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Spotlight
Wed 8:40 Coin Flipping Neural Networks
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Spotlight
Wed 11:40 Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Yohan Jung · Kyungwoo Song · Jinkyoo Park
Poster
Tue 15:30 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Poster
Tue 15:30 Fast Relative Entropy Coding with A* coding
Gergely Flamich · Stratis Markou · Jose Miguel Hernandez-Lobato
Poster
Tue 15:30 Continual Repeated Annealed Flow Transport Monte Carlo
Alexander Matthews · Michael Arbel · Danilo J. Rezende · Arnaud Doucet
Oral
Tue 13:15 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Poster
Thu 15:00 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
Poster
Tue 15:30 Low-Precision Stochastic Gradient Langevin Dynamics
Ruqi Zhang · Andrew Wilson · Christopher De Sa
Poster
Wed 15:30 Function-space Inference with Sparse Implicit Processes
Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato
Poster
Tue 15:30 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Lorenz Richter · Julius Berner
Poster
Wed 15:30 Coin Flipping Neural Networks
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Poster
Thu 15:00 Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi