17 citations · 49 across the 11 of their papers we have counts for
11 papers
Probabilistic Best Subset Selection via Gradient-Based Optimization
Mingzhang Yin, Nhat Ho, Bowei Yan +2
In high-dimensional statistics, variable selection recovers the latent sparse patterns from all possible covariate combinations. This paper proposes a novel optimization method to…
Graph-Fused Multivariate Regression via Total Variation Regularization
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR) via Total Variation regularization, a novel method for estimating the association between a one-dimensional…
Consistent Classification with Generalized Metrics
Xiaoyan Wang, Ran Li, Bowei Yan +1
We propose a framework for constructing and analyzing multiclass and multioutput classification metrics, i.e., involving multiple, possibly correlated multiclass labels. Our analys…
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong +1
Complex performance measures, beyond the popular measure of accuracy, are increasingly being used in the context of binary classification. These complex performance measures are ty…
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng
Community detection is a fundamental unsupervised learning problem for unlabeled networks which has a broad range of applications. Many community detection algorithms assume that t…
Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
In this paper, we study convergence properties of the gradient Expectation-Maximization algorithm \cite{lange1995gradient} for Gaussian Mixture Models for general number of cluster…