Statistics Seminars

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Past Seminars:

  • Jozsef Konczer
    Statistical Games
    Thursday 9th May 2024

  • Thomas Maullin-Sapey
    Spatial Confidence Regions and Uncertainty in fMRI
    Friday 26th April 2024

  • Russell Bowater
    The 7 hardest lessons to learn in statistics
    Friday 12th April 2024

  • Laurence Aitchison
    Massively parallel probabilistic inference and learning
    Friday 22nd March 2024

  • Matthias Ehrhardt
    Towards Reliable Solutions of Inverse Problems with Deep Learning
    Friday 22nd March 2024

  • Sam Power
    Comparison Theorems for Practical Slice Sampling
    Friday 8th March 2024

  • Neil Chada
    Unbiased Langevin Monte Carlo
    Friday 8th March 2024

  • Masha Naslidnyk
    Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
    Friday 23rd February 2024

  • Dan Crisan
    Noise calibration for geophysical fluid dynamics models
    Friday 9th February 2024

  • Werner Krauth
    lifted TASEP, an integrable example of non-reversible Markov chains
    Friday 26th January 2024

  • Konstantinos Zygalakis
    Algorithms for posterior sampling in Bayesian imaging inverse problems
    Friday 8th December 2023

  • Elizaveta Semenova
    Deep generative modelling aiding spatial statistics
    Friday 24th November 2023

  • Chengchun Shi
    Statistical Inference in Reinforcement Learning
    Friday 10th November 2023

  • Annabel Davies
    Network meta-analysis and statistical physics
    Friday 27th October 2023

  • Katarzyna Reluga
    The impact of job stability on monetary poverty in Italy: causal small area estimation
    Friday 27th October 2023

  • Oana Lang
    Eulerian calibration for stochastic models
    Friday 13th October 2023

  • Han Bao
    Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds
    Friday 13th October 2023

  • Yingzhen Li
    Towards Causal Deep Generative Models for Sequential Data
    Friday 29th September 2023

  • Juliette Unwin
    Infectious disease modelling
    Friday 29th September 2023

  • Nihar B. Shah
    Subjectivity and Bias in Peer Review
    Monday 24th July 2023

  • Ayaka Sakata
    Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
    Monday 5th June 2023

  • Sergio Bacallado
    Exploiting small and complex datasets for drug discovery
    Friday 5th May 2023

  • Andrew Duncan
    Kernel Based Distribution Tests in High and Infinite Dimensions
    Friday 28th April 2023

  • Randolf Altmeyer
    Polynomial time guarantees for sampling based posterior inference
    Friday 28th April 2023

  • Matteo Ruggiero
    Duality-based Inference in Bayesian dynamic models
    Friday 21st April 2023

  • Mark Herbster
    Online multi-task learning with long-term memory
    Friday 31st March 2023

  • Pier Luigi Dragotti
    Model-Based Machine Learning for Inverse Problems in Imaging
    Friday 17th March 2023

  • Desi Ivanova
    Deep Adaptive Design: Model-Based Adaptive Experimental Design in Real Time
    Friday 10th March 2023

  • Chen Qin
    Deep Learning Meets Medical Imaging: From Signals to Clinically Useful Information
    Friday 3rd March 2023

  • Hai-Dang Dau
    Sequential Monte Carlo for conditional simulation in generative diffusion models
    Friday 17th February 2023

  • Ata Kaban
    PAC-Learning with approximate predictors
    Friday 17th February 2023

  • Tamás Papp
    Dimensional scaling of coupled MCMC algorithms
    Tuesday 7th February 2023

  • Yunjin Choi
    Adaptive community detection via fused l-1 penalty
    Tuesday 31st January 2023

  • Jake Soloff
    Friday 25th November 2022

  • Jun Yang
    Stereographic MCMC
    Friday 18th November 2022

  • Cong Ma
    Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
    Friday 11th November 2022

  • Fang Wan
    Confidence sets for a level set in linear regression
    Friday 28th October 2022

  • Timothy Waite
    Minimax efficient random experimental design strategies with application to model-robust design for prediction
    Friday 14th October 2022

  • Juliette Unwin
    Infectious disease modelling for policy response
    Monday 3rd October 2022

  • Rajen Shah
    The Projected Covariance Measure for assumption-lean variable significance testing
    Friday 30th September 2022

  • Nick Whiteley
    On the Statistical Origin of Manifold Structure in Data
    Monday 13th June 2022

  • Joshua Loftus
    Counterfactual fairness
    Friday 10th June 2022

  • Neil Lawrence
    Deep Gaussian Processes: A Motivation and Introduction
    Monday 6th June 2022

