24 citations · 112 across the 21 of their papers we have counts for
21 papers
From Seeds to Semantics: Measuring Semantic Accessibility in Deterministic Diffusion Models
Wei Wei, Yizhou Zeng, Kuntian Chen +3
Diffusion models generate samples through a sequence of learned denoising steps, and recent work has studied how semantic structure appears along this sampling process. We study th…
Robust Data Fusion via Subsampling
Jing Wang, HaiYing Wang, Kun Chen
Data fusion and transfer learning are rapidly growing fields that enhance model performance for a target population by leveraging other related data sources or tasks. The challenge…
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso
Jianmin Chen, Kun Chen
The generalized lasso is a natural generalization of the celebrated lasso approach to handle structural regularization problems. Many important methods and applications fall into t…
It's All Relative: New Regression Paradigm for Microbiome Compositional Data
Gen Li, Yan Li, Kun Chen
Microbiome data are complex in nature, involving high dimensionality, compositionally, zero inflation, and taxonomic hierarchy. Compositional data reside in a simplex that does not…
The More Data, the Better? Demystifying Deletion-Based Methods in Linear Regression with Missing Data
Tianchen Xu, Kun Chen, Gen Li
We compare two deletion-based methods for dealing with the problem of missing observations in linear regression analysis. One is the complete-case analysis (CC, or listwise deletio…
Generalized Co-sparse Factor Regression
Aditya Mishra, Dipak K. Dey, Yong Chen +1
Multivariate regression techniques are commonly applied to explore the associations between large numbers of outcomes and predictors. In real-world applications, the outcomes are o…