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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
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
Poster
Tue 8:30 The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Workshop
A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments
Abhishek Kumar Umrawal
Workshop
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu · Xiaogang Jia · Masayoshi TOMIZUKA · Wei Zhan
Poster
Thu 0:30 MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Workshop
Tue 17:30 What Would the Expert do(⋅)?: Causal Imitation Learning (Gokul Swamy)
Gokul Swamy
Affinity Workshop
Fri 6:35 Contributed talk #3 - Causal meta-learning by making informative interventions about the functional form, Chentian Jiang
Chentian Jiang
Workshop
Mon 9:30 The Many Roles that Causal Reasoning Plays in Reasoning about Fairness in Machine Learning
Irene Y Chen · Hal Daumé III · Solon Barocas
Workshop
Task-Independent Causal State Abstraction
Zizhao Wang · Xuesu Xiao · Yuke Zhu · Peter Stone
Workshop
Mon 3:40 Achieving Counterfactual Fairness for Causal Bandit
Wen Huang · Lu Zhang · Xintao Wu
Workshop
Causality with Susan Athey, Konrad Kording, Amit Sharma
Susan Athey · Konrad Kording · Amit Sharma · Emre Kiciman