Christopher Nemeth
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
3
Active years
2012–2024
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AISTATS | Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting. | Louis Sharrock, Daniel Dodd, Christopher Nemeth |
| 2024 | ICML | Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds. | Daniel Dodd, Louis Sharrock, Christopher Nemeth |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-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 Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2023 | AISTATS | Transport Elliptical Slice Sampling. | Alberto Cabezas, Christopher Nemeth |
| 2023 | AISTATS | Preferential Subsampling for Stochastic Gradient Langevin Dynamics. | Srshti Putcha, Christopher Nemeth, Paul Fearnhead |
| 2023 | ICML | Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates. | Louis Sharrock, Christopher Nemeth |
| 2012 | FUSION | Bearings-only tracking with particle filtering for joint parameter learning and state estimation. | Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova, Dave Vorley |