5 papers · 1 filter
Nonparametric Regression in Dirichlet Spaces: A Random Obstacle Approach
Prem Talwai, David Simchi-Levi
In this paper, we consider nonparametric estimation over general Dirichlet metric measure spaces. Unlike the more commonly studied reproducing kernel Hilbert space, whose elements…
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…
Two-stage Online Reusable Resource Allocation: Reservation, Overbooking and Confirmation Call
Ruicheng Ao, Hengyu Fu, David Simchi-levi
We study a two-stage online reusable resource allocation problem over T days involving advance reservations and walk-ins. Each day begins with a reservation stage (Stage I), where…
Privacy Preserving Adaptive Experiment Design
Jiachun Li, Kaining Shi, David Simchi-Levi
Adaptive experiment is widely adopted to estimate conditional average treatment effect (CATE) in clinical trials and many other scenarios. While the primary goal in experiment is t…