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Poster
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Wed 9:00
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Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
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Spotlight
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Thu 7:50
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Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
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Poster
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Thu 9:00
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Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
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Spotlight
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Tue 20:20
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Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
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Poster
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Tue 21:00
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Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
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Poster
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Mon 21:00
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Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
Yingjie Wang · Hong Chen · Feng Zheng · Chen Xu · Tieliang Gong · Yanhong Chen
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Spotlight
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Mon 19:50
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Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
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Poster
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Thu 9:00
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Efficient Low Rank Gaussian Variational Inference for Neural Networks
Marcin Tomczak · Siddharth Swaroop · Richard Turner
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Poster
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Tue 21:00
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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen · Zijian Zhou · Zheng Wang · Che Wang · Yanqiu Wu · Keith Ross
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Spotlight
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Tue 19:50
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Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
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Poster
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Thu 9:00
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Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih · Stefano Ermon
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Poster
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Mon 21:00
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Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
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