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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 |
Alternating Direction Method of Multipliers for Quantization Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn |
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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 |
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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 |
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk |
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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 |
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 |
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 |
Random Coordinate Underdamped Langevin Monte Carlo Zhiyan Ding · Qin Li · Jianfeng Lu · Stephen Wright |
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Poster
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Tue 14:00 |
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary Charles · Jakub Konečný |