9 citations · 20 across the 8 of their papers we have counts for
11 papers
Sure Screening for Transelliptical Graphical Models
Yuxiang Xie, Chengchun Shi, Rui Song
We propose a sure screening approach for recovering the structure of a transelliptical graphical model in the high dimensional setting. We estimate the partial correlation graph by…
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Haoyu Chen, Wenbin Lu, Rui Song +1
Machine learning has become more important in real-life decision-making but people are concerned about the ethical problems it may bring when used improperly. Recent work brings th…
Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi, Runzhe Wan, Victor Chernozhukov +1
Off-policy evaluation learns a target policy's value with a historical dataset generated by a different behavior policy. In addition to a point estimate, many applications would be…
GEAR: On Optimal Decision Making with Auxiliary Data
Hengrui Cai, Rui Song, Wenbin Lu
Personalized optimal decision making, finding the optimal decision rule (ODR) based on individual characteristics, has attracted increasing attention recently in many fields, such…
Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Haoyu Chen, Wenbin Lu, Rui Song
Online decision making aims to learn the optimal decision rule by making personalized decisions and updating the decision rule recursively. It has become easier than before with th…
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Haoyu Chen, Wenbin Lu, Rui Song
Online decision-making problem requires us to make a sequence of decisions based on incremental information. Common solutions often need to learn a reward model of different action…