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Angela Zhou
Angela Zhou
Research Fellow at Simons Institute; Incoming Assistant Professor at USC Marshall School of Business
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Confounding-robust policy improvement
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 2018
1062018
Residual Unfairness in Fair Machine Learning from Prejudiced Data
N Kallus, A Zhou
ICML 2018, 2018
902018
Policy Evaluation and Optimization with Continuous Treatments
N Kallus, A Zhou
Proceedings of The 21st International Conference on Artificial Intelligence …, 2018
812018
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
N Kallus, X Mao, A Zhou
Management Science, 2020
722020
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
502019
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
422019
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 2020
222020
Minimax-optimal policy learning under unobserved confounding
N Kallus, A Zhou
Management Science 67 (5), 2870-2890, 2021
212021
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
202021
Participatory approaches to machine learning
B Kulynych, D Madras, S Milli, ID Raji, A Zhou, R Zemel
International Conference on Machine Learning Workshop, 2020
162020
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 3426-3437, 2019
152019
Fairness, Welfare, and Equity in Personalized Pricing
N Kallus, A Zhou
ACM Conference on Fairness, Accountability, and Transparency, 2021
122021
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
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