  • Philip Thompson
    On the least-squares problem with outliers, matrix decomposition and related concentration inequalities
    Friday 27th May 2022

  • Richard Samworth
    Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
    Friday 27th May 2022

  • Alessandra Luati
    Semiparametric modeling of multiple quantiles
    Friday 20th May 2022

  • Ioanna Manolopoulou
    Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
    Friday 20th May 2022

  • Rihuan Ke
    From multi-tasking to nonlinear modelling: label-efficient learning algorithms for image analysis
    Friday 6th May 2022

  • Song Liu
    The f -divergence and Loss Functions in ROC Curve
    Friday 6th May 2022

  • Byol Kim
    Black-box tests for algorithmic stability
    Friday 1st April 2022

  • Umberto Picchini
    Bayesian inference for mixed-effects models driven by SDEs and other stochastic models: a scalable approach.
    Friday 1st April 2022

  • Qian Qin
    Analysis of two-component Gibbs samplers using the theory of two projections
    Friday 18th March 2022

  • Robert Lunde
    Modern Statistical Tools for Network Data: From Resampling to Conformal Prediction
    Friday 18th March 2022

  • Lucy Gao
    Valid Inference After Hierarchical Clustering
    Friday 4th March 2022

  • Louis Sharrock
    Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
    Friday 4th March 2022

  • Randal Douc
    Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm
    Friday 18th February 2022

  • Arun Kumar Kuchibhotla
    Median bias, HulC, and valid inference
    Friday 18th February 2022

  • Ruth Heller
    Optimal multiple testing and design in clinical trials
    Friday 4th February 2022

  • Lionel Riou-Durand
    Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
    Friday 4th February 2022

  • Yoav Zemel
    Stochastic approximations for discrete optimal transport
    Friday 21st January 2022

  • Anusha Lalitha
    Decentralized Cooperative Multi-armed Bandits
    Friday 10th December 2021

  • Kin Wai Chan
    General and Feasible Multiple Imputation Tests
    Friday 10th December 2021

  • Takafumi Kanamori
    Variable Selection for Nonparametric Learning with Power Series Kernels
    Friday 26th November 2021

  • Umut Simsekli
    Towards Building a Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
    Friday 12th November 2021

  • Cecilia Viscardi
    A large deviation approach to approximate Bayesian computation
    Friday 12th November 2021

  • Badr-Eddine Chérief-Abdellatif
    A Theoretical Study of Variational Inference
    Friday 29th October 2021

  • Andrew Jones
    [CANCELLED] Visualizing dynamic networks through unfolded adjacency spectral embedding
    Friday 29th October 2021

  • Matteo Fasiolo
    Additive stacking for ensemble electricity demand forecasting
    Friday 29th October 2021

  • Tengyao Wang
    High-dimensional changepoint estimation with heterogeneous missingness
    Friday 15th October 2021

  • Michael Gutmann 
    Statistical applications of contrastive learning
    Friday 15th October 2021

  • Kamélia Daudel
    Monotonic Alpha-divergence Variational Inference
    Friday 1st October 2021

  • Dennis Prangle
    Distilling importance sampling for likelihood-free inference
    Friday 1st October 2021

  • Anqi Liu
    Towards Trustworthy AI: Provably Robust Extrapolation for Decision Making
    Friday 18th June 2021

  • Benjamin Bloem-Reddy
    Invariance in machine learning methods: What, why, and then?
    Friday 14th May 2021

  • Hyeyoung Maeng
    High-dimensional trend segmentation
    Friday 14th May 2021

  • Giacomo Zanella
    Scalable computation for Bayesian hierarchical models
    Friday 7th May 2021

  • JM Sanz-Serna
    Friday 26th March 2021

  • Min Xu
    High-dimensional nonparametric density estimation via symmetry and shape constraints
    Friday 12th March 2021

  • Sam Hopkins
    Proofs to Algorithms in High-Dimensional Statistics (an introduction, with applications to Gaussian Mixture Models)
    Friday 12th March 2021

  • Laurence Aitchison
    A unified statistical theory of semi-supervised learning, out-of-distribution detection and the cold posterior effect.
    Friday 26th February 2021

  • Kengo Kamatani
    Non-reversible guided Metropolis kernel
    Friday 26th February 2021

  • Wenguang Sun
    A Locally Adaptive Weighting and Screening Approach To Spatial Multiple Testing
    Friday 12th February 2021

  • Taiji Suzuki
    Benefit of deep learning: Statistical efficiency and optimization guarantee with non-convex noisy gradient descent
    Friday 12th February 2021

