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Poster
Tue 14:00 Parallel Tempering With a Variational Reference
Nikola Surjanovic · Saifuddin Syed · Alexandre Bouchard-Côté · Trevor Campbell
Poster
Thu 9:00 Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai · Ryan Adams
Poster
Thu 14:00 Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
Poster
Tue 14:00 Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Cian Naik · Judith Rousseau · Trevor Campbell
Poster
Tue 14:00 Continuously Tempered PDMP samplers
Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead
Poster
Fixed-Distance Hamiltonian Monte Carlo
Hadi Mohasel Afshar · Sally Cripps
Poster
Tue 14:00 BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson
Poster
Thu 9:00 Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
Poster
Thu 14:00 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
Poster
Wed 9:00 Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
Poster
Wed 9:00 Policy Gradient With Serial Markov Chain Reasoning
Edoardo Cetin · Oya Celiktutan
Poster
Thu 9:00 A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell · Joe Benton · Valentin De Bortoli · Thomas Rainforth · George Deligiannidis · Arnaud Doucet