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stat.ML2025
Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Rong Wu, Ziqi Chen, Gen Li +1
Motivation: Biomedical studies increasingly produce multi-view high-dimensional datasets (e.g., multi-omics) that demand integrative analysis. Existing canonical correlation analys…
stat.ML2024
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang +4
Conditional independence (CI) testing is a fundamental task in modern statistics and machine learning. The conditional randomization test (CRT) was recently introduced to test whet…
stat.ML2024
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
Hai Shu
A typical approach to the joint analysis of multiple high-dimensional data views is to decompose each view's data matrix into three parts: a low-rank common-source matrix generated…