7 citations · 14 across the 4 of their papers we have counts for
7 papers
Learning to target with network interference
Xiaomeng Wang, Hamsa Bastani, Osbert Bastani +1
This paper studies adaptive targeting under network interference in a bandit setting, where treatments applied to one individual may affect others through spillover effects. We con…
Distributionally Robust Policy Learning under Concept Drifts
Jingyuan Wang, Zhimei Ren, Ruohan Zhan +1
Distributionally robust policy learning aims to find a policy that performs well under the worst-case distributional shift, and yet most existing methods for robust policy learning…
Transfer learning in genome-wide association studies with knockoffs
Shuangning Li, Zhimei Ren, Chiara Sabatti +1
This paper presents and compares alternative transfer learning methods that can increase the power of conditional testing via knockoffs by leveraging prior information in external…
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
During online decision making in Multi-Armed Bandits (MAB), one needs to conduct inference on the true mean reward of each arm based on data collected so far at each step. However,…
Derandomizing Knockoffs
Zhimei Ren, Yuting Wei, Emmanuel Candès
Model-X knockoffs is a general procedure that can leverage any feature importance measure to produce a variable selection algorithm, which discovers true effects while rigorously c…
Knockoffs with Side Information
Zhimei Ren, Emmanuel Candès
We consider the problem of assessing the importance of multiple variables or factors from a dataset when side information is available. In principle, using side information can all…