9 papers
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
Yuming Zhang, Congyuan Duan, Dong Xia +2
Multi-institutional electronic health record (Multi-EHR) data have emerged as a powerful resource for developing predictive models to support clinical decisions and for generating…
Prediction-powered Inference by Mixture of Experts
Yanwu Gu, Linglong Kong, Dong Xia
The rapidly expanding artificial intelligence (AI) industry has produced diverse yet powerful prediction tools, each with its own network architecture, training strategy, data-proc…
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…
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…
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.…
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
Wanteng Ma, Dong Xia
This paper presents a simple yet efficient method for statistical inference of tensor linear forms using incomplete and noisy observations. Under the Tucker low-rank tensor model a…
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy, Dong Xia, Ming Yuan
Large amount of multidimensional data represented by multiway arrays or tensors are prevalent in modern applications across various fields such as chemometrics, genomics, physics,…
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…
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…