Machine Learning Reading Group @ CUED

Learning curve prediction for AutoML

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.

Andy Lin.

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

Wednesday 04 December 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Learning curve prediction for AutoML

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.

Andy Lin.

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

Wednesday 04 December 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

An Elementary Introduction to Sequential Monte Carlo Samplers

Xianda Sun (University of Cambridge).

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

Wednesday 27 November 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Scalable Sampling Using Annealed Algorithms

Saifuddin Syed (University of Oxford).

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

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

Machine Learning Reading Group @ CUED

Are we making progress in unlearning? 

Eleni Triantafillou (Google DeepMind).

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

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

Machine Learning Reading Group @ CUED

Natural Experiments in NLP and Where to Find Them

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

Pietro Lesci, University of Cambridge.

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

Wednesday 06 November 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Linear Attention for Efficient Transformers

Isaac Reid (University of Cambridge).

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

Wednesday 30 October 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Task Alignment

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.

Vihari Piratla, University of Cambridge.

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

Wednesday 26 June 2024, 11:00-12:30

Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

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

Thursday 13 June 2024, 11:00-12:00

Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

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

Thursday 13 June 2024, 11:00-12:00

Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

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

Thursday 13 June 2024, 11:00-12:00

Machine Learning Reading Group @ CUED

A Light Introduction to Topological Data Analysis

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

Tim Hargreaves, Tor Fjelde, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Mean Field Theory of NNs

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

Adrian Goldwaser, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Discussing the Stanford AI Report

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

Bruno Mlodozeniec, Julien Horwood, Runa Eschenhagen.

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

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

Machine Learning Reading Group @ CUED

Discussing the Stanford AI Report

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

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

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

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

Machine Learning Reading Group @ CUED

AI Control

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

Dmitrii Krasheninnikov, Lauro Langosco, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Neural likelihood-free inference

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

Yanzhi Chen, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

An Introduction to the Conjugate Gradient Method

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

Jihao Andeas Lin, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Matt Ashman and Cristiana Diaconu.

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

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

Machine Learning @ CUED

Consistent Validation for Predictive Methods in Spatial Settings

David Burt, MIT.

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

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

Machine Learning Reading Group @ CUED

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.

James Allingham and Bruno Mlodozeniec .

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

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

Machine Learning Reading Group @ CUED

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.

Andrew McDonald and Kenza Tazi, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Tor Fjelde and Will Tebbutt, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Flow matching, stochastic interpolants and everything in between

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

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

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

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

Machine Learning @ CUED

Modern Bayesian Experimental Design

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

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

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

Machine Learning Reading Group @ CUED

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.

Dr Miri Zilka and Katie Collins, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Greg Flamich, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Dr Pingfan Song, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Prof. Richard Turner and Stratis Markou, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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.

Spencer Frei, UC Davis.

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

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

Machine Learning Reading Group @ CUED

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

Isaac Reid, University of Cambridge.

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

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

Machine Learning @ CUED

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

Jay McClelland, Stanford University .

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

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

Machine Learning @ CUED

Compositional mathematics and automatic gradient descent

Jeremy Bernstein, MIT.

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

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

Machine Learning Reading Group @ CUED

Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks

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

Hanchen Wang, Stanford CS and Genentech gRED.

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

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

Machine Learning Reading Group @ CUED

Schrödinger bridges, diffusion and SDEs

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

Stratis Markou and Shreyas Padhy.

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

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

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

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

Katie Collins, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

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

Katie Collins, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Game theory, distributional reinforcement learning, control and verification

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

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

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

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

Machine Learning Reading Group @ CUED

On choosing the mass matrix for Hamiltonian Monte Carlo

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

Tor Fjelde and Tim Hargreaves, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Reward Modelling

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

Usman Anwar, University of Cambridge.

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

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

Machine Learning @ CUED

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

Sam Power, University of Bristol.

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

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

Machine Learning Reading Group @ CUED

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

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

Miri Zilka, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

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

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

Burigede Liu.

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

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

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

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

Adrian Goldwaser and Lauro Langosco (University of Cambridge) .

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

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

Machine Learning Reading Group @ CUED

No-regret Dynamics for Multi-agent Learning

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

Alexander Terenin (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Scalable Approaches to Self-Supervised Learning using Spectral Analysis

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

Ross Viljoen and Vincent Dutordoir (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Physics-informed machine learning

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

Pingfang Song (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Causal Machine Learning

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

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

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

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

Machine Learning Reading Group @ CUED

User Manipulation in Recommender Systems

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

Micah Carroll (UC Berkeley).

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

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

Machine Learning Reading Group @ CUED

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.

Isaac Reid (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

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.

Ali Shahin Shamsabadi (Alan Turing Institute) and John Bronskill (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

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.

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

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

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

Machine Learning Reading Group @ CUED

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.

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

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

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

Machine Learning Reading Group @ CUED

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

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

Jixiang Qing, SUMO lab, Ghent University,.

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

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

Machine Learning @ CUED

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

Roger Taylor, former Chair of Ofqual.

Cambridge University Engineering Department, Lecture Room 4.

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

Machine Learning Reading Group @ CUED

Scalable simulation and inference in non-Gaussian stochastic PDEs

David Duvenaud (University of Toronto).

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

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

Machine Learning @ CUED

Scalable simulation and inference in non-Gaussian stochastic PDEs

David Duvenaud (University of Toronto).

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

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

Machine Learning @ CUED

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

Vedant Nanda, MPI-SWS + University of Maryland .

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

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

Machine Learning Reading Group @ CUED

Information Geometry — Natural Gradient Descent

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

Andy Lin, MLG.

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

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

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

Felipe Tobar, Universidad de Chile.

CBL Seminar Room.

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

Machine Learning @ CUED

Deep Reinforcement Learning for Multi-Agent Interaction

Stefano Albrecht, Edinburgh.

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

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

Machine Learning Reading Group @ CUED

Predicting generalization of ML models.

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

Vihari Piratla and Shreyas Padhy.

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

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

Machine Learning @ CUED

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

Lachan Thorpe, Hawk-Eye Innovations.

Lecture Theatre 6 (LT6), Department of Engineering.

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

Machine Learning Reading Group @ CUED

A tutorial on diffusion models

Emile, Sasha from CBL.

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

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

Machine Learning Reading Group @ CUED

Benchmarking and evaluation in contemporary machine learning

Austin Tripp and Shoaib Siddiqui, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Advanced artificial agents intervene in the provision of reward

Michael Cohen, University of Oxford.

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

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

Machine Learning Reading Group @ CUED

Theory and Practice of Infinitely Wide Neural Networks - Guest Talk

Roman Novak, Google Brain.

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

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

Machine Learning Reading Group @ CUED

The unreasonable effectiveness of mathematics in large scale deep learning

Greg Yang, Microsoft Research.

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

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

Machine Learning Reading Group @ CUED

The role of meta-learning for few-shot classification

Eleni Triantafillou, Google Brain.

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

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

Machine Learning @ CUED

Noise-Aware Differentially Private Synthetic Data

Antti Honkela, University of Helsinki.

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

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

Machine Learning Reading Group @ CUED

Benefits and Shortcomings of Assistance

Dmitrii Krasheninnikov and Lauro Langosco, University of Cambridge.

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

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

Machine Learning @ CUED

Estimating RSV seasonality from pandemic disruptions: a modelling study

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

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

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

Machine Learning Reading Group @ CUED

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

Speaker to be confirmed.

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

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

Machine Learning Reading Group @ CUED

Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks

Speaker to be confirmed.

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

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

Machine Learning Reading Group @ CUED

Rethinking evaluation for machine learning models

Adrian Goldwaser & Shoaib Siddiqui.

