4 papers · 1 filter
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
Hongyu Chen, David Simchi-Levi, Ruoxuan Xiong
Estimating population quantities such as mean outcomes from user feedback is fundamental to platform evaluation and social science, yet feedback is often missing not at random (MNA…
Adaptive Inference for Resource-Constrained Dynamic Pricing
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
We study resource-constrained dynamic pricing when the seller seeks revenue and valid inference about demand at a price fixed before the selling season. Depletion can remove every…
Prediction-Guided Active Experiments
Ruicheng Ao, Hongyu Chen, David Simchi-Levi
In this work, we introduce a new framework for active experimentation, the Prediction-Guided Active Experiment (PGAE), which leverages predictions from an existing machine learning…
Optimal Adaptive Experimental Design for Estimating Treatment Effect
Jiachun Li, David Simchi-Levi, Yunxiao Zhao
Given n experiment subjects with potentially heterogeneous covariates and two possible treatments, namely active treatment and control, this paper addresses the fundamental questio…