Superieure.

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

Neural Attention

User Elre Oldewage, George Hron.

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

Multiscale Analysis of Bayesian CART

User Veronika Rockova — University of Chicago.

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

Equivariance and Symmetries in CNNs

User James Allingham, Omer Sella.

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

Models and inference for temporal Gaussian processes

User William Wilkinson, Aalto University, Finland.

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

Identifying Cointegration by Eigenanalysis

User Qiwei Yao — London School of Economics.

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

Hyperparameter Optimisation

User Ross Clarke, Erik Daxberger, Austin Tripp.

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

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

User Henry Reeve — University of Birmingham.

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

Meta-Learning or "Learning To Learn"

User John Bronskill, Marton Havasi.

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

Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency

User Haitham Ammar, Huawei.

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

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

User Vincent Fortuin, ETH Zurich.

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

On Estimation of Unnormalized Density Models

User Song Liu — University of Bristol.

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

Explaining Neural Networks: Post-hoc and Natural Language Explanations

User Oana Camburu, University of Oxford.

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

Hamiltonian Monte Carlo for Hierarchical Models

User Vidhi Lalchand.

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

Asymptotic normality of certain transformation averages

User Peter Orbanz — University College London.

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

Distributed Statistics à la Economics

User Elchanan Mossel (MIT).

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

Simplicity and Complexity of Belief-Propagation

User Elchanan Mossel (MIT).

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

On the robustness of gradient-based MCMC algorithms

User Sam Livingstone — University College London.

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

Learning-Algorithms from Bayesian Principles

User Emti Khan, RIKEN center for Advanced Intelligence Project.

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

Rotation Invariant Householder Parameterization for Bayesian PCA

User Rajbir Nirwan, Goethe University, Frankfurt.

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

Two Approximate Sampling Methods for Bayesian Deep Learning

User Wesley Maddox (New York University).

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

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.

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

Efficiency and Transferability of Neural Networks

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

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

Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference

User Trevor Campbell, University of British Columbia.

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

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

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

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

Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition

User Konstantinos P. Panousis.

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

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

User Reza Babaei.

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

Geometrizing rates of convergence under local differential privacy

User Lukas Steinberger, University of Freiburg.

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

Recent Developments in the Study of Single-Index Type Models

User Mouli Banerjee, University of Michigan.

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

Nonparametric maximum likelihood methods for binary response models with random coefficients

User Roger Koenker, University College London.

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

House Centre for Mathematical Sciences, meeting room MR14.

Communication in the presence of sparsity

User Yiannis Kontoyiannis (Cambridge).

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

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

User Masoumeh Dashti, University of Sussex.

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

On distributed Bayesian computation

User Harry van Zanten, University of Amsterdam.

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

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

User Victoria Rege, Scott Griffiths.

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

Particle MCMC

User Will Tebbutt (University of Cambridge).

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

On the Consistency of Supervised Learning with Missing Values

User Julie Josse, École Polytechnique.

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

[Special Statslab Seminar] Scalable methods for machine learning optimisation

User Milan Vojnovic (LSE).

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

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

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

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

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

Stochastic Differential Equations

User David Burt.

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

Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees

User Umut Şimşekli, Télécom Paristech.

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

Generalisation in neural networks

User Marton Havasi.

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

Nuisance parameters

User Heather Battey, Imperial College London.

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

An Overview of Normalizing Flows

User Robert Pinsler.

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

NeVAE: A Deep Generative Model for Molecular Graphs

User Abir De, Max Planck Institute for Software Systems.

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

Global model explainability via aggregation

User Umang Bhatt, CMU.

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

Sampling as Optimization

User Eric Nalisnick, University of Cambridge.

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

Robust machine learning for causal inference in health care

User David Sontag, MIT.

Computational Neuroscience

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

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

Implicit Variational Inference

User Andrew Foong (University of Cambridge).

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

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

User Kostas Zygalakis, University of Edinburgh.

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

Continual Learning: Definitions, Benchmarks, and Approaches

User Siddharth Swaroop (University of Cambridge).

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

Analysis of Networks via the Sparse β-Model

User Chenlei Leng, University of Warwick.

