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Invited Talk
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Tue 9:00 |
Reliable Predictions? Counterfactual Predictions? Equitable Treatment? Some Recent Progress in Predictive Inference Emmanuel Candes |
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Oral
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Tue 11:00 |
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth |
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Oral
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Tue 12:15 |
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences Mucong Ding · Constantinos Daskalakis · Soheil Feizi |
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Poster
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Tue 14:00 |
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits Avishek Ghosh · Abishek Sankararaman · Ramchandran Kannan |
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Poster
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Tue 14:00 |
On the Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari · Daniel Russo |
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Poster
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Tue 14:00 |
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori |
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Poster
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Tue 14:00 |
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath · Akilesh Tangella · Danica Sutherland · Nathan Srebro |
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Poster
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Tue 14:00 |
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande |
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Poster
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Tue 14:00 |
Fast Adaptation with Linearized Neural Networks Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou |
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Poster
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Tue 14:00 |
Training a Single Bandit Arm Eren Ozbay · Vijay Kamble |
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Poster
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Tue 14:00 |
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande |
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Poster
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Tue 14:00 |
An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby · Xuandong Zhao · Yu-Xiang Wang |