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Invited Talk
Tue 9:00 Reliable Predictions? Counterfactual Predictions? Equitable Treatment? Some Recent Progress in Predictive Inference
Emmanuel Candes
Oral
Tue 11:00 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth
Oral
Tue 12:15 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Tue 14:00 Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Xing Han · Sambarta Dasgupta · Joydeep Ghosh
Poster
Tue 14:00 Fast Adaptation with Linearized Neural Networks
Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou
Poster
Tue 14:00 Sharp Analysis of a Simple Model for Random Forests
Jason Klusowski
Poster
Tue 14:00 An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby · Xuandong Zhao · Yu-Xiang Wang
Poster
Tue 14:00 Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande
Poster
Tue 14:00 The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande
Poster
Tue 14:00 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori
Poster
Tue 14:00 Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee · Desik Rengarajan · Dileep Kalathil · Srinivas Shakkottai
Poster
Tue 14:00 A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan · Mehdi Abbana Bennani · Bogdan Mazoure · Guillaume Rabusseau · Pierre Alquier