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

Causal Inference and Causal Reinforcement Learning

User Chaochao Lu (University of Cambridge).

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

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

User Davy Paindaveine, Université Libre de Bruxelles.

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

Generative models for few-shot prediction tasks

User Marta Garnelo (Google DeepMind).

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

On the fundamental understanding of distributed computation

User Botond Szabó, University of Leiden.

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

Online Meta-Learning

User Massimiliano Pontil, University College London.

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

Logical Uncertainty

User Adrià Garriga Alonso (University of Cambridge).

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

Post-selection confidence intervals and confidence curves

User Gerda Claeskens, Katholieke Universiteit Leuven .

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

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

User Sylvain Sardy, Université de Genève.

Computational Neuroscience

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

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

Gauge Equivariant Convolutional Networks on Manifolds

User Taco Cohen.

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

Stein Discrepancy

User Sebastian Ober (University of Cambridge).

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

Geometric MCMC for infinite-dimensional Bayesian Inverse Problems

User Alexandros Beskos, University College London .

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

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

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

User Tom Everitt (DeepMind).

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

On the hypocoercivity of some PDMP-Monte Carlo algorithms

User Christophe Andrieu, University of Bristol.

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

Fairness for Sequential Decision Making Algorithms

User Hoda Heidari.

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

Gaussian processes for inferring latent functions in complex data models

User Martin Tegner.

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

Neural Ordinary Differential Equations

User Eric T Nalisnick (University of Cambridge).

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

Posterior concentration for Bayesian regression trees and their ensembles

User Stephanie van der Pas, University of Leiden.

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

Natural gradient in deep neural networks

User Alberto Bernacchia (University of Cambridge).

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

Concentration of tempered posteriors and of their variational approximations

User Pierre Alquier, ENSAE.

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

Graph Neural Networks

User Matej Balog (University of Cambridge).

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

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

User Laurent Massoulié, INRIA.

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

Defending Against Adversarial Attacks

User Ross Clarke (University of Cambridge).

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

Towards a better understanding of early stopping for boosting algorithms

User Yuting Wei, Stanford University.

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

Reinforcement Learning and Control as Probabilistic Inference

User Robert Pinsler, Calvin Kao.

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

Bayesian regression models for complex spatially or serially correlated functional data

User Jeffrey Morris, MD Anderson Cancer Center.

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

Nonparametric Bayes for support boundary recovery

User Johannes Schmidt-Hieber, University of Leiden.

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

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

User Emanuele Dolera, Università degli Studi di Pavia.

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

Heteroskedastic PCA: Algorithm, Optimality, and Applications

User Tony Cai, University of Pennsylvania.

House MR13.

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

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

User Mihaela van der Schaar .

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

When Statistics Meets Computing

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

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

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

Interpretability - the myth, questions, and some answers

User Been Kim, Google Brain.

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

House dyson teaching room (TBC).

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

User Biwei Huang, CMU.

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

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.

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

Variance in Policy Gradient methods and Learning Sequential Latent Variable Models

User George Tucker, Google Brain.

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

Structured deep models: Deep learning on graphs and beyond

User Thomas Kipf (Uni of Amsterdam).

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

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

User Joel Tropp (Caltech).

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

House Cambridge University Engineering Department, Lecture Room 4.

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

User Prof. Michael Kearns (University of Pennsylvania).

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

What is the dimension of a stochastic process?

User Victor Panaretos (EPFL).

House MR11.

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

Title to be confirmed

User Sabyasachi Chatterjee (UIUC).

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

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

User Julius von Kugelgen.

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

On momentum methods and acceleration in stochastic optimization

User Praneeth Netrapalli (Microsoft Research India).

House MR14.

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

Bayesian estimation of the mean response in a missing data model

User Kolyan Ray (King's College London).

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

Multiple change point estimation based on moving sum statistics

User Claudia Kirch (Magdeburg).

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

Algorithmic Glass Ceiling in Social Networks

User Ana Stoica, Columbia University.

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

Orbit recovery from invariants

User Jonathan Weed (MIT).

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

House Cambridge University Engineering Department, Lecture Room 11.

A Bayesian Perspective on Generalization and SGD

User Dr. Samuel L. Smith, Google Brain.

