Gradient Flows

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Blog post on NeurIPS 2024 paper - Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

October 2024 · Alberto Cabezas-Gonzalez, Louis Sharrock, Christopher Nemeth

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

NeurIPS 2024 (to appear)

October 2024 · Alberto Cabezas, Louis Sharrock, Christopher Nemeth

Control Variate-based Stochastic Sampling from the Probability Simplex

arXiv preprint

October 2024 · Francesco Barile, Christopher Nemeth

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters

arXiv preprint

August 2024 · Thomas Newman, Christopher Nemeth, Matthew Jones, Philip Jonathan

Metropolis-Hastings with Scalable Subsampling

arXiv preprint

July 2024 · Estevao Prado, Christopher Nemeth, Chris Sherlock

Diffusion Generative Modelling for Divide-and-Conquer MCMC

arXiv preprint

June 2024 · Connie Trojan, Paul Fearnhead, Christopher Nemeth

Robust Bayesian Nonparametric Variable Selection for Linear Regression

Stat

May 2024 · Alberto Cabezas, Marco Battiston, Christopher Nemeth

Spatial Latent Gaussian Modelling with Change of Support

arXiv preprint

March 2024 · Erick Chacón-Montalván, Peter Atkinson, Christopher Nemeth, Ben Taylor, Paula Moraga

Latent space modelling of hypergraph data

Journal of the American Statistical Association

December 2023 · Kathryn Turnbull, Simon Lunagómez, Christopher Nemeth, Eduardo Airoldi

SwISS: A scalable Markov chain Monte Carlo divide-and-conquer strategy

Stat

December 2023 · Callum Vyner, Christopher Nemeth, Chris Sherlock

Stochastic Gradient MCMC for Nonlinear State Space Models

Bayesian Analysis

June 2023 · Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox

Modelling Populations of Interaction Networks via Distance Metrics

arXiv preprint

June 2022 · George Bolt, Simon Lunagomez, Christopher Nemeth

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

Journal of Open Source Software

April 2022 · Jeremie Coullon, Christopher Nemeth

Stochastic Gradient Markov Chain Monte Carlo

Journal of the American Statistical Association

January 2021 · Christopher Nemeth, Paul Fearnhead

Pseudo-extended Markov chain Monte Carlo

Neural Information Processing Systems (NeurIPS)

December 2019 · Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman

sgmcmc: An R package for stochastic gradient Markov chain Monte Carlo

Journal of Statistical Software

October 2019 · Jack Baker, Paul Fearnhead, Emily B Fox, Christopher Nemeth

Control variates for stochastic gradient MCMC

Statistics and Computing

May 2019 · Jack Baker, Paul Fearnhead, Emily B Fox, Christopher Nemeth

Merging MCMC Subposteriors through Gaussian-Process Approximations

Bayesian Analysis

June 2018 · Christopher Nemeth, Chris Sherlock