|
Poster
|
Tue 14:00 |
Regression Discontinuity Design under Self-selection Sida Peng · Yang Ning |
|
|
Poster
|
Tue 18:30 |
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint Yoichi Chikahara · Shinsaku Sakaue · Akinori Fujino · Hisashi Kashima |
|
|
Poster
|
Wed 6:00 |
An Analysis of the Adaptation Speed of Causal Models Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien |
|
|
Poster
|
Tue 18:30 |
Regret Minimization for Causal Inference on Large Treatment Space Akira Tanimoto · Tomoya Sakai · Takashi Takenouchi · 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
|
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 |
|
|
Poster
|
Wed 12:45 |
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi |
|
|
Poster
|
Thu 7:30 |
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald · Karthikeyan Shanmugam · Dmitriy Katz |