62 citations · 121 across the 5 of their papers we have counts for
5 papers
Deep Clustering with Measure Propagation
Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan +3
Deep models have improved state-of-the-art for both supervised and unsupervised learning. For example, deep embedded clustering (DEC) has greatly improved the unsupervised clusteri…
Faithful Variable Screening for High-Dimensional Convex Regression
Min Xu, Minhua Chen, John Lafferty
We study the problem of variable selection in convex nonparametric regression. Under the assumption that the true regression function is convex and sparse, we develop a screening p…
Communications Inspired Linear Discriminant Analysis
Minhua Chen, William Carson, Miguel Rodrigues +2
We study the problem of supervised linear dimensionality reduction, taking an information-theoretic viewpoint. The linear projection matrix is designed by maximizing the mutual inf…
Communications-Inspired Projection Design with Application to Compressive Sensing
William R. Carson, Minhua Chen, Miguel R. D. Rodrigues +2
We consider the recovery of an underlying signal x \in C^m based on projection measurements of the form y=Mx+w, where y \in C^l and w is measurement noise; we are interested in the…
Blind Compressed Sensing Over a Structured Union of Subspaces
Jorge Silva, Minhua Chen, Yonina C. Eldar +2
This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple sen…