
-
Fairness, Welfare, and Equity in Personalized Pricing
We study the interplay of fairness, welfare, and equity considerations i...
read it
-
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
Off-policy evaluation of sequential decision policies from observational...
read it
-
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Personalized interventions in social services, education, and healthcare...
read it
-
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
The increasing impact of algorithmic decisions on people's lives compels...
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...
read it
-
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
We study the problem of learning conditional average treatment effects (...
read it
-
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Recent work in fairness in machine learning has proposed adjusting for f...
read it
-
Confounding-Robust Policy Improvement
We study the problem of learning personalized decision policies from obs...
read it
-
Policy Evaluation and Optimization with Continuous Treatments
We study the problem of policy evaluation and learning from batched cont...
read it
-
Dynamic Task Allocation for Crowdsourcing Settings
We consider the problem of optimal budget allocation for crowdsourcing p...
read it