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

Algorithmic Glass Ceiling in Social Networks

User Ana Stoica, Columbia University.

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

Neural Networks and Natural Language Processing

User Matej Balog (University of Cambridge).

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

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

User John P. Cunningham.

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

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

User Claire Boyer (UPMC).

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

Information Theory, Codes, and Compression

User Christian Steinruecken (University of Cambridge).

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

Approximations of the Restless Bandit Problem

User Azadeh Khaleghi (Lancaster).

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

Lipschitz Global Optimization

User Professor Yaroslav D Sergeyev, Universita della Calabria.

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

House Engineering Department, CBL Seminar Room 4-38.

Statistical Learning Theory

User Maria Lomeli.

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

House Engineering Department, CBL Seminar Room 4-38.

Deep Generative Models

User Jonathan Gordon; Alexander Matthews.

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

Bayesian nonparametric estimation of the intensities in multivariate Hawkes processes

User Judith Rousseau (Oxford).

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

House Engineering Department, CBL Seminar Room 4-38.

Minimum Description Length

User Carl E. Rasmussen; Niki Kilbertus.

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

House Engineering Department, CBL Seminar Room 4-38.

Machine Learning for Sounds

User Akisato Kimura.

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

House Engineering Department, CBL Seminar Room 4-38.

NIPS 2017 Highlights

User Speaker to be confirmed.

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

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

User Manfred Opper, TU Berlin.

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

Bayesian Generative Adversarial Networks

User Professor Andrew Wilson, Cornell University.

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

AI for Inclusive Finance

User Alan Qi and Le Song.

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

House Engineering Department, CBL Seminar Room 4-38.

Hardware Efficient Machine Learning

User Robert Peharz; Marton Havasi.

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

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

User Geoff Roeder (University of Toronto).

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

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

User Martin Wainwright (UC Berkeley).

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

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

User Xiaohong Chen (Yale).

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

Learning to Learn without Gradient Descent by Gradient Descent

User Yutian Chen, DeepMind.

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

House Engineering Department, CBL Seminar Room 4-38.

Learning to Learn

User Siddharth Swaroop; Will Tebbutt.

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

Learning from MOM's principles

User Guillaume Lecué (ENSAE).

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

Towards true end-to-end learning & optimization

User Dr Frank Hutter.

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

House Engineering Department, CBL Seminar Room 4-38.

WGAN and Optimal Transport

User Mark Rowland; Wenbo Gong.

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

Accelerated Consensus via Min-Sum Splitting

User Patrick Rebeschini (Oxford).

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

House Engineering Department, CBL Seminar Room 4-38.

Interpretability in Machine Learning

User Adrian Weller; Tameem Adel Hesham.

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

House Engineering Department, CBL Seminar Room 4-38.

Deep Structured Prediction for Handwriting Recognition

User Juan Murillo Fuentes.

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

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

User Joshua Kroll.

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

Online nonparametric regression with adversarial data

User Pierre Gaillard (INRIA Paris).

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

House Engineering Department, CBL Seminar Room 4-38.

Cooperative Inverse RL

User Robert Pinsler; Adria Garriga Alonso.

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

Analysis of regularized inversion of data corrupted by white Gaussian noise

User Hanne Kekonnen.

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

House Engineering Department, CBL Seminar Room 4-38.

Infer.NET

User John F. Bronskill.

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

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

User Prof. Aapo Hyvarinen.

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

House JDB Seminar Room, CUED.

Transfer Learning for NLP

User Sebastian Ruder, INSIGHT Centre.

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

CCIMI Seminar: Kernel-based Methods for Bandit Convex Optimization

User Sébastien Bubeck (Microsoft Research Redmond).

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

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

User Dr Cheng Zhang.

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

Unbiased Estimation of the Eigenvalues of Large Implicit Matrices

User Professor Ryan Adams, Princeton.

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

The Grammar Variational Autoencoder & Counterfactual Fairness

User Dr Matt Kusner.

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

Accelerating computation of SVM and DNN by binary approximation

User Hironobu Fujiyoshi (Chubu University) .

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

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

User Mariko Isogawa (NTT Media Intelligence Laboratories) .

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

Deep learning for autonomous driving

User Takayoshi Yamashita (Chubu University) .