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

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

Machine Learning Reading Group @ CUED

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

Speaker to be confirmed.

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

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

Machine Learning @ CUED

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

Anastasios Angelopoulos, PhD student at UC Berkeley.

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

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

Machine Learning Reading Group @ CUED

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

David Burt, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Bests of ICLR

Speaker to be confirmed.

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

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

Machine Learning @ CUED

Graph neural network approach for decentralized multi-robot coordination

University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Machine Learning with Quantum Computers

Amira Abbas and Maria Schuld.

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

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

Machine Learning Reading Group @ CUED

Autoregressive Diffusion Models

Emiel Hoogeboom.

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

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

Machine Learning Reading Group @ CUED

An Overview of AI Alignment

Neel Alex, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

The Bayesian Learning Rule for Adaptive AI

Emti Khan, RIKEN center for Advanced Intelligence Project.

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

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

Machine Learning Reading Group @ CUED

Introduction to differential privacy

Talay Cheema & Ferenc Huszar (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Retrieval Augmented NLP

Jiri Hron and Nitarshan Rajkumar (University of Cambridge).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Circuits and Interpretability

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

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Optimal Transport Metrics

Shreyas Padhy, University of Cambridge.

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Learned Compression

Gergely Flamich and Stratis Markou (University of Cambridge).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Diffusion and Score-based Generative Models

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

Cambridge University Engineering Department, LR12.

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

Machine Learning Reading Group @ CUED

AI Safety

Neel Alex.

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

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

Machine Learning Reading Group @ CUED

[Cancelled] Best of Neurips

Speaker to be confirmed.

Online-only.

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

Machine Learning Reading Group @ CUED

Energy-Based Models

Stratis Markou and James Allingham (University of Cambridge).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Deep Kernels

Sebastian Ober and Austin Tripp (University of Cambridge).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Mean Field Theory of NN (postponed to March 2022)

Speaker to be confirmed.

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Representation Learning: A Causal Perspective

Yixin Wang.

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

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

Machine Learning Reading Group @ CUED

Ethics, Integrity and Good Practice in ML

Ross Clarke (University of Cambridge).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Implicit Regularization in Deep Learning

Jezabel Garcia, Alberto Bernacchia (MediaTek Research).

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

Planning Meeting + PI Presentations

CBL and Computer Lab PIs.

Cambridge University Engineering Department ,LR3A.

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

Machine Learning Reading Group @ CUED

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

Matej Zecevic, TU Darmstadt.

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

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

Machine Learning Reading Group @ CUED

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

Cristina Savin, New York University.

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

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

Machine Learning Reading Group @ CUED

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

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

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

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

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Finale Doshi-Velez

Finale Doshi-Velez, Harvard University.

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

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

Machine Learning Reading Group @ CUED

Pseudo-Points and State-Space Gaussian Processes

Will Tebbutt (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

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

David Duvenaud, University of Toronto.

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

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

Machine Learning Reading Group @ CUED

The Statistical Finite Element Method

Mark Girolami (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

CBL Alumni Talk - Our Power as Technical Designers

Shakir Mohamed, Deepmind.

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

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

Machine Learning Reading Group @ CUED

Best of ICLR

Speaker to be confirmed.

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

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

Machine Learning Reading Group @ CUED

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

Mark van der Wilk, Imperial College London.

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

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

Machine Learning Reading Group @ CUED

An Introduction to PAC-Bayes

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

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

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

Machine Learning Reading Group @ CUED

Automated Augmented Conjugate Inference for Gaussian Processes

Théo Galy-Fajou (TU Berlin).

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

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

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning

Andrew Gordon Wilson.

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

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

Machine Learning Reading Group @ CUED

Online Learning and Online Convex Optimisation

Siddharth Swaroop (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Monte Carlo Gradient Estimation in Machine Learning

James Allingham (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Secondmind's research activities to make Gaussian Processes industry proof

Nicolas Durrande, Director of Research at Secondmind.

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

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

Machine Learning Reading Group @ CUED

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

Yaniv Yacoby, Harvard University.

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

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

Machine Learning Reading Group @ CUED

Gaussian Processes I have Known

Anthony O'Hagan, University of Sheffield.

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

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

Machine Learning Reading Group @ CUED

Causal Representation Learning

Chaochao Lu, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Long-Range Transformers

Valerii Likhosherstov, University of Cambridge.

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

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

Machine Learning Reading Group @ CUED

Inference in Stochastic Processes

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

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

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

Machine Learning Reading Group @ CUED

Fairness in AI

Elre Oldewage (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Variational Bayes as Surrogate Regression

Will Tebbutt (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Bayesian optimization / Gaussian Process Bandits

Sattar Vakili (MediaTek Research).

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

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

Machine Learning Reading Group @ CUED

Meta-reinforcement learning

Kris Jensen and Calvin Kao (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Best of NeurIPS

Speaker to be confirmed.

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

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

Machine Learning Reading Group @ CUED

Neural Processes

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

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

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

Machine Learning Reading Group @ CUED

Large-scale sequential experimentation

Wessel Bruinsma and Jiri Hron (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Symmetries in Reinforcement Learning

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

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

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

Machine Learning Reading Group @ CUED

Gradient-based Hyperparameter Optimisation

Ross Clarke (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Best Papers from ICML 2020

Reading group participants.

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

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

Machine Learning @ CUED

Efficient and Structured Uncertainty: Challenges and Opportunities

Andrey Malinin, Yandex Research.

Virtual (see abstract for Zoom link).

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

Machine Learning Reading Group @ CUED

Active Learning

Austin Tripp and Erik Daxberger (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Recent advances in the theory and applications of VAEs

Gergely Flamich and Alexandru Cioba.

Venue to be confirmed.

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

Machine Learning Reading Group @ CUED

Best of ICLR 2020

(University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Differentiable Planning

Will Tebbutt, Robert Pinsler.

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

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

Machine Learning Reading Group @ CUED

Recent Developments in Bayesian Deep Learning

Andrew Foong, Siddharth Swaroop.

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

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

Machine Learning Reading Group @ CUED

Strategic Classification

Jiri Hron (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Machine Learning on Sets

(University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Boltzmann Generators and Stochastic Normalizing Flows

Vincent Stimper, Michael Bromberg.

Hangouts Meet (Link provided via e-mail).

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

Machine Learning Reading Group @ CUED

World Models

Dr Gregor Simm (University of Cambridge).

Hangouts Meet (Link provided via e-mail).

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

Machine Learning Reading Group @ CUED

Federated Learning

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

wellman@umich.edu.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Self-Supervised Representation Learning

Javier Antoran (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

Elre Oldewage (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

Adria Garriga Alonso, Sebastian Ober.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Robust Deep Learning Under Distribution Shift

Zack Lipton, CMU.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Scalable Gaussian Processes

David Burt, Andrew Foong.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Probabilistic Programming

Hong Ge and John Bronskill.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Neural Attention

Elre Oldewage, George Hron.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Equivariance and Symmetries in CNNs

James Allingham, Omer Sella.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

William Wilkinson, Aalto University, Finland.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Hyperparameter Optimisation

Ross Clarke, Erik Daxberger, Austin Tripp.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Meta-Learning or "Learning To Learn"

John Bronskill, Marton Havasi.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency

Haitham Ammar, Huawei.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

Vincent Fortuin, ETH Zurich.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Explaining Neural Networks: Post-hoc and Natural Language Explanations

Oana Camburu, University of Oxford.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Hamiltonian Monte Carlo for Hierarchical Models

Vidhi Lalchand.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

Emti Khan, RIKEN center for Advanced Intelligence Project.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

Rajbir Nirwan, Goethe University, Frankfurt.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Two Approximate Sampling Methods for Bayesian Deep Learning

Wesley Maddox (New York University).

