496 citations · 1.4k across the 47 of their papers we have counts for
49 papers
Noisy Matrix Completion under Informative Missingness
Xuanyu Chen, Xiaoyue Niu, Gongjun Xu +1
Noisy matrix completion is a fundamental problem in statistical learning and has attracted a substantial amount of interest over the last two decades. In a variety of applications,…
Hypergraph Representation Learning with Hyperlink Random Effects
Zimeng Li, Shihao Wu, Gongjun Xu +1
Hypergraphs record multi-way interactions among entities. Extracting information from the combinatorial structure underlying observed multi-way interactions is a central task in ma…
Conformal Prediction for Dyadic Regression Under Complex Missingness
Robert Lunde, Minjie Yang, Elizaveta Levina +1
We develop a framework for conformal prediction in dyadic regression problems under complex missingness mechanisms. At the theoretical level, we develop general technical tools for…
Theoretical Analysis of Engression and Reverse Markov Engression
Jiaqi Huang, Gongjun Xu, Ji Zhu
Engression is a recently proposed and effective framework for conditional distribution learning. Its multi-step Reverse Markov extension further improves generative flexibility by…
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
Feifan Jiang, Yinan Bu, Shihao Wu +2
Network data are ubiquitous across the social sciences, biology, and information systems. Generating realistic synthetic network data has broad applications from network simulation…
Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance
Simon Fontaine, Nisha J. D'Silva, Marcell Costa de Medeiros +3
Differential abundance (DA) analysis in microbiome studies has recently been used to uncover a plethora of associations between microbial composition and various health conditions.…