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Seminar

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Computational Statistics and Machine Learning Group

Join our mailing list by sending a blank email to [email protected].

  • Time: Fridays at 16.00-17.00 (time varies on a week-by-week basis, please see below)
  • Venue: Small/Large Lecture Theatre (and/or Zoom) at 24 St Giles, Oxford, OX1 3LB.
  • Current organisers: Desi Ivanova and Rebecca Lewis
  • Contact: [email protected]
  • Recorded talks: Oxford Statistics Podcasts

Talks for Michaelmas Term 2024

Date Time Location Speaker Topic
2024.10.18
4.00pm Small Lecture Theatre Jeremias Knoblauch Post-Bayesian machine learning
2024.10.25
4.00pm Small Lecture Theatre Nikola Konstantinov Incentivizing collaboration in federated learning
2024.11.01
4.00pm Small Lecture Theatre Nicholas Irons Causally sound priors for binary experiments
2024.11.08
4.00pm Small Lecture Theatre Miha Bresar Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat
2024.11.13
11.00pm Small Lecture Theatre Nikolas Nusken
2024.11.22
4.00pm Small Lecture Theatre Yingzhen Li
2024.11.29
4.00pm Small Lecture Theatre Tingting Zhu
2024.12.06
4.00pm Small Lecture Theatre Mona Azadkia

Talks for Summer 2024

Date Time Location Speaker Topic
2024.07.26
4.00pm Small Lecture Theatre Andrej Risteski The statistical cost of score-based losses
2024.08.09
4.00pm Small Lecture Theatre Taeyoung Kim Transformers can perform distributionally-robust optimisation through in-context learning

Talks for Trinity Term 2024

Date Time Location Speaker Topic
2024.04.10 2.00pm Small Lecture Theatre Mareike Hasenpflug Geodesic slice sampling on Riemannian manifolds
2024.04.19 2.00pm Small Lecture Theatre Umut Simsekli Implicit compressibility of overparametrized neural networks trained with heavy-tailed SGD
2024.04.25 4.00pm LG.04 Murat A. Erdogdu Feature learning in two-layer neural networks: the effect of data covariance
2024.04.26 2.00pm Small Lecture Theatre Stijn Vansteelandt Assumption-lean modeling and orthogonal learning conditional average treatment effects
2024.04.30 2.00pm Small Lecture Theatre Francesca Panero Modeling sparse networks with Bayesian nonparametrics
2024.05.06 2.00pm Small Lecture Theatre Claudia Czado Vine copula-based regression models
2024.05.17 2.00pm Small Lecture Theatre Florian Pfaff Recursive Bayesian estimation on periodic manifolds and beyond
2024.05.24 2.00pm Small Lecture Theatre Zhu (Michael) Li Nonlinear meta-learning can guarantee faster rates
2024.06.07 2.00pm Small Lecture Theatre Benjamin Guedj On generalisation and learning
2024.06.12 10.30am Open Research Zone Pang Wei Koh Reliable and responsible data use: retrieval-based models and synthetic data

Talks for Hilary Term 2024

Date Time Location Speaker Topic
2024.01.19 2.00pm Small Lecture Theatre Rebecca Lewis High-dimensional logistic regression with separated data
2024.02.02 2.00pm Small Lecture Theatre Alessandro Barp What is a distribution? Constructing a geometric backbone for statistical methodologies
2024.02.16 2.00pm Small Lecture Theatre Laurence Aitchison Deep kernel processes and machines
2024.02.22 2.00pm Small Lecture Theatre David Burt Consistent Validation for Predictive Methods in Spatial Settings
2024.03.01 2.00pm Small Lecture Theatre Thomas Berrett Nonparametric tests of Missing Completely At Random
2024.03.08 2.00pm Large Lecture Theatre Mathieu Gerber Online parameter and state estimation in state space models

