12 citations · 19 across the 8 of their papers we have counts for
8 papers
Buying Data of Unknown Quality: Statistical Information Procurement Auctions
Yuchen Hu, Martin J. Wainwright, Stephen Bates
We study statistical parameter estimation in the setting of data markets when providers differ in both provision costs and estimation-relevant data quality. We define a cost-per-in…
Optimal Targeting in Dynamic Systems
Yuchen Hu, Shuangning Li, Stefan Wager
Modern treatment targeting methods often rely on estimating a conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits…
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu, Xi Chen, Weidong Liu +1
Distributed stochastic optimization algorithms can simultaneously process large-scale datasets, significantly accelerating model training. However, their effectiveness is often hin…
Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
Ruohan Zhan, Shichao Han, Yuchen Hu +1
Online user-generated content platforms allocate billions of dollars of promotional traffic through algorithms in two-sided marketplaces. To evaluate updates to these algorithms, p…
Minimax-Regret Sample Selection in Randomized Experiments
Yuchen Hu, Henry Zhu, Emma Brunskill +1
Randomized controlled trials are often run in settings with many subpopulations that may have differential benefits from the treatment being evaluated. We consider the problem of s…
Switchback Experiments under Geometric Mixing
Yuchen Hu, Stefan Wager
The switchback is an experimental design that measures treatment effects by repeatedly turning an intervention on and off for a whole system. Switchback experiments are a robust wa…
Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability
Yuchen Hu, Stefan Wager
We consider off-policy evaluation of dynamic treatment rules under sequential ignorability, given an assumption that the underlying system can be modeled as a partially observed Ma…
Average Direct and Indirect Causal Effects under Interference
Yuchen Hu, Shuangning Li, Stefan Wager
We propose a definition for the average indirect effect of a binary treatment in the potential outcomes model for causal inference under cross-unit interference. Our definition is…