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Poster
Wed 9:00 Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
Poster
Wed 9:00 Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
Poster
Wed 9:00 Applications of Common Entropy for Causal Inference
Murat Kocaoglu · Sanjay Shakkottai · Alex Dimakis · Constantine Caramanis · Sriram Vishwanath
Poster
Wed 9:00 Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
Poster
Wed 9:00 Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello · Pierfrancesco Ardino · Jacopo Gobbi · Paolo Morettin · Stefano Teso · Andrea Passerini
Poster
Wed 9:00 Entropic Causal Inference: Identifiability and Finite Sample Results
Spencer Compton · Murat Kocaoglu · Kristjan Greenewald · Dmitriy Katz
Poster
Thu 9:00 Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
Spotlight
Thu 7:50 Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
Poster
Mon 21:00 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
Yingjie Wang · Hong Chen · Feng Zheng · Chen Xu · Tieliang Gong · Yanhong Chen
Poster
Mon 21:00 Independent Policy Gradient Methods for Competitive Reinforcement Learning
Constantinos Daskalakis · Dylan Foster · Noah Golowich
Poster
Wed 9:00 Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski · Daniel Coelho de Castro · Ben Glocker