  • Vladimir Vovk
    Conformal prediction and testing
    Friday 18th December 2020

  • Toru Kitagawa
    Constrained classification and policy learning
    Friday 18th December 2020

  • Gintare Karolina Dziugaite
    In Defence of Uniform Convergence: explaining generalization for interpolating predictors
    Friday 4th December 2020

  • Sidharth Jaggi
    Communication in the presence of adversarial jamming: The curious case of the erasure channel
    Friday 20th November 2020

  • Malgorzata Bogdan
    Recent developments on Sorted L-One Penalized Estimation.
    Friday 20th November 2020

  • Euan McGonigle
    (*TIME CHANGED) Modelling and estimation of nonstationary time series via wavelets and differencing
    Friday 6th November 2020

  • Arthur Gretton
    (*TIME CHANGED) Generalized Energy-Based Models
    Friday 6th November 2020

  • Mladen Kolar
    Statistical inference for high-dimensional differential networks
    Friday 23rd October 2020

  • Veronika Rockova
    Friday 23rd October 2020

  • Sam Power
    Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Jump Processes
    Friday 9th October 2020

  • Ross Booton, Katy Turner, Daniel Lawson
    Towards a statistical framework for epidemic trajectory modelling? South West England as a case study
    Friday 19th June 2020

  • Vassil Alexandrov
    Advanced Monte Carlo Methods for Linear Algebra on Advanced Computer Architectures
    Friday 22nd May 2020

  • Chris Oates
    Stein's Method in Computational Statistics
    Friday 24th April 2020

  • [Cancelled] Arthur Gretton
    Friday 27th March 2020

  • Oliver Johnson
    A proof of the Shepp--Olkin entropy monotonicity conjecture
    Friday 27th March 2020

  • Jia Chen
    [CANCELLED] Estimation and Inference in Heterogeneous Spatial Panel Data Models with a Multifactor Error Structure
    Friday 13th March 2020

  • Christian Robert
    ABC-Gibbs: componentwise approximate Bayesian computation
    Friday 28th February 2020

  • Marcelo Pereyra
    On convexity, regularisation, and Bayesian estimation in imaging inverse problems
    Friday 28th February 2020

  • Tony Lelievre
    Hybrid Monte Carlo methods for sampling probability measures on submanifolds
    Friday 14th February 2020

  • Sam Tickle
    Analysing global terrorism incidence using a new high-dimensional changepoint detection method
    Friday 14th February 2020

  • Jordan Franks
    Unbiased inference for discretely observed hidden Markov model diffusions
    Friday 31st January 2020

  • Weining Wang
    Inference of breakpoints in high-dimensional time series
    Friday 31st January 2020

  • Suhasini Subba Rao
    Reconciling the Gaussian and Whittle Likelihood with anapplication to estimation in the frequency domain
    Thursday 9th January 2020

  • Joshua Cape
    Networks, matrices, and geometry: the generalized random dot product graph model
    Thursday 19th December 2019

  • Andi Wang
    Regeneration-enriched Markov processes with application to Monte Carlo
    Friday 15th November 2019

  • Ioanna Manolopoulou
    Computationally efficient methods for Value of Information measures
    Friday 15th November 2019

  • Alexander Buchholz
    Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
    Friday 1st November 2019

  • Jonathan Huggins
    Using bagged posteriors for robust inference and model criticism
    Wednesday 23rd October 2019

  • Francois-Xavier Briol
    Statistical Inference for Generative Models with Maximum Mean Discrepancy
    Friday 18th October 2019

  • Lorenzo Rimella
    Exploiting locality in high-dimensional factorial hidden Markov models
    Friday 18th October 2019

  • Josua Gösmann
    Sequential change point detection
    Friday 4th October 2019

  • Yunxiao Chen
    A Latent Factor Model with a Nonnegative Component with Application to Cheating Detection in Educational Testing
    Friday 3rd May 2019

  • Alexey Onatskiy
    Spurious factor analysis
    Friday 3rd May 2019

  • Matt Nunes
    Complex-valued wavelet lifting transforms for signal processing
    Friday 29th March 2019

  • Daniel Paulin
    Connections between optimization and sampling
    Friday 29th March 2019

  • Konstantinos Fokianos
    Testing independence for multivariate time series via the auto-distance correlation matrix
    Friday 15th March 2019

  • Patrick Rebeschini
    On the Interplay between Statistics, Computation and Communication in Decentralised Learning
    Friday 15th March 2019