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

Understanding Black-box Predictions via Influence Functions

User Pang Wei Koh, Stanford University.

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

A simple neural network module for relational reasoning

User David Barrett, DeepMind.

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

Future technology: machine learning using memristors networks

User Francesco Caravelli (LANL).

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

Future technology: machine learning using memristors networks

User Francesco Caravelli (LANL).

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

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

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

User Ahmed El Alaoui (UC Berkeley).

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

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

Variable clustering: optimal bounds and a convex approach

User Nicolas Verzelen (INRA).

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

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

Computationally Efficient Nonparametric Testing

User Guang Cheng (Purdue).

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

House JDB Seminar Room, CUED.

On Different Distances Between Distributions and Generative Adversarial Networks

User Martin Arjovsky.

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

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

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

User Mihai Cucuringu (Oxford).

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

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

Constrained low-rank matrix estimation

User Lenka Zdeborova (IPhT).

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

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

Statistical challenges posed by the analyses of the human microbiome

User Susan Holmes (Stanford).

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

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

The Bouncy Particle Sampler

User Alexandre Bouchard-Côté (UBC).

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

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

Geometric aspects of Statistical Learning Theory

User Shahar Mendelson (ANU).

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

Deep Learning Book - Meeting 9 - Representation Learning

User Group Discussion.

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

Deep Learning Book - Meeting 8 - Autoencoders

User Group Discussion.

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

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

User Group Discussion.

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

Kernel Mean Embeddings

User Jiri Hron; Adam Scibior.

Information Engineering Division seminar list

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

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

Deep Learning Book - Meeting 6 - Recurrent Neural Networks

User Group Discussion.

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

Differentially Private Bayesian Learning

User Dr Antti Honkela, University of Helsinki.

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

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

Discrete structures and prediction in Bayesian Nonparametrics

User Igor Pruenster (Universita' Bocconi).

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).

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

Differential Privacy

User John Bradshaw; Alex Matthews.

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

Differential Privacy Tutorial

User Alex Matthews and John Bradshaw, University of Cambridge.

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

Deep Learning Book - Meeting 5 - ResNets and DenseNets

User Group Discussion.

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

Cooperative Inverse Reinforcement Learning

User Dylan Hadfield-Menell, UC Berkeley.

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

Deep Learning Book - Meeting 4 - Convolutional Networks

User Group Discussion.

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

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

High frequency statistics of semimartingales

User Mark Podolskij (Aarhus).

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

Probabilistic Numerics

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

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

Deep Learning Book - Meeting 3 - Optimization

User Group Discussion.

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

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

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

User Haeran Cho (Bristol).

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

Bayesian optimisation in many dimensions with bespoke probabilistic programs

User Valentin Dalibart.

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

Deep Learning Book - Meeting 2 - Regularization

User Group Discussion.

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

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

Sleeping Beauty’s Credences

User Mark Schervisch (CMU).

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

Deep Learning Book - Meeting 1 - Deep Feedforward NNs

User Group Discussion.

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

Variational Bayes In Private Settings

User Mijung Park, University of Amsterdam.

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

Julia: Introduction and new developments

User Dr Simon Byrne (Julia Computing).

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

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

High-Dimensional Bayesian Geostatistics

User Sudipto Banerjee (UCLA).

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

NIPS 2016 papers in 5mins

User MLG members.

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

Bayesian optimality and frequentist extended admissibility are equivalent in saturated models

User Daniel Roy (University of Toronto).

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

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

User Elena Corina Grigore (Yale University).

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

Variational autoencoders with latent graphical models

User Prof David Duvenaud (University of Toronto).

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

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

Gaussian vectors, half-spaces, and convexity

User Joe Neeman (UT Austin & Bonn).

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

Symmetry in Statistical Models

User Mark Rowland; Maria Lomeli.

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

Learning with limited supervision

User Stefano Ermon, Stanford.

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

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

Measuring sample quality with diffusions

User Sebastian Vollmer (Oxford).

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

Bayesian Optimization

User Pawel Budzianowiski; Brian Trippe.

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

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

User Krzysztof Choromanski, Google NY.

