Angela Zhou

According to our database, Angela Zhou authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reward-Relevance-Filtered Linear Offline Reinforcement Learning.

Angela Zhou

CoRR, 2024

2023

Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders.

David Bruns-Smith, Angela Zhou

CoRR, 2023

Optimal and Fair Encouragement Policy Evaluation and Learning.

Angela Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination.

Nathan Kallus, Xiaojie Mao, Angela Zhou

Manag. Sci., 2022

A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret.

Connor Lawless, Angela Zhou

CoRR, 2022

Empirical Gateaux Derivatives for Causal Inference.

Michael I. Jordan, Yixin Wang, Angela Zhou

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.

Wenshuo Guo, Michael I. Jordan, Angela Zhou

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.

Nathan Kallus, Angela Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Minimax-Optimal Policy Learning Under Unobserved Confounding.

Nathan Kallus, Angela Zhou

Manag. Sci., 2021

An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls.

Angela Zhou, Andrew Koo, Nathan Kallus, Rene Ropac, Richard Peterson, Stephen Koppel, Tiffany Bergin

CoRR, 2021

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.

Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fairness, Welfare, and Equity in Personalized Pricing.

Nathan Kallus, Angela Zhou

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning.

Nathan Kallus, Angela Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds.

Nathan Kallus, Angela Zhou

CoRR, 2019

The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric.

Nathan Kallus, Angela Zhou

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.

Nathan Kallus, Angela Zhou

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.

Nathan Kallus, Xiaojie Mao, Angela Zhou

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Confounding-Robust Policy Improvement.

Nathan Kallus, Angela Zhou

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.

Nathan Kallus, Angela Zhou

Proceedings of the 35th International Conference on Machine Learning, 2018

Policy Evaluation and Optimization with Continuous Treatments.

Nathan Kallus, Angela Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A Mixture Model and Task Allocation Scheme for Crowdsourcing.

Irineo Cabreros, Karan Singh, Angela Zhou

CoRR, 2017