| Confounding-robust policy improvement N Kallus, A Zhou Advances in Neural Information Processing Systems, 2018 | 106 | 2018 |
| Residual Unfairness in Fair Machine Learning from Prejudiced Data N Kallus, A Zhou ICML 2018, 2018 | 90 | 2018 |
| Policy Evaluation and Optimization with Continuous Treatments N Kallus, A Zhou Proceedings of The 21st International Conference on Artificial Intelligence …, 2018 | 81 | 2018 |
| Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination N Kallus, X Mao, A Zhou Management Science, 2020 | 72 | 2020 |
| Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding N Kallus, X Mao, A Zhou Proceedings of The 22nd International Conference on Artificial Intelligence …, 2019 | 50 | 2019 |
| The fairness of risk scores beyond classification: Bipartite ranking and the xauc metric N Kallus, A Zhou Advances in Neural Information Processing Systems, 3438-3448, 2019 | 42 | 2019 |
| Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning N Kallus, A Zhou Advances in Neural Information Processing Systems, 2020 | 22 | 2020 |
| Minimax-optimal policy learning under unobserved confounding N Kallus, A Zhou Management Science 67 (5), 2870-2890, 2021 | 21 | 2021 |
| It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks M Bao, A Zhou, S Zottola, B Brubach, S Desmarais, A Horowitz, K Lum, ... Advances in Neural Information Processing Systems, Datasets and Benchmarks 2021, 2021 | 20 | 2021 |
| Participatory approaches to machine learning B Kulynych, D Madras, S Milli, ID Raji, A Zhou, R Zemel International Conference on Machine Learning Workshop, 2020 | 16 | 2020 |
| Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds N Kallus, A Zhou Advances in Neural Information Processing Systems, 3426-3437, 2019 | 15 | 2019 |
| Fairness, Welfare, and Equity in Personalized Pricing N Kallus, A Zhou ACM Conference on Fairness, Accountability, and Transparency, 2021 | 12 | 2021 |
| Off-Policy Evaluation with Policy-Dependent Optimization Response W Guo, M Jordan, A Zhou https://arxiv.org/abs/2202.12958, 2022 | | 2022 |
| Stateful Offline Contextual Policy Evaluation and Learning N Kallus, A Zhou Proceedings of The 25nd International Conference on Artificial Intelligence …, 2022 | | 2022 |
| An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls A Zhou, A Koo, N Kallus, R Ropac, R Peterson, S Koppel, T Bergin Available at SSRN 3964067, 2021 | | 2021 |
| Dynamic Task Allocation for Crowdsourcing Settings A Zhou, I Cabreros, K Singh arXiv preprint arXiv:1701.08795, 2017 | | 2017 |