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

Rejection Sampling Variational Inference

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

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

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

Principal Nested Shape Space Analysis of Molecular Dynamics Data

User Ian Dryden (Nottingham).

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

deep generative models

User Dave Janz; James Requeima.

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

Probabilistic Numerical Computation: A New Concept?

User Prof. Mark Girolami (University of Warwick).

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

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

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

User Professor Vladimir Koltchinskii, Georgia Tech..

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

Sketching methods

User John Bradshaw.

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

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

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

User Professor Vladimir Koltchinskii, Georgia Tech..

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

House Dyson Meeting Room on the Ground Floor.

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

User Prof. Jeff Clune (U Wyoming).

Monday 07 November 2016, 11:00-12:00

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

Constrained and Localized Nonparametric Estimation and Optimization

User John Lafferty (U of Chicago).

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

A crash-course on Bayesian Reinforcement Learning

User Alexandre Khae Wu Navarro (University of Cambridge); Amar Shah.

Thursday 03 November 2016, 13:30-15:00

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

User Tomoharu Iwata - Learning and Intelligent Systems Research Group of NTT Communication Science Laboratories, Kyoto, Japan.

Thursday 03 November 2016, 11:00-12:00

Robots learning on the move: deep learning from lots of demonstration

User Dushyant Rao, Oxford Robotics Institute.

Wednesday 02 November 2016, 11:00-12:00

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

Normal Approximation and Concentration for Functions of Sample Covariance Operators

User Vladimir Koltchinskii (Georgia Tech).

Friday 28 October 2016, 16:00-17:00

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

Minimax adaptive estimation in nonparametric Hidden Markov Models

User Yohann de Castro (Paris Sud - Orsay).

Friday 21 October 2016, 16:00-17:00

Probabilistic modeling for position and orientation estimation using inertial sensors

User Manon Kok, Department of Electrical Engineering, Linköping University.

Thursday 20 October 2016, 10:00-11:00

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

Community Detection on the Weighted Stochastic Block Model

User Min Xu (U Penn).

Friday 14 October 2016, 16:00-17:00

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

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

User Francis Bach (INRIA).

Friday 07 October 2016, 16:00-17:00

Moment matching for latent variable models: from ICA to LDA and CCA

User Professor Francis Bach (INRIA, ENS).

Thursday 06 October 2016, 11:00-12:00

Multiresolution Matrix Factorization

User Prof Risi Kondor (U Chicago).

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

Dynamic Models for Health Data

User Professor Katherine A Heller (Duke University).

Monday 12 September 2016, 11:00-12:00

Learning with Memory Embeddings

User Professor Volker Tresp (Ludwig Maximilian University of Munich).

Thursday 08 September 2016, 11:00-12:00

Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories

User Johan Schoukens, Vrije Universiteit Brussel.

Friday 02 September 2016, 11:00-12:00

Inference as Learning

User George Papamakarios (University of Edinburgh).

Monday 08 August 2016, 11:00-12:00

Interpretable and interactive machine learning

User Dr Been Kim.

Friday 29 July 2016, 11:00-12:00

Discriminative Embeddings of Latent Variable Models for Structured Data

User Prof Le Song (Georgia Tech).

Monday 25 July 2016, 11:00-12:00

House James Dyson Building Meeting Room on the Ground Floor.

Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology

User Professor Mike West (Statistical Science, Duke University).

Thursday 21 July 2016, 11:00-12:00

House James Dyson Building Meeting Room on the Ground Floor.

Scaling and Generalizing Approximate Bayesian Inference

User Prof. David Blei (Columbia University).

Tuesday 12 July 2016, 11:00-12:00

arg58's list

A modular architecture for Unicode text compression

User Adam Gleave (University of Cambridge).

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

Tuesday 14 June 2016, 15:00-15:15

Learning Task Relations in Multi-Task Learning

Via Skype

User Yu Zhang (Hong Kong University of Science and Technology).

Tuesday 14 June 2016, 11:00-12:00

Distributed stochastic optimization for deep learning

Via Skype

User Sixin Zhang (NYU).

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

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

Chaining and convexity

User Ramon van Handel (Princeton).

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

Modeling the Dynamics of Online Learning Activity

User Isabel Valera .