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

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

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

Amos Storkey, School of Informatics, University of Edinburgh.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference

Trevor Campbell, University of British Columbia.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition

Konstantinos P. Panousis.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

Reza Babaei.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

Victoria Rege, Scott Griffiths.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Particle MCMC

Will Tebbutt (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Stochastic Differential Equations

David Burt.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees

Umut Şimşekli, Télécom Paristech.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Generalisation in neural networks

Marton Havasi.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

An Overview of Normalizing Flows

Robert Pinsler.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

Abir De, Max Planck Institute for Software Systems.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Global model explainability via aggregation

Umang Bhatt, CMU.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Sampling as Optimization

Eric Nalisnick, University of Cambridge.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Robust machine learning for causal inference in health care

David Sontag, MIT.

Engineering Department, CBL Room BE-438..

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

Computational Neuroscience

The K-FAC method for neural network optimization

James Martens, Google Deep Mind.

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

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

Machine Learning Reading Group @ CUED

Implicit Variational Inference

Andrew Foong (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Continual Learning: Definitions, Benchmarks, and Approaches

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Causal Inference and Causal Reinforcement Learning

Chaochao Lu (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Generative models for few-shot prediction tasks

Marta Garnelo (Google DeepMind).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Online Meta-Learning

Massimiliano Pontil, University College London.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Logical Uncertainty

Adrià Garriga Alonso (University of Cambridge).

Engineering Department, CBL Room 438.

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

Computational Neuroscience

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

Dr. Andrew Saxe, University of Oxford.

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

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

Machine Learning @ CUED

Gauge Equivariant Convolutional Networks on Manifolds

Taco Cohen.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Stein Discrepancy

Sebastian Ober (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

Tom Everitt (DeepMind).

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

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

Machine Learning @ CUED

Fairness for Sequential Decision Making Algorithms

Hoda Heidari.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Gaussian processes for inferring latent functions in complex data models

Martin Tegner.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Neural Ordinary Differential Equations

Eric T Nalisnick (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Natural gradient in deep neural networks

Alberto Bernacchia (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Graph Neural Networks

Matej Balog (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Defending Against Adversarial Attacks

Ross Clarke (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Reinforcement Learning and Control as Probabilistic Inference

Robert Pinsler, Calvin Kao.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

Mihaela van der Schaar .

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Interpretability - the myth, questions, and some answers

Been Kim, Google Brain.

Engineering Department, Board Room on the 2nd Floor.

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

Machine Learning @ CUED

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

Biwei Huang, CMU.

dyson teaching room (TBC).

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

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

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

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Variance in Policy Gradient methods and Learning Sequential Latent Variable Models

George Tucker, Google Brain.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Structured deep models: Deep learning on graphs and beyond

Thomas Kipf (Uni of Amsterdam).

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Prof. Michael Kearns (University of Pennsylvania).

Cambridge University Engineering Department, Lecture Room 4.

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

Machine Learning @ CUED

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

Julius von Kugelgen.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

A Bayesian Perspective on Generalization and SGD

Dr. Samuel L. Smith, Google Brain.

Cambridge University Engineering Department, Lecture Room 11.

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Neural Networks and Natural Language Processing

Matej Balog (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

John P. Cunningham.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Information Theory, Codes, and Compression

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Lipschitz Global Optimization

Professor Yaroslav D Sergeyev, Universita della Calabria.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Statistical Learning Theory

Maria Lomeli.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Deep Generative Models

Jonathan Gordon; Alexander Matthews.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Minimum Description Length

Carl E. Rasmussen; Niki Kilbertus.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Machine Learning for Sounds

Akisato Kimura.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

NIPS 2017 Highlights

Speaker to be confirmed.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning @ CUED

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

Manfred Opper, TU Berlin.

Engineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

Professor Andrew Wilson, Cornell University.

CBL Seminar Room.

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

Machine Learning @ CUED

AI for Inclusive Finance

Alan Qi and Le Song.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Hardware Efficient Machine Learning

Robert Peharz; Marton Havasi.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning @ CUED

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

Geoff Roeder (University of Toronto).

CBL Seminar Room.

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

Machine Learning @ CUED

Learning to Learn without Gradient Descent by Gradient Descent

Yutian Chen, DeepMind.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Learning to Learn

Siddharth Swaroop; Will Tebbutt.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning @ CUED

Towards true end-to-end learning & optimization

Dr Frank Hutter.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

WGAN and Optimal Transport

Mark Rowland; Wenbo Gong.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Interpretability in Machine Learning

Adrian Weller; Tameem Adel Hesham.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Deep Structured Prediction for Handwriting Recognition

Juan Murillo Fuentes.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning @ CUED

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

Joshua Kroll.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Cooperative Inverse RL

Robert Pinsler; Adria Garriga Alonso.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Infer.NET

John F. Bronskill.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning @ CUED

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

Prof. Aapo Hyvarinen.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Transfer Learning for NLP

Sebastian Ruder, INSIGHT Centre.

JDB Seminar Room, CUED.

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

Machine Learning @ CUED

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

Dr Cheng Zhang.

CBL Seminar Room.

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

Machine Learning @ CUED

Unbiased Estimation of the Eigenvalues of Large Implicit Matrices

Professor Ryan Adams, Princeton.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

The Grammar Variational Autoencoder & Counterfactual Fairness

Dr Matt Kusner.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Accelerating computation of SVM and DNN by binary approximation

Hironobu Fujiyoshi (Chubu University) .

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

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

Mariko Isogawa (NTT Media Intelligence Laboratories) .

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Deep learning for autonomous driving

Takayoshi Yamashita (Chubu University) .

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Understanding Black-box Predictions via Influence Functions

Pang Wei Koh, Stanford University.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

A simple neural network module for relational reasoning

David Barrett, DeepMind.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

On Different Distances Between Distributions and Generative Adversarial Networks

Martin Arjovsky.

JDB Seminar Room, CUED.

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

Machine Learning Study Group

Deep Learning Book - Meeting 9 - Representation Learning

Group Discussion.

CBL Room BE-438.

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

Machine Learning Study Group

Deep Learning Book - Meeting 8 - Autoencoders

Group Discussion.

CBL Room BE-438.

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

Machine Learning Study Group

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

Group Discussion.

CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

Jiri Hron; Adam Scibior.

Engineering Department, CBL Room 438.

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

Information Engineering Division seminar list

Bayesian Optimization for Probabilistic Programs

Tom Rainforth, University of Oxford.

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

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

Machine Learning Study Group

Deep Learning Book - Meeting 6 - Recurrent Neural Networks

Group Discussion.

CBL Room BE-438.

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

Machine Learning @ CUED

Differentially Private Bayesian Learning

Dr Antti Honkela, University of Helsinki.

CBL Room BE-438, Department of Engineering.

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

Computational and Biological Learning Seminar Series

Control, inference and learning

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

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Differential Privacy

John Bradshaw; Alex Matthews.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Differential Privacy Tutorial

Alex Matthews and John Bradshaw, University of Cambridge.

CBL Room BE-438, Department of Engineering.

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

Machine Learning Study Group

Deep Learning Book - Meeting 5 - ResNets and DenseNets

Group Discussion.

CBL Room BE-438.

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

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell, UC Berkeley.

CBL Room BE-438, Department of Engineering.

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

Machine Learning Study Group

Deep Learning Book - Meeting 4 - Convolutional Networks

Group Discussion.

CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Probabilistic Numerics

Alessandro Davide Ialongo (MLG - University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

Group Discussion.

CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian optimisation in many dimensions with bespoke probabilistic programs

Valentin Dalibart.

CBL Room BE-438, Department of Engineering.

