4 citations · 6 across the 5 of their papers we have counts for
5 papers
The Evidence Ladder for Reinforcement Learning in Healthcare: From Retrospective Policies to Trusted Interventions
Yunfan Zhao
Reinforcement learning (RL) offers a natural language for healthcare decisions whose conse- quences unfold over time, yet most reported progress remains far from routine interventi…
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…
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…
Implicit Two-Tower Policies
Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski +2
We present a new class of structured reinforcement learning policy-architectures, Implicit Two-Tower (ITT) policies, where the actions are chosen based on the attention scores of t…
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…