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Spotlight
Thu 11:55 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Poster
Tue 15:30 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Samuel Stanton · Wesley Maddox · Nate Gruver · Phillip Maffettone · Emily Delaney · Peyton Greenside · Andrew Wilson
Oral
Tue 8:10 Tractable Uncertainty for Structure Learning
Benjie Wang · Matthew Wicker · Marta Kwiatkowska
Oral
Tue 11:00 Online Active Regression
Cheng Chen · Yi Li · Yiming Sun
Poster
Thu 15:00 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Oral
Wed 7:30 How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
Spotlight
Wed 7:50 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Randy Ardywibowo · Zepeng Huo · Zhangyang “Atlas” Wang · Bobak Mortazavi · Shuai Huang · Xiaoning Qian
Poster
Thu 15:00 Active Nearest Neighbor Regression Through Delaunay Refinement
Alexander Kravberg · Giovanni Luca Marchetti · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Poster
Thu 15:00 Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Spotlight
Thu 13:00 Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Spotlight
Tue 10:55 A Tighter Analysis of Spectral Clustering, and Beyond
Peter Macgregor · He Sun
Poster
Tue 15:30 Online Active Regression
Cheng Chen · Yi Li · Yiming Sun