2 citations · 2 across the 2 of their papers we have counts for
4 papers
Lower Ricci Curvature for Efficient Community Detection
Yun Jin Park, Didong Li
This study introduces the Lower Ricci Curvature (LRC), a novel, scalable, and scale-free discrete curvature designed to enhance community detection in networks. Addressing the comp…
Contrastive linear regression
Boyang Zhang, Sarah Nyquist, Andrew Jones +2
Contrastive dimension reduction methods have been developed for case-control study data to identify variation that is enriched in the foreground (case) data X relative to the backg…
On the Identifiability and Interpretability of Gaussian Process Models
Jiawen Chen, Wancen Mu, Yun Li +1
In this paper, we critically examine the prevalent practice of using additive mixtures of Matérn kernels in single-output Gaussian process (GP) models and explore the properties of…
Contrastive inverse regression for dimension reduction
Sam Hawke, Hengrui Luo, Didong Li
Supervised dimension reduction (SDR) has been a topic of growing interest in data science, as it enables the reduction of high-dimensional covariates while preserving the functiona…