Talks for Michaelmas Term 2023

Date Time Location Speaker Topic
2023.10.13 2.00pm Small Lecture Theatre Spencer Frei Learning linear models in-context with transformers
2023.10.19 3.30pm Large Lecture Theatre Kerrie Mengersen Dealing with Sensitive Data
2023.10.20 2.00pm Small Lecture Theatre O. Deniz Akyildiz Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
2023.10.27 2.00pm Small Lecture Theatre Georgios Batzolis Your diffusion model secretly knows the dimension of the data manifold
2023.11.02 3.30pm Large Lecture Theatre Arno Solin Structured Inductive Biases in Machine Learning: Approaches to Magnetic SLAM and Multi-scale Generative Modelling
2023.11.03 2.00pm Small Lecture Theatre Stathi Fotiadis Accelerating Diffusion Model Sampling: Techniques for Training and Inference
2023.11.10 1.00pm Small Lecture Theatre Bobby He Simplifying Transformer Blocks
2023.11.10 2.00pm Small Lecture Theatre Nicolas Flammarion Saddle-to-saddle dynamics in diagonal linear networks
2023.11.17 2.00pm Small Lecture Theatre Laurence Midgley Flow Annealed Importance Sampling Bootstrap
2023.11.24 2.00pm Small Lecture Theatre Richard Turner Neural Processes for Environmental Prediction
2023.12.01 2.00pm Small Lecture Theatre Antonio Orvieto Long-range reasoning on graphs without attention

Talks for Trinity Term 2023

Date Time Location Speaker Topic
2023.04.21 12.30pm Large Lecture Theatre Kaifeng Lyu Why (and When) does Local SGD Generalize Better than SGD?
Abhishek Panigrahi Task-Specific Skill Localization in Fine-tuned Language Models
Sadhika Malladi Modeling SGD with Stochastic Differential Equations: Theory and Applications
2023.04.28 2pm Large Lecture Theatre Aki Nishimura Zigzag path connects two Monte Carlo paradigms: Hamiltonian counterparts to piecewise deterministic Markov processes
2023.05.05 2pm Small Lecture Theatre Leonard Henckel Graphical Tools for Selecting Conditional Instrumental Sets
2023.05.12 4pm Small Lecture Theatre Paolo Perrone Probability, symmetry, and entropy with Markov categories
2023.05.19 4pm Small Lecture Theatre Benedicte Colnet Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
2023.06.02 2pm Small Lecture Theatre Ardjen Pengel Gaussian approximation and variance estimation for high-dimensional MCMC
2023.06.09 2pm Small Lecture Theatre Louis Sharrock Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
2023.06.16 1.30pm Large Lecture Theatre Jakiw Pidstrigach Infinite-Dimensional Diffusion Models for Function Spaces
3pm Brian Trippe Twisted diffusion sampling for accurate conditional generation with application to protein design
4.30pm Sanjeev Arora A Theory for Emergence of Complex Skills in Large Language Models
2023.06.23 2pm Small Lecture Theatre Sifan Liu An Exact Sampler for Inference after Polyhedral Model Selection

Talks for Hilary Term 2023

Date Time Location Speaker Topic
2023.01.20 4pm Large Lecture Theatre Lauren Kennedy Using structured priors for survey adjustment
2023.01.27 (cancelled)
2023.02.03 (Florence Nightingale Lecture)
2023.02.10 1pm LG.04 Viacheslav Borovitskiy Geometric Gaussian Processes
4pm Large Lecture Theatre Sam Power Explicit convergence bounds for Metropolis Markov chains
2023.02.17 4pm Jeremias Knoblauch Optimisation-centric generalisations of Bayesian inference
2023.02.24 4pm Chengchun Shi Statistical Inference in Reinforcement Learning
2023.03.03 2pm Johan van der Molen Dirichlet process mixture inconsistency for the number of components: how worried should we be in practice?
4pm Gergely Neu Optimistic Planning by Regularized Dynamic Programming
2023.03.10 4pm Tui Nolan Orthogonal Bayesian Functional Principal Components Analysis

Talks for Michaelmas Term 2022

Date Time Location Speaker Topic
2022.11.18 2:30pm Large Lecture Theatre Jakob Foerster Opponent-Shaping and Interference in General-Sum Games
2022.11.25 2:30pm Large Lecture Theatre Hongseok Yang Learning Symmetric Rules with SATNet
2022.12.02 2:30pm Large Lecture Theatre Francesca Panero Achieving fairness with a simple ridge penalty

