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stat.ML2023★ 4 cited
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Adam N. Elmachtoub, Henry Lam, Haofeng Zhang +1
In data-driven stochastic optimization, model parameters of the underlying distribution need to be estimated from data in addition to the optimization task. Recent literature consi…
stat.ML2023★ 1 cited
Balanced Off-Policy Evaluation for Personalized Pricing
Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao
We consider a personalized pricing problem in which we have data consisting of feature information, historical pricing decisions, and binary realized demand. The goal is to perform…
stat.ML2021★ 1 cited
Nuances in Margin Conditions Determine Gains in Active Learning
Samory Kpotufe, Gan Yuan, Yunfan Zhao
We consider nonparametric classification with smooth regression functions, where it is well known that notions of margin in determine fast or slow rates in both active and…