Organiser: Juliette Unwin
- Dr Jing Zhou
High-dimensional Newey-Powell Test via Approximate Message Passing
Friday 18th October 2024, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Dr Rebecca Lewis
High-dimensional logistic regression with separated data
Friday 1st November 2024, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Dr Michael Faulkner
Friday 15th November 2024, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Dr Francesco Serafini
Friday 29th November 2024, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Katerina Karoni
Friday 17th January 2025, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Dr Aakash Varambhia (Johnson Matthey)
Friday 31st January 2025, 2:00 pm – 3:00 pm
Fry Building, 2.04 - Dr Wentao Li
Friday 14th February 2025, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Dr François-Xavier Briol
Friday 28th February 2025, 1:00 pm – 2:00 pm
Fry Building, 2.04
Related Seminars:
- Dr Jing Zhou
High-dimensional Newey-Powell Test via Approximate Message Passing
Friday 18th October 2024, 1:00 pm – 2:00 pm
Fry Building, 2.04 - Sam Power
Friday 15th November 2024, 3:30 pm – 4:30 pm
Fry Building, 2.04 - Anthony Lee
Friday 29th November 2024, 3:30 pm – 4:30 pm
Fry Building, 2.04
Past Seminars:
- Dr Damian Ruck (Advai)
Friday 4th October 2024 - Dr Alexandra Blenkinsop
Bayesian models for characterising pathogen transmission dynamics from viral sequence data
Friday 20th September 2024 - 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
UNCERTAINTY QUANTIFICATION FOR BAYESIAN CART
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
