Angela Zhou

is this you? claim profile

∙ 0 followers
cornell university

Fairness, Welfare, and Equity in Personalized Pricing

We study the interplay of fairness, welfare, and equity considerations i...
12/21/2020 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning

Off-policy evaluation of sequential decision policies from observational...
02/11/2020 ∙ by Nathan Kallus, et al. ∙ 8 ∙ share

read it
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

Personalized interventions in social services, education, and healthcare...
06/04/2019 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

The increasing impact of algorithmic decisions on people's lives compels...
06/01/2019 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

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

Where machine-learned predictive risk scores inform high-stakes decision...
02/15/2019 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding

We study the problem of learning conditional average treatment effects (...
10/05/2018 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Residual Unfairness in Fair Machine Learning from Prejudiced Data

Recent work in fairness in machine learning has proposed adjusting for f...
06/07/2018 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Confounding-Robust Policy Improvement

We study the problem of learning personalized decision policies from obs...
05/22/2018 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Policy Evaluation and Optimization with Continuous Treatments

We study the problem of policy evaluation and learning from batched cont...
02/16/2018 ∙ by Nathan Kallus, et al. ∙ 0 ∙ share

read it
Dynamic Task Allocation for Crowdsourcing Settings

We consider the problem of optimal budget allocation for crowdsourcing p...
01/30/2017 ∙ by Angela Zhou, et al. ∙ 0 ∙ share

read it

Angela Zhou

Featured Co-authors

Nathan Kallus

Karan Singh

Xiaojie Mao

Irineo Cabreros

Fairness, Welfare, and Equity in Personalized Pricing

Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

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

Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding

Residual Unfairness in Fair Machine Learning from Prejudiced Data

Confounding-Robust Policy Improvement

Policy Evaluation and Optimization with Continuous Treatments

Dynamic Task Allocation for Crowdsourcing Settings