Search All 2022 Events
 

18 Results

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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 GabriĆ© · 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