Talks for Trinity Term 2022

Date Time Location Speaker Topic
15 Apr 2022 4:30pm Zoom Geoffrey Schiebinger Towards a mathematical theory of development
29 Apr 2022 (cancelled)
6 May 2022 3:30pm large lecture theatre and Zoom Siyuan Guo Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
13 May 2022 3:30pm Zoom Xin T. Tong Can Algorithms Collaborate? The Replica Exchange Method and Its Spectral Gap
20 May 2022 (Oxford Maths and Stats Colloquium)
27 May 2022 4pm small lecture theatre and Zoom Saifuddin Syed Non-reversible parallel tempering
3 Jun 2022 Badr-Eddine Chérief-Abdellatif
10 Jun 2022 (Fridays@4 Maths Meets Stats)
22 Jun 2022 (TBA) Cecilia Balocchi Bayesian Nonparametric Analysis of Spatial Variation with Discontinuities
24 Jun 2022 Elizaveta Semenova Encoding spatial priors with VAEs for geospatial modelling

Talks for Hilary Term 2022

Date Time Location Speaker Topic
21 Jan 2022 2pm large lecture theatre and zoom Robert Goudie Joining Bayesian submodels with Markov melding
28 Jan 2022 4pm large lecture theatre and zoom Anastasia Ignatieva Genealogy-based inference of recombination
4 Feb 2022 4pm zoom James Martens Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
11 Feb 2022 4pm large lecture theatre and zoom Agni Orfanoudaki Machine Learning Algorithms for Personalised Medicine & Insurance
18 Feb 2022 4pm large lecture theatre and zoom Lionel Riou-Durand Metropolis Adjusted Underdamped Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
25 Feb 2022 4pm large lecture theatre and zoom Konstantinos Zygalakis Connection Between Optimization and Sampling Algorithms
4 Mar 2022 (Florence Nightingale Lecture)
11 Mar 2022 4pm zoom Guodong Zhang Training Deep Neural Networks without Shortcuts

Talks for Michaelmas Term 2021

Date Time Location Speaker Topic
15 Oct 2021 4:00 pm small lecture theatre and Zoom Seth Flaxman Statistical challenges from a pandemic
22 Oct 2021 (OxWaSP annual workshop)
29 Oct 2021 (cancelled)
5 Nov 2021 4:00 pm large lecture theatre and Zoom Matteo Giordano Consistent Bayesian nonparametric inference in inverse problems
12 Nov 2021 4:00 pm large lecture theatre and Zoom Jakob Foerster Off-Belief Learning and Zero-Shot Coordination
19 Nov 2021 4:00 pm large lecture theatre and Zoom Kamelia Daudel Infinite-dimensional Alpha-divergence minimisation for Variational Inference
26 Nov 2021 4:00 pm large lecture theatre and Zoom Wenkai Xu Kernel Stein Discrepancies for Goodness-of-fit Testing
3 Dec 2021 (Corcoran Memorial Prize Award and Lecture)
10 Dec 2021 4:00 pm Zoom Jeffrey Negrea Statistical Inference with Stochastic Gradient Algorithms

Talks for Trinity Term 2021

Date Time Location Speaker Topic
23 April 2021 3:30 pm Zoom Roger Grosse Self-tuning networks: Amortizing the hypergradient computation for hyperparameter optimization
30 April 2021 3:30 pm Zoom Julyan Arbel Approximate Bayesian computation with surrogate posteriors
7 May 2021 3:30 pm Zoom Aki Vehtari Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning
14 May 2021 3:30 pm Zoom Cynthia Rudin Do simpler models exists and how can we find them?
21 May 2021 3:30 pm Zoom James Johndrow Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors
28 May 2021 3:30 pm Zoom Alexandra Carpentier Several structured thresholding bandit problems
4 June 2021 3:30 pm Zoom Qiang Liu Recent Applications of Stein's Method in Machine Learning
11 June 2021 3:30 pm Zoom (cancelled)
18 June 2021 3:30 pm Zoom Susan Murphy (Distinguished speaker series)
25 June 2021 3:30 pm Zoom Quan Zhou Complexity of local MCMC methods for high-dimensional model selection
2 July 2021 3:30 pm Zoom Caroline Uhler Causality and Autoencoders in the Light of Drug Repurposing for COVID-19

