Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes.
CoRR, February, 2025
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
Trans. Mach. Learn. Res., 2024
Orthogonalized Estimation of Difference of Q-functions.
CoRR, 2024
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts.
CoRR, 2024
Reduced-Rank Multi-objective Policy Learning and Optimization.
CoRR, 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Report on the 2nd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022).
SIGecom Exch., 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders.
CoRR, 2023
Optimal and Fair Encouragement Policy Evaluation and Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination.
Manag. Sci., 2022
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret.
CoRR, 2022
Empirical Gateaux Derivatives for Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Stateful Offline Contextual Policy Evaluation and Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Minimax-Optimal Policy Learning Under Unobserved Confounding.
Manag. Sci., 2021
An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls.
CoRR, 2021
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Fairness, Welfare, and Equity in Personalized Pricing.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds.
CoRR, 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Confounding-Robust Policy Improvement.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data.
Proceedings of the 35th International Conference on Machine Learning, 2018
Policy Evaluation and Optimization with Continuous Treatments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
A Mixture Model and Task Allocation Scheme for Crowdsourcing.
CoRR, 2017