Angela Zhou

According to our database1, Angela Zhou authored at least 13 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Minimax-Optimal Policy Learning Under Unobserved Confounding.
Manag. Sci., 2021

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.
CoRR, 2021

Fairness, Welfare, and Equity in Personalized Pricing.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Assessing algorithmic fairness with unobserved protected class using data combination.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds.
CoRR, 2019

The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric.
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.
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.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Confounding-Robust Policy Improvement.
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.
Proceedings of the 35th International Conference on Machine Learning, 2018

Policy Evaluation and Optimization with Continuous Treatments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A Mixture Model and Task Allocation Scheme for Crowdsourcing.
CoRR, 2017


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