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

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

Group Discussion.

CBL Room BE-438.

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

Machine Learning Study Group

Deep Learning Book - Meeting 1 - Deep Feedforward NNs

Group Discussion.

CBL Room BE-438.

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

Machine Learning @ CUED

Variational Bayes In Private Settings

Mijung Park, University of Amsterdam.

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Julia: Introduction and new developments

Dr Simon Byrne (Julia Computing).

CBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

NIPS 2016 papers in 5mins

MLG members.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Bayesian optimality and frequentist extended admissibility are equivalent in saturated models

Daniel Roy (University of Toronto).

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

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

Elena Corina Grigore (Yale University).

CBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Variational autoencoders with latent graphical models

Prof David Duvenaud (University of Toronto).

CBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

Symmetry in Statistical Models

Mark Rowland; Maria Lomeli.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Learning with limited supervision

Stefano Ermon, Stanford.

CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Bayesian Optimization

Pawel Budzianowiski; Brian Trippe.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

Krzysztof Choromanski, Google NY.

CBL Room BE-438.

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

Machine Learning @ CUED

Rejection Sampling Variational Inference

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

CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

deep generative models

Dave Janz; James Requeima.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

Prof. Mark Girolami (University of Warwick).

CBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

Sketching methods

John Bradshaw.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

Note venue: James Dyson Building

Prof. Jeff Clune (U Wyoming).

Dyson Meeting Room on the Ground Floor.

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

Machine Learning Reading Group @ CUED

A crash-course on Bayesian Reinforcement Learning

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

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

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

CBL Room BE-438.

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

Machine Learning @ CUED

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

Dushyant Rao, Oxford Robotics Institute.

CBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic modeling for position and orientation estimation using inertial sensors

Manon Kok, Department of Electrical Engineering, Linköping University.

CBL Room BE-438.

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

Machine Learning @ CUED

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

Professor Francis Bach (INRIA, ENS).

CBL Room BE-438.

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

Machine Learning @ CUED

Multiresolution Matrix Factorization

Prof Risi Kondor (U Chicago).

CBL Room BE-438.

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

Machine Learning @ CUED

Dynamic Models for Health Data

Professor Katherine A Heller (Duke University).

CBL Room BE-438.

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

Machine Learning @ CUED

Learning with Memory Embeddings

Professor Volker Tresp (Ludwig Maximilian University of Munich).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Johan Schoukens, Vrije Universiteit Brussel.

CBL Room BE-438.

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

Machine Learning @ CUED

Inference as Learning

George Papamakarios (University of Edinburgh).

CBL Room BE-438.

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

Machine Learning @ CUED

Interpretable and interactive machine learning

Dr Been Kim.

CBL Room BE-438.

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

Machine Learning @ CUED

Discriminative Embeddings of Latent Variable Models for Structured Data

Prof Le Song (Georgia Tech).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology

Professor Mike West (Statistical Science, Duke University).

James Dyson Building Meeting Room on the Ground Floor.

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

Machine Learning @ CUED

Scaling and Generalizing Approximate Bayesian Inference

Prof. David Blei (Columbia University).

James Dyson Building Meeting Room on the Ground Floor.

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

arg58's list

A modular architecture for Unicode text compression

Adam Gleave (University of Cambridge).

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

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

Machine Learning @ CUED

Learning Task Relations in Multi-Task Learning

Via Skype

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

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Distributed stochastic optimization for deep learning

Via Skype

Sixin Zhang (NYU).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Modeling the Dynamics of Online Learning Activity

Isabel Valera .

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Developments in Exact Inference in Graphical Models

Stephen Pasteris (UCL).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Approximation strategies for structure learning in Bayesian networks

Note: via Skype!

Teppo Niinimäki (Helsinki).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Automated Reasoning and AI for Large Formal Mathematics

Josef Urban.

William Gates Building - FW26.

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

Machine Learning Reading Group @ CUED

Partially Observable Markov Decision Processes (POMDPs)

Rowan McAllister (University of Cambridge), Alex Navarro.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

Alexander Matthews (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Maria Lomeli (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Turing: Rejuvenating Probabilistic Programming in Julia

Hong Ge (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Towards Weaker Supervision and Simpler Pipelines in Speech Recognition

Gabriel Synnaeve.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Learning polynomials with Neural Networks

Aldo Pacchiano (Berkeley).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Sum-Product Networks for Probabilistic Modeling

Robert Peharz (TU Graz).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

MLE-Struct: Bethe Learning of Graphical Models

Kui Tang, Columbia University.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

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

Maria Lomeli.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Topics in Expectation Propagation

Yingzhen Li (University of Cambridge), Rich Turner.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Deep Q-Learning and AlphaGo

Shixiang Gu (University of Cambridge); Amar Shah.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

inference failures in probabilistic programming

Tom Minka (Microsoft Research Ltd).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Variational Methods and Compressed Sensing

Nilesh Tripuraneni (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Inference and Learning in the Anglican Probabilistic Programming System

Jan-Willem van de Meent (Oxford).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

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

Qi Wei (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

Jacob Steinhardt (Stanford University).

Engineering Department, CBL Room BE-438.

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

Computational Neuroscience

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

Tom Dean, Google Research.

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

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

Machine Learning @ CUED

The geometry of uncertainty

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

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

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

Machine Learning Reading Group @ CUED

Probabilistic programming

Hong Ge (University of Cambridge); Matej Balog.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Learning by learning rich generative models

Thang Bui (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

A more Automated Statistician

David Janz, Oxford University.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Natural gradient descent and variational inference

Mark van der Wilk; Alex Matthews .

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Differentiable Data Structures and (if we have time) POMDPs

NOTE Topic Change

Yarin Gal; Rowan McAllister (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Random projection ensemble classification

Timothy Cannings.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Deep learning for time series

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

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Stochastic discrete integration

Adrian Weller;Nilesh Tripuraneni (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

General Reinforcement Learning

Jan Leike (Australian National University).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Stochastic optimization and adaptive learning rates

Yingzhen Li (University of Cambridge); Mark Rowland.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Logic, Theorem Proving, and Probabilistic Programming

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Connections between kernels, GPs, and NNs

Matthias Bauer (University of Cambridge); Paul Rubenstein.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

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

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Detecting paraphrases using recursive autoencoders

Feynman Liang.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Bayesian optimization and its applications

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

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

LP relaxations for MAP inference

Adrian Weller (University of Cambridge).

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Meta-Bayesian Analysis

Prof. Daniel Roy (University of Toronto).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Diederik P. Kingma (University of Amsterdam).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Francesco Paolo Casale, European Bioinformatics Institute.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Harmonic Exponential Families and Group-Equivariant Convolution Networks

Taco Cohen (University of Amsterdam).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

Koh Takeuchi (NTT Communication Science Laboratories).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

A-Star Sampling Review

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Convex Factorization Machines

Mathieu Blondel (NTT Communication Science Laboratorie).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

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

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Jason Yosinski (Cornell).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

Pedro A. Ortega (University of Pennsylvania).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

Dr Adrian Weller (MLG, University of Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

Dr Andrew Wilson, Carnegie Mellon University.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

(via Skype!)

Alex Shestopaloff (University of Toronto).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Gradient-based hyperparameter optimization through reversible learning

Dr David Duvenaud (Harvard).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Rich Component Analysis

James Zou (Microsoft Research New England).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

Maria Lomeli-Garcia, UCL.

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

Prof Bernhard Schölkopf (MPI Tuebingen).

Engineering Department, CBL Room BE-438.

Friday 03 July 2015, 12:30-13:00

Machine Learning @ CUED

Extreme Classification: A New Paradigm for Ranking & Recommendation

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Thursday 02 July 2015, 11:00-12:00

Machine Learning @ CUED

Convex and non-convex worlds in machine learning

Anna Choromanska (New York University).