Talks for Hilary Term 2021

Date Time Location Speaker Topic
15 January 2021 3:30 pm Zoom Lénaïc Chizat Faster Wasserstein distance estimation with the Sinkhorn divergence
22 January 2021 11:00 am Zoom Chris Gamble DeepMind: AI as a Science and AI for Science
29 January 2021 3:30 pm Zoom Victor Veitch Causal Estimation with Machine Learning without (Simple) Unconfoundedness
5 February 2021 3:30 pm Zoom Sinnead Williamsom Bayesian nonparametric models for interaction networks
12 February 2021 3:30 pm Zoom Veronika Rockova METROPOLIS-HASTINGS VIA CLASSIFICATION
19 February 2021 3:30 pm Zoom François-Xavier Briol Kernel-based robust inference for intractable likelihood models
26 February 2021 3:30 pm Zoom Karolina Dziugaite Distribution-dependent generalization bounds for noisy, iterative learning algorithms
5 March 2021 3:30 pm Zoom Linda Siew Li Tan Use of model reparametrization to improve variational Bayes
12 March 2021 3:30 pm Zoom Murat A. Erdogdu Convergence of Online SGD under Infinite Noise Variance, and Non-convexity
19 March 2021 3:30 pm Zoom Maire Florian Approximate asymptotic variance ordering for MCMC
26 March 2021 3:30 pm Zoom Benjamin Guedj A primer on PAC-Bayesian learning followed by News from the PAC-Bayes frontline

Talks for Hilary Term 2020

Date Time Location Speaker Topic
24 January 2020 3:30 pm small lecture theatre Alessandro Barp Sampling Distributions on Manifolds with Hamiltonian Monte Carlo
13 February 2020 TBA TBA Nicolas Heess TBA
14 February 2020 3:30 pm small lecture theatre Michael Arbel TBA
28 February 2020 3:30 pm small lecture theatre Danielle Belgrave TBA
6 March 2020 3:30 pm small lecture theatre David Pfau TBA
13 March 2020 3:30 pm small lecture theatre Benjamin Guedj (cancelled) A primer on PAC-Bayesian learning, and application to deep neural networks

Talks for Michaelmas Term 2019

Date Time Location Speaker Topic
20 September 2019 3:30 pm large lecture theatre Masashi Sugiyama Machine Learning from Weak Supervision: Towards Accurate Classification with Low Labeling Costs
7 October 2019 3:30 pm small lecture theatre Maurizio Filippone Walsh-Hadamard Variational Inference for Bayesian Deep Learning
11 October 2019 3:30 pm Lecture Theatre B, Wolfson Building, 15 Parks Rd David Barber Spread Divergences
18 October 2019 3:30 pm small lecture theatre Andrew Saxe Dynamics of generalization error in overparametrized neural networks
24 October 2019 3:30 pm Lecture Theatre B, Wolfson Building, 15 Parks Rd Bert Kappen Training a quantum system to represent classical data
25 October 2019 11:00 am small lecture theatre Jonathan Huggins Using bagged posteriors for robust inference and model criticism
25 October 2019 3:30 pm small lecture theatre Martin Wiegel Population simulation methods for parallel computing
1 November 2019 3:30 pm small lecture theatre Dino Oglic On Scalable Learning in Krein Spaces and Cyclic Discovery Processes
15 November 2019 3:30 pm small lecture theatre Irina Higgins What is disentangling and does intelligence need it?
29 November 2019 11:00 am large lecture theatre Takeru Matsuda Estimation and selection of non-normalized models
6 December 2019 3:30 pm small lecture theatre Pierre Alquier A Generalization Bound for Online Variational Inference
13 December 2019 3:30 pm small lecture theatre Saifuddin Syed Non-reversible parallel tempering: a scalable, highly parallel MCMC algorithm

Talks for Trinity Term 2019

Date Time Location Speaker Topic
3 May 2019 3:30pm small lecture theatre Xiaowen Dong [Oxford] A maximum-mean-discrepancy goodness-of-fit test for censored data
10 May 2019 3:30pm small lecture theatre Umut Şimşekli [Télécom ParisTech] Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees
17 May 2019 3:30pm small lecture theatre No seminar Departmental Distinguished Seminar
20 May 2019 3:30pm small lecture theatre Cédric Févotte [Toulouse] TBD
24 May 2019 3:30pm small lecture theatre Chris Sherlock [Lancaster] Fast, exact inference for discretely observed Markov jump processes using finite rate matrices
30 May 2019 3:30pm large lecture theatre Ingo Steinwart [Stuttgart] Neural Networks: Initializations and Global Minima
31 May 2019 3:30pm small lecture theatre Eric Nalisnick [Cambridge] Evaluating Deep Generative Models on Out-of-Distribution Inputs
7 June 2019 3:30pm small lecture theatre Kody Law [Manchester] Bayesian Static Parameter Estimation for Partially Observed Diffusions using Multilevel Monte Carlo
14 June 2019 3:30pm small lecture theatre Cancelled due to distinguished seminar TBD
21 June 2019 3:30pm small lecture theatre Chris Nemeth [Lancaster] TBD

