2 citations · 2 across the 4 of their papers we have counts for
6 papers
Minimax optimal submatrix detection: Sharp non-asymptotic rates
Parker Knight, Julien Chhor
Given an observation from the model where is constant and has i.i.d. …
Latent Factor Point Processes for Patient Representation in Electronic Health Records
Parker Knight, Doudou Zhou, Zongqi Xia +2
Electronic health records (EHR) contain valuable longitudinal patient-level information, yet most statistical methods reduce the irregular timing of EHR codes into simple counts, t…
Optimal community detection in dense bipartite graphs
Julien Chhor, Parker Knight
We consider the problem of detecting a community of densely connected vertices in a high-dimensional bipartite graph of size . Under the null hypothesis, the observ…
Fast and robust invariant generalized linear models
Parker Knight, Ndey Isatou Jobe, Rui Duan
Statistical integration of diverse data sources is an essential step in the building of generalizable prediction tools, especially in precision health. The invariant features model…
Multi-Task Learning with Summary Statistics
Parker Knight, Rui Duan
Multi-task learning has emerged as a powerful machine learning paradigm for integrating data from multiple sources, leveraging similarities between tasks to improve overall model p…
Generalized Matrix Decomposition Regression: Estimation and Inference for Two-way Structured Data
Yue Wang, Ali Shojaie, Timothy W. Randolph +2
This paper studies high-dimensional regression with two-way structured data. To estimate the high-dimensional coefficient vector, we propose the generalized matrix decomposition re…