  • Richard Samworth
    Classification with imperfect training labels
    Friday 1st March 2019

  • Alexandra Carpentier
    Sparsity testing in the linear regression model
    Friday 1st March 2019

  • Sandipan Roy
    Network Heterogeneity and Strength of Connections
    Friday 15th February 2019

  • Rachael Hughes
    Selection bias when estimating average treatment effects using one-sample instrumental variable analysis
    Friday 15th February 2019

  • Simon Wood
    Smooth regression modelling
    Friday 1st February 2019

  • Rajen Shah
    Low-priced lunch in conditional independence testing
    Friday 30th November 2018

  • Michael Fop
    The Infinite Latent Position Cluster Model for Multivariate Networks
    Friday 30th November 2018

  • Tiangang Cui
    Optimization-based Sampling Approaches for Bayesian Inference
    Friday 23rd November 2018

  • Nicolas Chopin
    Noise contrastive estimation: asymptotics, comparison with MC-MLE
    Friday 23rd November 2018

  • Ioannis Kontoyiannis
    Identifying Temporal Structure in Discrete Time Series
    Friday 16th November 2018

  • Heather Battey
    Large numbers of explanatory variables
    Friday 16th November 2018

  • Kody Law
    Bayesian Static Parameter Estimation for Partially Observed Diffusions using Multilevel Monte Carlo
    Friday 19th October 2018

  • Catalina Vallejos
    Robust differential variability testing for single-cell RNA sequencing data
    Friday 19th October 2018

  • George Deligiannidis
    Friday 5th October 2018

  • Tobias Kley
    Model assessment for time series dynamics using copula spectral densities: a graphical tool
    Friday 5th October 2018

  • Matthew Dixon
    Takeuchi’s Information Criteria as a form of Regularization
    Friday 25th May 2018

  • Daniel Farewell
    Missing at random: a stochastic process perspective
    Friday 4th May 2018

  • Murray Pollock
    Monte Carlo Fusion: Unifying Distributed Analyses
    Friday 4th May 2018

  • Matteo Fasiolo
    Fast calibrated additive quantile regression
    Friday 20th April 2018

  • Sara Geneletti
    Identifying values for missing crime severity using constraints
    Friday 20th April 2018

  • Marco Banterle
    Bayesian inference on high-dimensional Seemingly Unrelated Regression, applied to metabolomics data
    Friday 23rd March 2018

  • Eike Mueller
    Multilevel Monte Carlo Methods in Atmospheric Dispersion Modelling
    Friday 23rd March 2018

  • Alexander Shestopaloff
    Sampling Latent States for High-Dimensional Non-Linear State Space Models with the Embedded HMM Method
    Friday 9th March 2018

  • Varun Jog
    Teaching and learning in uncertainty
    Friday 2nd March 2018

  • Zhe Sha
    Bayesian Hierarchical modelling of large scale geo-spatial processes
    Friday 26th January 2018

  • Daniel Williamson
    What if we’re looking in the wrong directions? Optimal calibration of computer models with spatio-temporal output
    Friday 26th January 2018

  • Richard Morey
    The fallacy of placing confidence in confidence intervals
    Friday 8th December 2017

  • Randal Douc
    Posterior consistency for partially observed Markov models
    Friday 8th December 2017

  • Ilaria Prosdocimi
    The use of historical data to estimate the frequency of rare events: some practical challenges
    Friday 24th November 2017

  • Remi Bardenet
    Monte Carlo with determinantal point processes
    Friday 24th November 2017

  • Koko Kayibi
    Sampling Contingency Tables
    Friday 10th November 2017

  • Sarah Heaps
    Identifying the effect of public holidays on daily demand for gas
    Friday 10th November 2017

  • Jere Koskela
    Scaling limits of sequential Monte Carlo genealogies
    Friday 27th October 2017

  • Sergio Bacallado
    Unbiased estimation and prediction in the hierarchical two-parameter Poisson-Dirichlet process
    Friday 27th October 2017

  • Benjamin Bloem-Reddy
    Preferential attachment, vertex arrival times, and probabilistic symmetries in random graphs
    Friday 13th October 2017

  • Theresa Smith
    Age-period-cohort models for cancer incidence and mortality
    Friday 13th October 2017

  • Clara Grazian
    A Flexible Bayesian Model for Clustering Seasonal Time Series With Linear and Circular Components
    Friday 29th September 2017

  • Kari Heine
    Parallelising particle filters with butterfly interactions
    Friday 29th September 2017

  • Alexandre Bouchard-Côté
    Monte Carlo without rejection
    Friday 28th April 2017