Talks for Hilary Term 2019

Date Time Location Speaker Topic
1 February 2019 3:30pm small lecture theatre Tamara Fernandez [UCL] A maximum-mean-discrepancy goodness-of-fit test for censored data
8 February 2019 3:30pm small lecture theatre Olga Isupova [Oxford] TBD
15 February 2019 3:30pm small lecture theatre Lorenzo Rosasco [Genova and MIT] TBD
22 February 2019 3:30pm small lecture theatre Richard Wilkinson [Sheffield] TBD
1 March 2019 3:00pm large lecture theatre Jose-Miguel Hernandez Lobato [Cambridge] Advances in machine learning for molecules
8 March 2019 3:30pm small lecture theatre David Martínez [Oxford] TBD
15 March 2019 3:30pm small lecture theatre Shimon Whiteson [Oxford] TBD

Talks for Michaelmas Term 2018

Date Time Location Speaker Topic
05 October 2018 3:30pm large lecture theatre Song Liu [Bristol] Model Inference with Stein Density Ratio Estimation
19 October 2018 3:30pm small lecture theatre Anthony Caterini / Lawrence Middleton [Oxford] Hamiltonian Variational Auto-Encoder / Parallelising particle MCMC through exact estimation
26 October 2018 3:30pm small lecture theatre Chris Maddison [Oxford] Hamiltonian Descent Methods
2 November 2018 3:30pm small lecture theatre Alexander Lvovsky [Oxford] Quantum optical Ising machines and their simulators for annealing and machine learning
9 November 2018 3:30pm large lecture theatre Aapo Hyvarinen [Gatsby] Nonlinear independent component analysis: A principled framework for unsupervised deep learning
16 November 2018 3:30pm large lecture theatre Brooks Paige [Turing] Semi-interpretable probabilistic models
23 November 2018 3:30pm large lecture theatre Ricardo Silva [UCL] Neural Networks and Graphical Models for Constructing and Fitting Cumulative Distribution Functions
30 November 2018 1:30pm TBD Yi Yu [Bristol] Optimal Change Point Detection and Localization in Sparse Dynamic Networks

Talks for Trinity Term 2018

Date Time Location Speaker Topic
23 April 2018 3:30pm small lecture theatre Aaditya Ramdas [UC Berkeley] Uniform, nonparametric, nonasymptotic confidence sequences (or: how to test if a coin is biased)
27 April 2018 3:30pm small lecture theatre Benedict Leimkuhler [University of Edinburgh] Efficient algorithms for high-dimensional sampling based on extended stochastic dynamics
23 May 2018 11am small lecture theatre Volkan Cevher [EPFL] Mirrored Langevin Dynamics
25 May 2018 3:30pm small lecture theatre Nick Whiteley [Bristol] The Viterbi process and parallelized estimation in high-dimensions
1 June 2018 2:00pm small lecture theatre Quentin Berthet [Cambridge] Optimal Link Prediction with Matrix Logistic Regression
1 June 2018 3:30pm small lecture theatre Stefano Favaro [Torino] A Bayesian approach to disclosure risk assessment
15 June 2018 3:30pm small lecture theatre Ryota Tomioka [MSR] Gaussian Embedding of Knowledge Bases and Application to Question Answering