Engineering Department, CBL Room BE-438.

Wednesday 01 July 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof Alexander Smola, Carnegie Mellon University.

Cambridge University Engineering Department, LT1.

Tuesday 30 June 2015, 11:00-12:00

Machine Learning @ CUED

Explaining Non-Linear Classifier Decisions with application to Deep Learning

Prof Klaus-Robert Müller (TU Berlin).

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 15:00-16:00

Machine Learning @ CUED

Deep Gaussian processes and variational propagation of uncertainty

Andreas Damianou - Sheffield University.

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 11:00-12:00

Machine Learning @ CUED

Deep Learning

Professor Geoffrey Hinton FRS (U. Toronto and Google).

Cambridge University Engineering Department, Lecture Theatre 0.

Thursday 25 June 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof. Alex Smola (CMU).

Cambridge University Engineering Department, LT1.

Wednesday 24 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Thursday 18 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Tuesday 16 June 2015, 11:00-12:00

Machine Learning @ CUED

Structural Markov laws / Geometry and HMC

Dr Simon Byrne.

Engineering Department, CBL Room BE-438.

Tuesday 09 June 2015, 11:00-12:00

Machine Learning @ CUED

Mean Field Approaches to Two Sequential Decision Making Problems.

This talk will be given via Skype

Ramki Gummadi.

Engineering Department, CBL Room BE-438 - Skype.

Monday 08 June 2015, 17:00-18:00

Machine Learning @ CUED

Do Deep Nets Really Need to be Deep?

Dr Rich Caruana (Microsoft).

Engineering Department, CBL Room BE-438.

Tuesday 02 June 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Convolutional Neural Networks

Christof Angermueller, Alex Kendall.

Engineering Department, CBL Room 438.

Thursday 21 May 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Hessian-free Optimisation for Neural Networks

Adnan Haider, Andrey Malinin.

Engineering Department, CBL Room 438.

Thursday 14 May 2015, 15:00-16:30

Machine Learning @ CUED

Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down

Michael Osborne (Oxford University).

Engineering Department, LR5 (Baker Building, Trumpington Street).

Tuesday 12 May 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Scalable MCMC

Hong Ge, Jes Frellsen.

Engineering Department, CBL Room 438.

Thursday 07 May 2015, 15:00-16:30

Machine Learning @ CUED

Direction-Only Optimisation for Neural Networks

Short talk

Mark Rowland (Cambridge).

Engineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

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

Cambridge University Engineering Department, Lecture Room 5.

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

Machine Learning Reading Group @ CUED

Causal Inference

Mateo Rojas-Carulla, Amar Shah.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Title to be confirmed

Tuan Anh Le (Oxford).

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Gaussian Process Models for Time Series

Roger Frigola, Carl Edward Rasmussen.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference

Alexis Boukouvalas (Aston University).

Engineering Department, CBL Room BE-438.

Wednesday 15 April 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Informational Geometry

Nilesh Tripuraneni, Shane Gu.

Engineering Department, CBL Room 438.

Thursday 02 April 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Deep Gaussian Processes

Richard Turner, Alex Navarro, Thang Bui.

Engineering Department, CBL Room 438.

Thursday 26 March 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Combinatorial Stochastic Processes in Bayesian Nonparametrics

Creighton Heaukulani.

Engineering Department, CBL Room 438.

Thursday 19 March 2015, 15:00-16:30

Machine Learning @ CUED

Evolutionary dynamics in a continuous public goods game

Matthias Bauer .

Engineering Department, CBL Room BE-438.

Thursday 19 March 2015, 11:00-12:00

Machine Learning @ CUED

An introduction to the Mondrian Process

Matej Balog (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 12 March 2015, 11:00-12:00

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

Genevera I. Allen (Rice University).

Engineering Department, CBL Room BE-438.

Wednesday 04 March 2015, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Workshop: Machine Learning in Cambridge 2015

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Sebastian Nowozin, Microsoft Research Cambridge.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 03 March 2015, 09:00-18:00

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

Dan Stowell (Queen Mary University of London).

Engineering Department, CBL Room BE-438.

Monday 02 March 2015, 11:00-12:00

Machine Learning @ CUED

A* Sampling

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438..

Tuesday 24 February 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo

Matt Hoffman; Yutian Chen.

Engineering Department, CBL Room 438.

Thursday 12 February 2015, 15:00-16:30

Machine Learning @ CUED

Orthologous networks in biological systems

Dr Christopher Penfold (Warwick).

Engineering Department, CBL Room BE-438..

Wednesday 11 February 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Transfer Learning

Yingzhen Li; Eddy Pei-Hao Su.

Engineering Department, CBL Room 438.

Thursday 29 January 2015, 15:00-16:30

Machine Learning @ CUED

Latent Branching Trees

Dr Theodore Kypraios (University of Nottingham).

Engineering Department, CBL Room BE-438..

Thursday 29 January 2015, 12:00-13:00

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

Prof. Wray Buntine (Monash University).

Engineering Department, CBL Room BE-438..

Friday 23 January 2015, 11:00-12:00

Machine Learning Reading Group @ CUED

Advanced HMC

Nilesh Tripuraneni; Adam Scibior.

Engineering Department, CBL Room 438.

Thursday 22 January 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Active Learning

Adrian Weller; Mateo Rojas Carulla.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models

Prof. Steven MacEachern (Ohio State University).

Engineering Department, CBL Room BE-438..

Monday 15 December 2014, 10:00-11:00

Machine Learning Reading Group @ CUED

Deep Probabilistic Models (Wake/Sleep)

Yan Wu; David Barrett.

Engineering Department, CBL Room 438.

Thursday 04 December 2014, 15:00-16:30

Machine Learning @ CUED

Machine Translation with LSTMs

Room changed to LR3B in Inglis building and time changed to 10:30

Ilya Sutskever (Google).

Engineering Department, LR3B.

Friday 28 November 2014, 10:30-11:30

Machine Learning Reading Group @ CUED

PAC Bayes

Alex Matthews; Nikola Mrksic.

Engineering Department, CBL Room 438.

Thursday 27 November 2014, 15:00-16:30

Machine Learning @ CUED

Oracle Variational Inference

James McInerney (Columbia University).

Engineering Department, CBL Room BE-438..

Wednesday 26 November 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

LSTM and Recurrent Neural Networks

Shixiang Gu; Andrey Malinin.

Engineering Department, CBL Room 438.

Thursday 20 November 2014, 15:00-16:30

Machine Learning @ CUED

Bayesian modeling for high-level real nursing activity recognition using accelerometers

short talk

Prof. Naonori Ueda (Director Machine Learning and Data Science, NTT Labs).

Engineering Department, CBL Room BE-438..

Friday 14 November 2014, 11:00-11:30

Machine Learning Reading Group @ CUED

Automatic Differentiation with Theano

Yarin Gal; Christof Angermueller.

Engineering Department, CBL Room 438.

Thursday 13 November 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

State Space Abstraction for Reinforcement Learning

Rowan McAllister; Thang Bui.

Engineering Department, CBL Room 438.

Thursday 06 November 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Kernel Embedding for Distributions

Mark van der Wilk; Felipe Tobar.

Engineering Department, CBL Room 438.

Thursday 30 October 2014, 15:00-16:30

Machine Learning @ CUED

A Tutorial on Probabilistic Programming

Prof. Frank Wood (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 23 October 2014, 14:00-17:00

CUED Control Group Seminars

Optimal control and optimal sampling: A statistical physics perspective.

Bert Kappen, Radboud University Nijmegen, and UCL London.

Cambridge University Engineering Department, LR12.

