111 citations · 114 across the 5 of their papers we have counts for
5 papers
Breiman's "Two Cultures" Revisited and Reconciled
Subhadeep, Mukhopadhyay, Kaijun Wang
In a landmark paper published in 2001, Leo Breiman described the tense standoff between two cultures of data modeling: parametric statistical and algorithmic machine learning. The…
On The Problem of Relevance in Statistical Inference
Subhadeep Mukhopadhyay, Kaijun Wang
This paper is dedicated to the "50 Years of the Relevance Problem" - a long-neglected topic that begs attention from practical statisticians who are concerned with the problem of d…
Spectral Graph Analysis: A Unified Explanation and Modern Perspectives
Subhadeep Mukhopadhyay, Kaijun Wang
Complex networks or graphs are ubiquitous in sciences and engineering: biological networks, brain networks, transportation networks, social networks, and the World Wide Web, to nam…
A Nonparametric Approach to High-dimensional k-sample Comparison Problems
Subhadeep, Mukhopadhyay, Kaijun Wang
High-dimensional k-sample comparison is a common applied problem. We construct a class of easy-to-implement nonparametric distribution-free tests based on new tools and unexplored…
Adaptive Affinity Propagation Clustering
Kaijun Wang, Junying Zhang, Dan Li +2
Affinity propagation clustering (AP) has two limitations: it is hard to know what value of parameter 'preference' can yield an optimal clustering solution, and oscillations cannot…