Talks for Hilary Term 2018

Date Time Location Speaker Topic
26 January 2018 3:30pm small lecture theatre Jovana Mitrovic [Oxford Statistics] Causal Inference via Kernel Deviance Measures
Kaspar Märtens [Oxford Statistics] Augmented Ensemble MCMC with applications to Factorial Hidden Markov Models
2 February 2018 3:30pm small lecture theatre Giuseppe Di Benedetto [Oxford Statistics] Non-exchangeable random partition models for micro clustering
Maxime Rischard [Harvard] Addressing time of measurement bias in records of daily temperature extrema: a spatio-temporal imputation strategy
9 February 2018 3:30pm small lecture theatre Michael Golden [Oxford Statistics] Probabilistic Inference of Nucleotide Coevolution
16 February 2018 3:30pm small lecture theatre Matt Kusner [Warwick and ATI] Grammar Variational Autoencoder
2 March 2018 2pm small lecture theatre Owen Thomas [University of Oslo] Recent Methods in Model-Based Likelihood-Free Inference
2 March 2018 3:30pm small lecture theatre Ingo Steinwart [University of Stuttgart] Learning with (Flexible) Kernels
7 March 2018 3:30pm small lecture theatre John Cunningham [Columbia University] Structure in tensor-variate data: a trivial byproduct of simpler phenomena?
9 March 2018 No CSML seminar. Department Distinguished Seminar.
12 March 2018 3:30pm small lecture theatre Sam Livingstone [UCL] What we talk about when we talk about non-reversible MCMC
16 March 2018 No CSML seminar---room available due to industry event
23 March 2018 3:30pm small lecture theatre Miklos Racz [Princeton University] High-dimensional random geometric graphs

Talks for Michaelmas Term 2017

Date Time Location Speaker Topic
13 October 2017 3:30pm small lecture theatre Catalina Vallejos [UCL and ATI] BASiCS: dealing with technical and biological noise in single-cell expression data
20 October 2017 3:30pm small lecture theatre Yarin Gal [Oxford CS] Bayesian deep learning
27 October 2017 3:30pm small lecture theatre Pawan Kumar [Oxford Engineering Science] Relaxations and Rounding for the Labelling Problem
3 November 2017 3:30pm small lecture theatre Sergio Bacallado [Cambridge] Unbiased estimation and prediction in the hierarchical two-parameter Poisson-Dirichlet process
10 November 2017 3:30pm small lecture theatre Peter Orbanz [Columbia Univ., NYC] Inference from a single, growing graph
17 November 2017 3:30pm small lecture theatre Silvia Chiappa [DeepMind] Explicit-Duration Markov Switching Models
24 November 2017 No CSML seminar. Department Distinguished Seminar.
1 December 2017 3:30pm small lecture theatre Sara Wade [Warwick] Adaptive truncation of a Bayesian nonparametric multivariate regression model for a study of fertility and partnership patterns of Colombian women
8 December 2017 3:30pm small lecture theatre Rajen Shah [Cambridge] The xyz algorithm for fast interaction search in high-dimensional data

Talks for Hilary Term 2017

Date Time Location Speaker Topic
22 March 2017 3:30pm small lecture theatre Kenji Fukumizu [Institute of Statistical Mathematics, Tokyo] Kernel methods for topological data analysis
17 March 2017 3:30pm small lecture theatre Thomas E. Nichols [University of Warwick] Large Scale Evaluation of Random Field Theory Inference in fMRI
16 March 2017 10:00am small lecture theatre Nicholas Chopin [ENSAE] Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
24 February 2017 3:30pm small lecture theatre Abdul-Lateef Haji-Ali [Oxford Maths] Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
17 February 2017 3:30pm small lecture theatre Nikolas Kantas [Imperial College London] Towards particle filtering for signals arising from dissipative stochastic PDEs
10 February 2017 3:30pm small lecture theatre Gersende Fort [IMT-CNRS, Toulouse, France] Convergence
of perturbed proximal gradient algorithms
3 February 2017 3:30pm small lecture theatre Dougal Sutherland [Gatsby] Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

Talks for Michaelmas Term 2016

Date Time Location Speaker Topic
25 November 2016 3:30pm small lecture theatre Chang-Han Rhee [CWI Amsterdam] TBA
18 November 2016 3:30pm small lecture theatre Jean-Michel Marin [Université de Montpellier] Approximate Bayesian Computation using Random Forests
14 November 2016 2:30pm small lecture theatre Mladen Kolar [University of Chicago] Inference in high-dimensional semi-parametric graphical models
11 November 2016 3:30pm small lecture theatre Colin Fox [University of Otaga] MH-MCMC with Stochastic AR(1) Proposals
4 November 2016 3:30pm small lecture theatre Satish Iyengar [University of Pittsburgh] Applications of Diffusion Models to Neuroscience and Finance
28 October 2016 3:30pm small lecture theatre Alexandre Bouchard-Côté [University of British Columbia] Monte Carlo without rejection
21 October 2016 1:30pm-3:30pm small lecture theatre Hong Ge [Cambridge], Simon Byrne [UCL] Turing: A fast imperative probabilistic programming language and Introduction to Julia

Earlier seminars are listed on our old website.