Tuesday 21 October 2014, 14:30-15:30

Machine Learning @ CUED

New Methods in Bayesian Optimization for Machine Learning

Jasper Snoek (Harvard University).

Engineering Department, CBL Room BE-438.

Thursday 25 September 2014, 11:00-12:00

Machine Learning @ CUED

A marginal sampler for σ-Stable Poisson-Kingman mixture models

Maria Lomeli-Garcia (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438..

Wednesday 24 September 2014, 11:00-12:00

Machine Learning @ CUED

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Wednesday 17 September 2014, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Manik Varma (Microsoft Research India).

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 15 September 2014, 11:00-12:00

Machine Learning @ CUED

Unsupervised Many-to-many Object Matching

Dr Tomoharu Iwata (NTT).

Engineering Department, CBL Room BE-438.

Friday 12 September 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic Numerics - a snapshot of an emerging community

Philipp Hennig (Max Planck Institute for Intelligent Systems, Tübingen).

Engineering Department, CBL Room BE-438.

Thursday 11 September 2014, 11:00-12:00

Machine Learning @ CUED

On the Bethe approximation

Adrian Weller (Columbia University).

Engineering Department, CBL Room BE-438..

Monday 11 August 2014, 11:00-12:00

Machine Learning @ CUED

Gaussian process regression on graphs

Peter Sollich (King's College London).

Engineering Department, CBL Room BE-438..

Wednesday 16 July 2014, 11:00-12:00

Machine Learning @ CUED

Implicit Representation Networks

David Barber (University College London).

Engineering Department, CBL Room BE-438..

Wednesday 02 July 2014, 11:00-12:00

Machine Learning @ CUED

Scalable Deep Gaussian Processes

James Hensman (University of Sheffield).

Engineering Department, CBL Room BE-438..

Tuesday 01 July 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

Unsupervised Representation Learning

Amar Shah (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 12 June 2014, 15:00-16:30

Machine Learning @ CUED

Active Learning of Linear Embeddings for Gaussian Processes

Roman Garnett, University of Bonn.

Engineering Department, CBL Room BE-438..

Tuesday 10 June 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty

Professor Stuart Russell (UC Berkeley).

Engineering Department, CBL Room BE-438..

Tuesday 03 June 2014, 11:00-12:00

Machine Learning @ CUED

Unifying logic and probability: A "New Dawn" for Artificial Intelligence?

NOTE THE SPECIAL VENUE (Microsoft Research)

Professor Stuart Russell (UC Berkeley).

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 02 June 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

​​Time-varying dynamic Bayesian network reconstruction with information sharing​

Frank Dondelinger .

Engineering Department, CBL Room 438.

Thursday 29 May 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Advanced Gaussian Process approximation methods

Dr. Richard Turner, Thang Bui.

Engineering Department, CBL Room 438.

Thursday 22 May 2014, 15:00-16:30

Machine Learning @ CUED

Practical Machine Learning at Facebook. Examples and Lessons Learnt.

Room changed to LR4

Joaquin Quinonero Candela (Facebook).

Engineering Department - ***LR4***.

Tuesday 20 May 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling

short talk (30 mins) - NOTE TIME CHANGE

Andrea Cremaschi (Kent).

Engineering Department, CBL Room BE-438.

Friday 16 May 2014, 10:30-11:30

Machine Learning Reading Group @ CUED

Statistical model criticism

James Lloyd (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 15 May 2014, 15:00-16:30

Machine Learning Seminar Series @ CUED

Density Estimation in Infinite Dimensional Exponential Families

This talk has been canceled/deleted

Bharath Sriperumbudur (University of Cambridge).

Engineering Department, CBL Room BE-438..

Wednesday 14 May 2014, 11:00-12:00

Machine Learning @ CUED

Density Estimation in Infinite Dimensional Exponential Families

Bharath Sriperumbudur (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 14 May 2014, 11:00-12:30

Machine Learning @ CUED

Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions

Prof. Lancelot James (HKUST).

Engineering Department, CBL Room BE-438.

Thursday 08 May 2014, 11:00-12:30

Machine Learning Reading Group @ CUED

Functional Programming

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 01 May 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

The Bernoulli Factory problem and some connections with Computable Analysis

Dr Daniel Roy (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 24 April 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Neural Network Language Modelling

Chunyang Wu (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 10 April 2014, 15:00-16:30

Machine Learning @ CUED

Probabilistic computing applications: BayesDB and stochastic digital circuits

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Friday 04 April 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

Loopy belief propagation

Alexander Matthews (University of Cambridge), Yingzhen Li.

Engineering Department, CBL Room 438.

Thursday 03 April 2014, 15:00-16:30

Machine Learning @ CUED

Probabilistic computing for Bayesian inference

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 13:30-14:30

Machine Learning @ CUED

Machine Learning and Order Book Dynamics

Tristan Fletcher .

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 11:00-12:00

Machine Learning @ CUED

Policy Evaluation with Temporal Differences

Christoph Dann (Technische Universität Darmstadt).

Engineering Department, CBL Room BE-438.

Friday 28 March 2014, 11:00-12:00

Machine Learning @ CUED

Matrix Means, Distances, Kernels, and Geometric Optimization

Suvrit Sra (Max-Planck Institute for Intelligent Systems and CMU).

Engineering Department, CBL Room BE-438.

Monday 17 March 2014, 11:30-12:30

Statistics

Alpha-Stable Poisson-Kingman Processes: Some Applications and Methodologies

Yee Whye Teh, University of Oxford.

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

Friday 14 March 2014, 16:00-17:00

Machine Learning @ CUED

Learning to Learn for Structured Sparsity

Nino Shervashidze (INRIA).

Engineering Department, CBL Room BE-438.

Tuesday 11 March 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian nonparametric dynamic-clustering and genetic imputation

Lloyd Elliott (Gatsby Unit, UCL / Oxford).

Engineering Department, CBL Room BE-438.

Tuesday 04 March 2014, 11:00-12:00

Machine Learning @ CUED

Parameter estimation in deep learning architectures: Two new insights.

Note: time is 12 noon (*not* 11am)

Prof. Nando de Freitas (Oxford).

Cambridge University Engineering Department, LR6.

Friday 28 February 2014, 12:00-13:00

Machine Learning @ CUED

Bayesian canonical correlation analysis

Seppo Virtanen (Aalto University).

Engineering Department, CBL Room BE-438.

Friday 28 February 2014, 11:00-12:00

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

Speaker to be confirmed.

Engineering Department, CBL Room BE-438.

Tuesday 25 February 2014, 09:00-16:00

Machine Learning @ CUED

Generative probabilistic programming: applications and new ideas

Yura Perov (Oxford).

Engineering Department, CBL Room BE-438.

Monday 24 February 2014, 11:00-12:00

Machine Learning @ CUED

Particle filters and curse of dimensionality

Note: TALK via Skype!

Patrick Rebeschini (Princeton).

Engineering Department, CBL Room BE-438.

Friday 21 February 2014, 14:00-15:00

Machine Learning @ CUED

Bayesian nonparametrics: Dependency and Constraint Modeling

Note: TALK via Skype!

Changyou Chen (ANU).

Engineering Department, CBL Room BE-438.

Thursday 20 February 2014, 10:00-11:00

Machine Learning @ CUED

Bayesian Nonparametric Model for Power Disaggregation

Isabel Valera (University Carlos III in Madrid).

Engineering Department, CBL Room BE-438.

Monday 17 February 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic machine learning for knowledge extraction from videos and text

Note venue: LR6

Kevin Murphy (Google).

Cambridge University Engineering Department, LR6.

Wednesday 12 February 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

An introduction to Sequential Monte Carlo

Thang Bui (University of Cambridge), Jes Frellsen.

