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Poster
Tue 18:30 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Yoichi Chikahara · Shinsaku Sakaue · Akinori Fujino · Hisashi Kashima
Poster
Tue 18:30 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
Poster
Tue 18:30 Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
Kartik Ahuja · Karthikeyan Shanmugam · Amit Dhurandhar
Poster
Wed 12:45 Exploiting Equality Constraints in Causal Inference
Chi Zhang · Carlos Cinelli · Bryant Chen · Judea Pearl
Poster
Thu 7:30 Why did the distribution change?
Kailash Budhathoki · Dominik Janzing · Patrick Bloebaum · Hoiyi Ng
Poster
Wed 6:00 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar
Poster
Wed 12:45 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Poster
Wed 6:00 Budgeted and Non-Budgeted Causal Bandits
Vineet Nair · Vishakha Patil · Gaurav Sinha
Poster
Thu 7:30 High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald · Karthikeyan Shanmugam · Dmitriy Katz
Poster
Tue 14:00 Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya · Tushar Nagarajan · Daniel Malinsky · Ilya Shpitser
Poster
Tue 14:00 Designing Transportable Experiments Under S-admissability
My Phan · David Arbour · Drew Dimmery · Anup Rao
Poster
Tue 18:30 Causal Inference with Selectively Deconfounded Data
Jingyi Gan · Andrew Li · Zachary Lipton · Sridhar Tayur