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Angela Zhou
Angela Zhou
Assistant Professor at University of Southern California, Data Sciences and Operations
Verifierad e-postadress på marshall.usc.edu - Startsida
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Confounding-robust policy improvement
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 2018
1632018
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
N Kallus, X Mao, A Zhou
Management Science, 2020
1572020
Residual Unfairness in Fair Machine Learning from Prejudiced Data
N Kallus, A Zhou
ICML 2018, 2018
1512018
Policy Evaluation and Optimization with Continuous Treatments
N Kallus, A Zhou
Proceedings of The 21st International Conference on Artificial Intelligence …, 2018
1252018
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
962019
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
892021
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
712019
Minimax-optimal policy learning under unobserved confounding
N Kallus, A Zhou
Management Science 67 (5), 2870-2890, 2021
572021
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 2020
502020
Participatory approaches to machine learning
B Kulynych, D Madras, S Milli, ID Raji, A Zhou, R Zemel
International Conference on Machine Learning Workshop, 2020
372020
Fairness, Welfare, and Equity in Personalized Pricing
N Kallus, A Zhou
ACM Conference on Fairness, Accountability, and Transparency, 2021
332021
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
N Kallus, A Zhou
Advances in Neural Information Processing Systems, 3426-3437, 2019
262019
Stateful Offline Contextual Policy Evaluation and Learning
N Kallus, A Zhou
Proceedings of The 25nd International Conference on Artificial Intelligence …, 2022
72022
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
D Bruns-Smith, A Zhou
https://arxiv.org/abs/2302.00662, 2023
52023
Off-Policy Evaluation with Policy-Dependent Optimization Response
W Guo, MI Jordan, A Zhou
Accepted at Neurips 2022, 2022
52022
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
Statistics and Public Policy, 2023
42023
Data-Driven Influence Functions for Optimization-Based Causal Inference
MI Jordan, Y Wang, A Zhou
arXiv preprint arXiv:2208.13701, conference version "Empirical Gateaux …, 2022
4*2022
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret
C Lawless, A Zhou
https://arxiv.org/abs/2211.05116, 2022
22022
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
A Zhou
https://arxiv.org/pdf/2401.12934.pdf, 2024
2024
Optimal and Fair Encouragement Policy Evaluation and Learning
A Zhou
Neurips 2023, https://arxiv.org/abs/2309.07176, 2023
2023
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Artiklar 1–20