21 citations · 119 across the 23 of their papers we have counts for
24 papers
Surrogate-powered Causal Inference with Censored Outcomes
Yaroslav Mukhin, Tereza Oprea, Arielle Anderer +2
Clinical trials with survival endpoints lose information when participants are censored before death is observed. We develop target-preserving estimators that use posttreatment dis…
Reinforcement Learning in MDPs with Information-Ordered Policies
Zhongjun Zhang, Shipra Agrawal, Ilan Lobel +2
Many operational Markov decision processes provide structured information where a trajectory generated under one policy may also reveal how other policies would have performed. We…
Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows
Yudong Chen, Xumei Xi, Christina Lee Yu
Matrix completion tackles the task of predicting missing values in a low-rank matrix based on a sparse set of observed entries. It is often assumed that the observation pattern is…
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling
Xumei Xi, Christina Lee Yu, Yudong Chen
Low-rank matrix completion concerns the problem of estimating unobserved entries in a matrix using a sparse set of observed entries. We consider the non-uniform setting where the o…
The SMART approach to instance-optimal online learning
Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu
We devise an online learning algorithm -- titled Switching via Monotone Adapted Regret Traces (SMART) -- that adapts to the data and achieves regret that is instance optimal, i.e.,…
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure
Xumei Xi, Christina Lee Yu, Yudong Chen
We consider offline Reinforcement Learning (RL), where the agent does not interact with the environment and must rely on offline data collected using a behavior policy. Previous wo…