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Poster	Tue 8:30	Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
Workshop		Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu · Xiaogang Jia · Masayoshi TOMIZUKA · Wei Zhan
Poster	Tue 8:30	The Causal-Neural Connection: Expressiveness, Learnability, and Inference Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Poster	Thu 8:30	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar
Poster	Thu 0:30	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Workshop		A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments Abhishek Kumar Umrawal
Workshop		Desiderata for Representation Learning: A Causal Perspective Yixin Wang · Michael Jordan
Workshop		Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy · Aditya Grover · Stefano Ermon
Workshop		Causal Expectation-Maximisation Marco Zaffalon · Alessandro Antonucci · Rafael Cabañas
Workshop		Scalable Causal Domain Adaptation Mohammad Ali Javidian · Om Pandey · Pooyan Jamshidi
Workshop		Reliable causal discovery based on mutual information supremum principle for finite datasets Vincent Cabeli · Honghao Li · Marcel da Câmara Ribeiro Dantas · Herve Isambert
Workshop		Learning preventative and generative causal structures from point events in continuous time Tianwei Gong