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Papers
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
UAI 2026
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
AAAI 2024
Approximate Causal Effect Identification under Weak Confounding
ICML 2023
Causal Bounds in Quasi-Markovian Graphs
ICML 2023
Scalable Computation of Causal Bounds
JMLR 2023
Bounds on Causal Effects and Application to High Dimensional Data
AAAI 2022
Scalable Computation of Causal Bounds
ICML 2022
Bounding Causal Effects on Continuous Outcome
AAAI 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
L4DC 2021
Causal Bounds and Observable Constraints for Non-deterministic Models
JMLR 2012