Nemeth, Christopher

11 publications

JMLR 2025 Modelling Populations of Interaction Networks via Distance Metrics George Bolt, Simón Lunagómez, Christopher Nemeth

ICML 2024 Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds Daniel Dodd, Louis Sharrock, Christopher Nemeth

NeurIPS 2024 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows Alberto Cabezas, Louis Sharrock, Christopher Nemeth

ICML 2024 Position: Bayesian Deep Learning Is Needed in the Age of Large-Scale AI Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

AISTATS 2024 Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting Louis Sharrock, Daniel Dodd, Christopher Nemeth

ICML 2023 Coin Sampling: Gradient-Based Bayesian Inference Without Learning Rates Louis Sharrock, Christopher Nemeth

NeurIPS 2023 Learning Rate Free Sampling in Constrained Domains Louis Sharrock, Lester W. Mackey, Christopher Nemeth

AISTATS 2023 Preferential Subsampling for Stochastic Gradient Langevin Dynamics Srshti Putcha, Christopher Nemeth, Paul Fearnhead

AISTATS 2023 Transport Elliptical Slice Sampling Alberto Cabezas, Christopher Nemeth

NeurIPS 2019 Pseudo-Extended Markov Chain Monte Carlo Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman

NeurIPS 2018 Large-Scale Stochastic Sampling from the Probability Simplex Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth