7 papers
Multiple Testing of Linear Forms for Noisy Matrix Completion
Wanteng Ma, Lilun Du, Dong Xia +1
Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion. These problems, however, present unique…
Conformal Network Link Prediction with False Discovery Rate Control under Unstructured Missingness
Wenqin Du, Wanteng Ma, Dong Xia +2
We propose a new method for predicting multiple missing links in partially observed networks while controlling the false discovery rate (FDR), a largely unresolved challenge in net…
Nonparametric Bandits with Single-Index Rewards: Optimality and Adaptivity
Wanteng Ma, T. Tony Cai
Contextual bandits are a central framework for sequential decision-making, with applications ranging from recommendation systems to clinical trials. While nonparametric methods can…
Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
Congyuan Duan, Wanteng Ma, Dong Xia +1
This paper studies decision-making and statistical inference for two-sided matching markets via matrix completion. In contrast to the independent sampling assumed in classical matr…
High-dimensional Linear Bandits with Knapsacks
Wanteng Ma, Dong Xia, Jiashuo Jiang
We investigate the contextual bandits with knapsack (CBwK) problem in a high-dimensional linear setting, where the feature dimension can be very large. Our goal is to harness spars…
Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates
Congyuan Duan, Wanteng Ma, Jiashuo Jiang +1
This paper investigates regret minimization, statistical inference, and their interplay in high-dimensional online decision-making based on the sparse linear context bandit model.…