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