|
Poster
|
Tue 9:00 |
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill · Erik Nijkamp · Jonathan Mitchell · Bo Pang · Song-Chun Zhu |
|
|
Poster
|
Thu 9:00 |
Multi-fidelity Monte Carlo: a pseudo-marginal approach Diana Cai · Ryan Adams |
|
|
Poster
|
Tue 14:00 |
Continuously Tempered PDMP samplers Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead |
|
|
Poster
|
Tue 14:00 |
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network SIQI LIANG · Yan Sun · Faming Liang |
|
|
Poster
|
Thu 14:00 |
Nonlinear MCMC for Bayesian Machine Learning James Vuckovic |
|
|
Poster
|
Tue 9:00 |
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines |
|
|
Poster
|
Tue 14:00 |
Local-Global MCMC kernels: the best of both worlds Sergey Samsonov · Evgeny Lagutin · Marylou Gabrié · Alain Durmus · Alexey Naumov · Eric Moulines |
|
|
Poster
|
Wed 9:00 |
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers Ganchao Wei · Ian H Stevenson · Xiaojing Wang |
|
|
Poster
|
Thu 9:00 |
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun · Hanjun Dai · Dale Schuurmans |
|
|
Poster
|
Thu 9:00 |
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet · Will Grathwohl · Alexander Matthews · Heiko Strathmann |
|
|
Poster
|
Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao |
||
|
Poster
|
Thu 14:00 |
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina · Max Welling · Jakub Tomczak |