Christopher Nemeth

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Bayesian Inference

Decision Support

Stochastic Gradient

Top Venues

Publications

Paul Fearnhead, Sebastiano Grazzi, Christopher Nemeth, Gareth O. Roberts
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers. CoRR (2024)
Alberto Cabezas, Louis Sharrock, Christopher Nemeth
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows. CoRR (2024)
Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock
Scalable Monte Carlo for Bayesian Learning. CoRR (2024)
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. 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
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Daniel Dodd, Louis Sharrock, Christopher Nemeth
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds. CoRR (2024)
Louis Sharrock, Daniel Dodd, Christopher Nemeth
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting. AISTATS (2024)
C. Trojan, Paul Fearnhead, Christopher Nemeth
Diffusion Generative Modelling for Divide-and-Conquer MCMC. CoRR (2024)
Jeremie Coullon, Leah F. South, Christopher Nemeth
Efficient and generalizable tuning strategies for stochastic gradient MCMC. Stat. Comput. 33 (3) (2023)
Louis Sharrock, Lester Mackey, Christopher Nemeth
Learning Rate Free Bayesian Inference in Constrained Domains. NeurIPS (2023)
Louis Sharrock, Daniel Dodd, Christopher Nemeth
CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models. CoRR (2023)
Alberto Cabezas, Christopher Nemeth
Transport Elliptical Slice Sampling. AISTATS (2023)
Louis Sharrock, Christopher Nemeth
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates. ICML (2023)
Srshti Putcha, Christopher Nemeth, Paul Fearnhead
Preferential Subsampling for Stochastic Gradient Langevin Dynamics. AISTATS (2023)
Louis Sharrock, Lester Mackey, Christopher Nemeth
Learning Rate Free Bayesian Inference in Constrained Domains. CoRR (2023)
Louis Sharrock, Christopher Nemeth
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates. CoRR (2023)
Kathryn Turnbull, Christopher Nemeth, Matthew A. Nunes, Tyler McCormick
Sequential estimation of temporally evolving latent space network models. Comput. Stat. Data Anal. 179 (2023)
Srshti Putcha, Christopher Nemeth, Paul Fearnhead
Preferential Subsampling for Stochastic Gradient Langevin Dynamics. CoRR (2022)
Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder
Language. J. Stat. Softw. 102 (1) (2022)
Jeremie Coullon, Christopher Nemeth
SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms. J. Open Source Softw. 7 (72) (2022)
Thomas Pinder, Kathryn Turnbull, Christopher Nemeth, David Leslie
Gaussian Processes on Hypergraphs. CoRR (2021)
Christopher Nemeth, Adam Amos-Binks, Natalie Keeney, Yuliya Pinevich, Gregory Rule, Dawn Laufersweiler, Isaac Flint, Vitaly Herasevich
Decision Support for Prolonged, and Tactical Combat Casualty Care. HCI (4) (2021)
Yuliya Pinevich, Adam Amos-Binks, Christie S. Burris, Gregory Rule, Brian W. Pickering, Christopher Nemeth, Vitaly Herasevich
Sensitivity Analysis of Input Variables of Shock Detection Model. AMIA (2020)
Thomas Pinder, Christopher Nemeth, David Leslie
Stein Variational Gaussian Processes. CoRR (2020)
Christopher Nemeth, Adam Amos-Binks, Yuliya Pinevich, Christie S. Burris, Natalie Keeney, Gregory Rule, Brian W. Pickering, Dawn Laufersweiler, Vitaly Herasevich
Training and Decision Support for Battlefield Trauma Care. SMC (2020)
Christopher Nemeth, Brian W. Pickering, Adam Amos-Binks, Andrew M. Harrison, Yuliya Pinevich, Ryan Lowe, Gregory Rule, Dawn Laufersweiler, Vitaly Herasevich
Trauma Care Decision Support Under Fire. SMC (2019)
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
Control variates for stochastic gradient MCMC. Stat. Comput. 29 (3) (2019)
Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman
Pseudo-Extended Markov chain Monte Carlo. NeurIPS (2019)
Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox
Stochastic Gradient MCMC for Nonlinear State Space Models. CoRR (2019)
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
Large-Scale Stochastic Sampling from the Probability Simplex. CoRR (2018)
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
Large-Scale Stochastic Sampling from the Probability Simplex. NeurIPS (2018)
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
Control Variates for Stochastic Gradient MCMC. CoRR (2017)
Christopher Nemeth, Josh Blomberg, Christopher Argenta, Jeremy C. Pamplin, José Salinas, Maria Serio-Melvin
Support for Salience: IT to Assist Burn ICU Clinician Decision Making and Communication. SMC (2015)
Christopher Nemeth, Shilo Anders, Anna Grome, Beth Crandall, Cynthia Dominguez, Jeremy C. Pamplin, Elizabeth Mann-Salinas, Maria Serio-Melvin
Support for ICU resilience using Cognitive Systems Engineering to build adaptive capacity. SMC (2014)
Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova
Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments. IEEE Trans. Signal Process. 62 (5) (2014)
Christopher Nemeth
Erik Hollnagel: FRAM: The functional resonance analysis method, modeling complex socio-technical systems - 2012, Ashgate, ISBN 978-1-4094-4551-7, Paperback, £20.00, ISBN 978-1-4094-4552-4, Hardcover, £65.00. Cogn. Technol. Work. 15 (1) (2013)
Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova, Dave Vorley
Bearings-only tracking with particle filtering for joint parameter learning and state estimation. FUSION (2012)
Wayne Zachary, Robert R. Hoffman, Beth Crandall, Tom Miller, Christopher Nemeth
"Rapidized" cognitive task analysis. IEEE Intell. Syst. 27 (2) (2012)
Christopher Nemeth, Robert Strouse, Michelle Ter Maath, C. Matthew O'Connor
Acquiring cognition: Adding human-centered design to Navy system development. SMC (2011)