Engineering Department, CBL Room 438.

Thursday 06 February 2014, 15:00-16:30

Machine Learning @ CUED

Frequentist coverage of adaptive nonparametric Bayesian credible sets

Botond Szabo (Eindhoven University of Technology).

Engineering Department, CBL Room BE-438.

Monday 03 February 2014, 11:00-12:00

Machine Learning Reading Group @ CUED

Probabilistic Data Structures and Algorithms

Christian Steinruecken (University of Cambridge), Alexandre Khae Wu Navarro (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 23 January 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Information Theory and Method of Types: Channels, Quantizers, and Divergences

Antonio Artés-Rodríguez (University of Cambridge), Yingzhen Li.

Engineering Department, CBL Room 438.

Thursday 16 January 2014, 15:00-16:30

Machine Learning @ CUED

Anglican; Particle MCMC inference for Probabilistic Programs

Jan-Willem van de Meent (Columbia University).

Engineering Department, CBL Room BE-438.

Wednesday 15 January 2014, 11:00-12:00

Machine Learning @ CUED

Sparse discriminative latent characteristics for predicting cancer drug sensitivity

David Knowles (Stanford University).

Engineering Department, CBL Room BE-438.

Friday 10 January 2014, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Bayesian Machine Learning for Controlling Autonomous Systems

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Marc Deisenroth, Imperial College.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 17 December 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Integrated Nested Laplace Approximation (INLA)

Sara Wade (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 28 November 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Spectral Learning

Maxim Rabinovich, Aman Sinha.

Engineering Department, CBL Room 438.

Thursday 14 November 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Random Projections

David Lopez-Paz, David Duvenaud.

Engineering Department, CBL Room 438.

Thursday 07 November 2013, 15:00-16:30

Machine Learning @ CUED

Contrastive Learning Using Spectral Methods

James Zou (Harvard).

Engineering Department, CBL Room BE-438.

Wednesday 06 November 2013, 13:30-14:30

Machine Learning Reading Group @ CUED

Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models

Yutian Chen (University of California at Irvine).

Engineering Department, CBL Room 438.

Thursday 31 October 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Bayesian and Bandit Optimization

Dr. Matthew Hoffman (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 24 October 2013, 15:00-16:30

Machine Learning @ CUED

Nonparametric Bayesian statistics with exchangeable random structures

Daniel Roy.

Engineering Department, CBL Room BE-438.

Friday 11 October 2013, 12:00-15:00

Machine Learning @ CUED

Dissecting genotype to phenotype relationships

Oliver Stegle (EMBL-European Bioinformatics Institute).

Engineering Department, CBL Room BE-438.

Thursday 10 October 2013, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Compositionality in Vision and Language

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Siddharth Narayanaswamy, Purdue University.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 07 October 2013, 14:00-15:00

Machine Learning @ CUED

CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

CANCELLED

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Friday 27 September 2013, 11:00-12:00

Machine Learning @ CUED

Clustering Based on Predictive Variances in Gaussian Process Regression Models

Dr Hyun-Chul Kim .

Engineering Department, CBL Room BE-438.

Friday 13 September 2013, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Foundations of Neuromechanical Systems Biology: Combining engineering, biology, and mathematics to understand how we move

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Dr Andrew Spence, The Royal Veterinary College.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Friday 06 September 2013, 10:00-11:00

Microsoft Research Machine Learning and Perception Seminars

Strategies for General Recognition

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Derek Hoiem, University of Illinois at Urbana-Champaign.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 20 August 2013, 13:30-14:30

Microsoft Research Machine Learning and Perception Seminars

The cost of principles

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Abigail See , Research Intern, Microsoft Research Cambridge ,UK.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Wednesday 14 August 2013, 14:00-15:00

Machine Learning @ CUED

Non-Parametric Conditional Random Fields in Computer Vision and Image Processing

Jeremy Jancsary (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 08 August 2013, 11:00-12:00

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

Hannah Pauline Keiler (Columbia University and DIMACS).

Engineering Department, CBL Room BE-438.

Tuesday 06 August 2013, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Lifts of Convex Sets and Cone Factorizations

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Rekha R. Thomas, University of Washington, Seattle.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Friday 02 August 2013, 15:00-16:00

Machine Learning @ CUED

Annealing Between Distributions by Averaging Moments

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

Friday 02 August 2013, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Efficient Multi-dimensional Parametric Mincuts for Constrained MAP Inference

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Kyomin Jung, KAIST.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Friday 02 August 2013, 11:00-12:00

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

Richard Socher - Stanford University.

FW26, Computer Laboratory.

Wednesday 31 July 2013, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Noise estimation by PDE-constrained optimisation

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Schönlieb Carola-Bibiane, Cambridge University.

Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 16 July 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Random Forests: One tool for all your problems.

Novi Quadrianto (University of Cambridge); Neil Houlsby (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 04 July 2013, 15:00-16:30

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Modelling Nonlinear Dynamical Systems

Yue Wu (University of Cambridge) and Andrew McHutchon (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 06 June 2013, 15:00-16:30

Machine Learning @ CUED

The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process

Creighton Heaukulani (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 06 June 2013, 13:00-13:30

Machine Learning Reading Group @ CUED

Adaptive Hamiltonian-based MCMC samplers

Shakir Mohamed .

Engineering Department, CBL Room 438.

Thursday 23 May 2013, 15:00-16:30

jg691's list

Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper

Dr David J Harper .

LR12, Baker Building, Department of Engineering (Trumpington Street, Cambridge CB2 1PZ).

Wednesday 22 May 2013, 10:20-11:20

Machine Learning Reading Group @ CUED

Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets

Yarin Gal (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 16 May 2013, 15:00-16:30

Machine Learning @ CUED

Matrix Concentration Inequalities via the Method of Exchangeable Pairs

Professor Michael I Jordan (UC Berkeley).

Cambridge University Engineering Department, Lecture Room 1.

Thursday 09 May 2013, 16:00-17:00

Machine Learning @ CUED

Deep Gaussian Processes

Prof. Neil Lawrence (Sheffield).

Engineering Department, CBL Room BE-438.

Wednesday 01 May 2013, 15:00-16:00

Microsoft Research Machine Learning and Perception Seminars

Building Better Questionnaires with Probabilistic Modelling

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Ricardo Silva, UCL.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 30 April 2013, 14:00-15:00

Machine Learning @ CUED

Approaches to statistical modeling of network data

Maxim Nazarov (Bocconi University).

Engineering Department, CBL Room BE-438.

Tuesday 30 April 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Sparsity: Beyond L1

Amar Shah (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 18 April 2013, 15:00-16:30

Machine Learning @ CUED

Bayesian nonparametric methods for non-exchangeable data

Nick Foti (Dartmouth College).

Engineering Department, CBL Room BE-438.

Monday 15 April 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Reproducing Kernel Hilbert Spaces in Non-parametric Statistics

Bharath Sriperumbudur (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 11 April 2013, 15:00-16:30

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

Will Allen (University of Cambridge and MRC-LMB).

Engineering Department, CBL Room BE-438.

Monday 08 April 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

An Introduction to Sum Product Networks

José Miguel Hernández Lobato (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 28 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Austerity in MCM - Land : Cutting the computational Budget

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Max Welling, University of Amsterdam.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Wednesday 27 March 2013, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Fast Variational Inference in the Conjugate Exponential Family

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

James Hensman, University of Sheffield.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 26 March 2013, 14:00-15:00

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

James Hensman, The Sheffield Institute for Translational Neuroscience.

Engineering Department, CBL Room BE-438.

Monday 25 March 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Bayesian Reinforcement Learning

Rowan McAllister & Karolina Dziugaite.

Engineering Department, CBL Room 438.

Thursday 21 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Semantics\sqcap Scalability\models\bot? Are Semantics and Scalability Incompatible?

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Ian Horrocks, University of Oxford.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 19 March 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Probabilistic Programming

James Lloyd (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 14 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Warped Mixture Models for Meaningful Clustering and Bayesian Manifold Learning

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

David Duvenaud, University of Cambridge.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 11 March 2013, 14:00-15:00

Machine Learning @ CUED

An application of HDP And IBP for stream-based action recognition and high dimensional data

Ava Bargi : University of Technology, Sydney.

Engineering Department, CBL Room BE-438.

Monday 11 March 2013, 11:30-12:00

Machine Learning @ CUED

Using Context and Insight for the Analysis of LittleData?

Philipp Moritz (U Cambridge).

Engineering Department, CBL Room BE-438.

Friday 08 March 2013, 11:00-11:30

Machine Learning Reading Group @ CUED

Machine Learning in Speech Recognition

Speaker to be confirmed.

Engineering Department, CBL Room 438.

Thursday 07 March 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Fragmentation Coagulation

Hong Ge (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 28 February 2013, 15:00-16:30

Machine Learning @ CUED

Feature allocations, probability functions, and paintboxes

Tamara Broderick (UC Berkeley).

Engineering Department, CBL Room BE-438.

Wednesday 27 February 2013, 11:30-12:30

Machine Learning @ CUED

Modelling Reciprocating Relationships with Hawkes Processes

Charles Blundell (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438.

Friday 22 February 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Conditional Density Estimation

Sara Wade ( Bocconi University).

Engineering Department, CBL Room 438.

Thursday 21 February 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

New probabilistic methods for inference of natural selection on regulatory sequences in the human genome

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Adam Siepel, Cornell University.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 19 February 2013, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Daniel’s Adventures in Computer Vision Land

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Daniel Freedman, Microsoft Research – Advanced Technology Labs Israel.

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 18 February 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

RCC Planning

Colorado Reed (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 07 February 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Discrete Optimization

Colorado Reed (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 31 January 2013, 15:00-16:30

Machine Learning @ CUED

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables

Nevena Lazic (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 30 January 2013, 11:00-12:00

Machine Learning Reading Group @ CUED

Advanced Sampling

Christian Steinruecken (University of Cambridge); Dr Tomoharu Iwata (NTT).

Engineering Department, CBL Room 438.

Thursday 24 January 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

NIPS Recap

Speaker to be confirmed.

Engineering Department, CBL Room 438.

Thursday 17 January 2013, 14:30-16:00

Machine Learning Reading Group @ CUED

NIPS Recap

Speaker to be confirmed.

Engineering Department, CBL Room 438.

Thursday 06 December 2012, 14:30-16:00

Microsoft Research Machine Learning and Perception Seminars

From motion capture of interacting hands to video based rendering.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Luca Ballan, Institute of Visual Computing in ETH Zurich.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 04 December 2012, 14:00-15:00

Machine Learning Reading Group @ CUED

Bayesian and Gradient Reinforcement Learning

Yanyue (University of Cambridge); Emil Hewage (CBL, University of Cambridge); .

Engineering Department, CBL Room 438.

Thursday 29 November 2012, 14:30-16:00

Microsoft Research Machine Learning and Perception Seminars

Spectral Edge: Making the Invisible Visible

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Graham Finlayson, UEA.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 27 November 2012, 14:30-15:30

Machine Learning Reading Group @ CUED

Spectral Clustering

Mr Roger Grosse (MIT); Alex Matthews.

Engineering Department, CBL Room 438.

Thursday 22 November 2012, 14:30-16:00

Machine Learning @ CUED

The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes

Dr Daniel Roy (University of Cambridge).

Engineering Department, CBL Room BE-438.

Tuesday 20 November 2012, 13:00-14:30

Machine Learning Reading Group @ CUED

Modern Neural Networks: the Hinton Camp

Richard Turner, Mark van der Wilk.

Engineering Department, CBL Room 438.

Thursday 15 November 2012, 14:30-16:00

Machine Learning @ CUED

Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method

Dr Dalia Chakrabarty (University of Warwick).

Engineering Department, CBL Room BE-438.

Thursday 15 November 2012, 11:30-12:30

Machine Learning Reading Group @ CUED

Distributional compositional models of semantics

Stephen Clark (Computer Laboratory).

Engineering Department, CBL Room 438.

Thursday 08 November 2012, 13:30-15:00

Machine Learning @ CUED

Identification of causal effects

Nevena Lazic.

Engineering Department, CBL Room BE-438.

Thursday 25 October 2012, 14:30-16:00

Microsoft Research Machine Learning and Perception Seminars

Towards ad hoc interactions with robots

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Subramanian Ramamoorthy, University of Edinburgh.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 23 October 2012, 14:00-15:00

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

Jes Frellsen (University of Copenhagen).

Engineering Department, CBL Room BE-438.

Monday 22 October 2012, 11:00-12:00

Machine Learning Reading Group @ CUED

Completely Random Measures in Bayesian Nonparametrics

Dr Daniel Roy (University of Cambridge), Creighton Heaukulani.

Engineering Department, CBL Room 438.

Thursday 18 October 2012, 14:30-16:00

Computer Laboratory Systems Research Group Seminar

Distributed, Real-Time Bayesian Learning in Online Services

Ralf Herbrich (Facebook).

LT1, Computer Laboratory, William Gates Builiding.

Tuesday 16 October 2012, 16:00-17:00

Microsoft Research Machine Learning and Perception Seminars

From the Information Extraction Pipeline to Global Models, and Back

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Sebastian Riedel, UCL.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 16 October 2012, 14:00-15:00

Machine Learning Reading Group @ CUED

Model selection in a large compositional space

note: the first 45 mins will be planning and the talk will start at around 3:15pm

Roger Grosse (MIT).

Engineering Department, CBL Room 438.

Thursday 11 October 2012, 14:30-16:00

Machine Learning @ CUED

Compressed Sensing Applications in Functional Magnetic Resonance Imaging

Christine Law (Oxford University).

Engineering Department, CBL Room BE-438.

Wednesday 26 September 2012, 11:00-12:00

Microsoft Research Cambridge, public talks

Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Matthias Seeger, EPFL.

Small lecture theatre, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 25 September 2012, 15:00-16:00

Machine Learning @ CUED

Multi-Label Learning with Millions of Categories

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Monday 24 September 2012, 11:00-12:00

Machine Learning @ CUED

Efficient Sampling with Kernel Herding

Yutian Chen (University of California at Irvine) - talk given by videolink.

Engineering Department, CBL Room BE-438.

Wednesday 12 September 2012, 16:00-17:00

Microsoft Research Machine Learning and Perception Seminars

Capture of dynamic scene using multiple cameras provides rich spatial-temporal information that can be used for solving challenging computer vision problems.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Tali Basha, Tel-Aviv University.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Friday 07 September 2012, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Tell Me Where You’ve Lived and What You Want -- I’ll Tell You What You Like and Need

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Abraham Bernstein, University of Zurich.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Thursday 30 August 2012, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Latent Hough Transform for Object Detection

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Nima Razavi, ETH Zurich and Intern at Microsoft Research Cambridge.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Wednesday 29 August 2012, 14:00-15:00

Machine Learning @ CUED

Frank-Wolfe optimization insights in machine learning

Simon Lacoste-Julien (INRIA, ENS, Paris).

Engineering Department, CBL Room BE-438.

Friday 24 August 2012, 11:00-12:00

Microsoft Research Machine Learning and Perception Seminars

Context sensitive information: Which bits matter in data?

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Joachim Buhmann, ETH Zurich.

Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 21 August 2012, 14:00-15:00