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Spotlight
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Tue 11:45
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Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Meyer Scetbon · Gabriel Peyré · Marco Cuturi
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Poster
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Tue 15:30
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Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Meyer Scetbon · Gabriel Peyré · Marco Cuturi
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Poster
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Wed 15:30
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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
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Spotlight
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Wed 13:35
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Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao · Jeffrey Pennington
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Spotlight
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Wed 10:55
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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
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Poster
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Wed 15:30
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Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao · Jeffrey Pennington
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Poster
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Thu 15:00
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Spotlight
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Thu 10:50
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Spotlight
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Tue 13:45
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Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
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Poster
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Tue 15:30
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Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
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Poster
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Wed 15:30
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Bayesian Deep Embedding Topic Meta-Learner
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
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Poster
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Tue 15:30
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A Tighter Analysis of Spectral Clustering, and Beyond
Peter Macgregor · He Sun
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