Zhou, Angela

17 publications

NeurIPS 2025 Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards Bryan Wilder, Angela Zhou

TMLR 2024 Multi-Accurate CATE Is Robust to Unknown Covariate Shifts Christoph Kern, Michael P. Kim, Angela Zhou

AISTATS 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning Angela Zhou

NeurIPS 2023 Optimal and Fair Encouragement Policy Evaluation and Learning Angela Zhou

NeurIPSW 2023 Reward-Relevance-Filtered Linear Offline Reinforcement Learning Angela Zhou

NeurIPSW 2023 Robust Fitted-Q-Evaluation and Iteration Under Sequentially Exogenous Unobserved Confounders David Bruns-Smith, Angela Zhou

AISTATS 2022 Stateful Offline Contextual Policy Evaluation and Learning Nathan Kallus, Angela Zhou

NeurIPS 2022 Empirical Gateaux Derivatives for Causal Inference Michael I. Jordan, Yixin Wang, Angela Zhou

NeurIPS 2022 Off-Policy Evaluation with Policy-Dependent Optimization Response Wenshuo Guo, Michael I. Jordan, Angela Zhou

NeurIPSW 2022 Offline Evaluation in RL: Soft Stability Weighting to Combine Fitted Q-Learning and Model-Based Methods Briton Park, Carrie Wu, Bin Yu, Angela Zhou

NeurIPS 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning Nathan Kallus, Angela Zhou

NeurIPS 2019 Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds Nathan Kallus, Angela Zhou

AISTATS 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus, Xiaojie Mao, Angela Zhou

NeurIPS 2019 The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric Nathan Kallus, Angela Zhou

NeurIPS 2018 Confounding-Robust Policy Improvement Nathan Kallus, Angela Zhou

AISTATS 2018 Policy Evaluation and Optimization with Continuous Treatments Nathan Kallus, Angela Zhou

ICML 2018 Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus, Angela Zhou