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

Developments in Exact Inference in Graphical Models

User Stephen Pasteris (UCL).

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

Approximation strategies for structure learning in Bayesian networks

Note: via Skype!

User Teppo Niinimäki (Helsinki).

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

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

A Bayesian nonparametric approach to testing for dependence between random variables

User Sarah Filippi (Oxford).

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

House William Gates Building - FW26.

Automated Reasoning and AI for Large Formal Mathematics

User Josef Urban.

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

Partially Observable Markov Decision Processes (POMDPs)

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

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

Variational inference for scalable Gaussian process approximations

User Alexander Matthews (University of Cambridge).

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

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

User Maria Lomeli (University of Cambridge).

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

Turing: Rejuvenating Probabilistic Programming in Julia

User Hong Ge (University of Cambridge).

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

Towards Weaker Supervision and Simpler Pipelines in Speech Recognition

User Gabriel Synnaeve.

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

Learning polynomials with Neural Networks

User Aldo Pacchiano (Berkeley).

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

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

Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation

User Ming Yuan (U. of Wisconsin).

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

Sum-Product Networks for Probabilistic Modeling

User Robert Peharz (TU Graz).

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

House MR12 Centre for Mathematical Sciences.

Dimers Day in Cambridge

User Boutiller, Chhita, Dubedat, Laslier, Toninelli.

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

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

Tail index estimation, concentration, adaptation...

User Stéphane Boucheron (Paris Diderot).

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

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

Random warping functions for function/curve registration

User Karthik Bharath (Nottingham).

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

MLE-Struct: Bethe Learning of Graphical Models

User Kui Tang, Columbia University.

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

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

Computational Challenges in Sleeping Combinatorial Experts

User Varun Kanade (Oxford).

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

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

User Maria Lomeli.

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

Topics in Expectation Propagation

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

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

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

The information complexity of sequential resource allocation

User Emilie Kaufmann (INRIA LIlle).

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

Deep Q-Learning and AlphaGo

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

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

inference failures in probabilistic programming

User Tom Minka (Microsoft Research Ltd).

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

Variational Methods and Compressed Sensing

User Nilesh Tripuraneni (University of Cambridge).

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

Inference and Learning in the Anglican Probabilistic Programming System

User Jan-Willem van de Meent (Oxford).

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

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

User Qi Wei (University of Cambridge).

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

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

Signal Recovery from Scattering Convolutional Neural Networks

User Joan Bruna (Berkeley).

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

Unsupervised Risk Estimation with only Structural Assumptions

User Jacob Steinhardt (Stanford University).

Computational Neuroscience

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

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

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

The geometry of uncertainty

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

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

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

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

User Mathias Trabs (CEREMADE, Paris Dauphine).

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

Probabilistic programming

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

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

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

Statistically optimal robust estimation of the precision matrix by convex programming

User Arnak Dalayan (ENSAE).

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

Learning by learning rich generative models

User Thang Bui (University of Cambridge).

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

A more Automated Statistician

User David Janz, Oxford University.

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

Natural gradient descent and variational inference

User Mark van der Wilk; Alex Matthews .

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

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

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

User Rui Castro (Eindhoven).

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

Differentiable Data Structures and (if we have time) POMDPs

NOTE Topic Change

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

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

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

Statistical algorithms and planted satisfiability problems

User Will Perkins (Birmingham).

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

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

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

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

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

Random projection ensemble classification

User Timothy Cannings.

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

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

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

User Clifford Lam (LSE).

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

Deep learning for time series

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

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

Stochastic discrete integration

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

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

General Reinforcement Learning

User Jan Leike (Australian National University).

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

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

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

User Jelena Bradic (UC San Diego).

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

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

Graph-Guided Banding for Covariance Estimation

User Jacob Bien (Cornell University).

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

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

Sparse graphs using exchangeable random measures

User François Caron (Oxford).

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

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

Exact simulation of the Wright-Fisher diffusion

User Paul Jenkins (Warwick).

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

Stochastic optimization and adaptive learning rates

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

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

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

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

User Martin Wainwright (UC Berkeley).

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

Logic, Theorem Proving, and Probabilistic Programming

User Christian Steinruecken (University of Cambridge).