Angela Zhou

发表

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

Nathan Kallus, Angela Zhou, Nathan Kallus, 2019, ArXiv.

Cybernetics and human-computer interaction: Case studies of modern interface design

Angela Zhou, 2014, 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW).

iGo Green: A Life Cycle Assessment of Apple's iPhone

Christopher Lee, Jon Lee, Angela Zhou, 2015 .

Assessing algorithmic fairness with unobserved protected class using data combination

Xiaojie Mao, Nathan Kallus, Angela Zhou, 2019, FAT*.

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

Nathan Kallus, Angela Zhou, Nathan Kallus, 2019, NeurIPS.

Policy Evaluation and Optimization with Continuous Treatments

Nathan Kallus, Angela Zhou, Nathan Kallus, 2018, AISTATS.

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

Nathan Kallus, Angela Zhou, Nathan Kallus, 2020, NeurIPS.

A Mixture Model and Task Allocation Scheme for Crowdsourcing pdf

Karan Singh, Irineo Cabreros, Angela Zhou, 2017, ArXiv.

Confounding-Robust Policy Improvement

Nathan Kallus, Angela Zhou, Nathan Kallus, 2018, NeurIPS.

Dynamic Task Allocation for Crowdsourcing Settings

Karan Singh, Irineo Cabreros, Angela Zhou, 2017 .

Residual Unfairness in Fair Machine Learning from Prejudiced Data

Nathan Kallus, Angela Zhou, Nathan Kallus, 2018, ICML.

Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding

Xiaojie Mao, Nathan Kallus, Angela Zhou, 2018, AISTATS.

Stateful Offline Contextual Policy Evaluation and Learning pdf

Nathan Kallus, Angela Zhou, Nathan Kallus, 2021, AISTATS.

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

Xiaojie Mao, Nathan Kallus, Angela Zhou, 2021 .

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

Kristian Lum, Suresh Venkatasubramanian, Brian Brubach, 2021, ArXiv.

Minimax-Optimal Policy Learning Under Unobserved Confounding

Nathan Kallus, Angela Zhou, Nathan Kallus, 2020, Manag. Sci..

Do the right thing ” : machine learning and causal inference for improved decision making

Thorsten Joachims, David Sontag, Nathan Kallus, .

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

Nathan Kallus, Angela Zhou, 2020, NeurIPS.