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Tue 14:00 Regression Discontinuity Design under Self-selection
Sida Peng · Yang Ning
Tue 18:30 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Yoichi Chikahara · Shinsaku Sakaue · Akinori Fujino · Hisashi Kashima
Wed 6:00 An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
Tue 18:30 Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto · Tomoya Sakai · Takashi Takenouchi · Hisashi Kashima
Tue 18:30 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
Tue 18:30 Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
Kartik Ahuja · Karthikeyan Shanmugam · Amit Dhurandhar
Wed 12:45 Exploiting Equality Constraints in Causal Inference
Chi Zhang · Carlos Cinelli · Bryant Chen · Judea Pearl
Thu 7:30 Why did the distribution change?
Kailash Budhathoki · Dominik Janzing · Patrick Bloebaum · Hoiyi Ng
Wed 6:00 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar
Tue 14:00 Counterfactual Representation Learning with Balancing Weights
Serge Assaad · Shuxi Zeng · Chenyang Tao · Shounak Datta · Nikhil Mehta · Ricardo Henao · Fan Li · Lawrence Carin Duke
Wed 12:45 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Thu 7:30 High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald · Karthikeyan Shanmugam · Dmitriy Katz