18 citations · 32 across the 16 of their papers we have counts for
4 papers · 1 filter
On Regularized Sparse Logistic Regression
Mengyuan Zhang, Kai Liu
Sparse logistic regression is for classification and feature selection simultaneously. Although many studies have been done to solve -regularized logistic regression, there…
Strictly Low Rank Constraint Optimization -- An Asymptotically Method
Mengyuan Zhang, Kai Liu
We study a class of non-convex and non-smooth problems with \textit{rank} regularization to promote sparsity in optimal solution. We propose to apply the proximal gradient descent…
Adaptive Weighted Multiview Kernel Matrix Factorization with its application in Alzheimer's Disease Analysis -- A clustering Perspective
Kai Liu, Yarui Cao
Recent technology and equipment advancements provide with us opportunities to better analyze Alzheimer's disease (AD), where we could collect and employ the data from different ima…
Multi-Task Learning with Prior Information
Mengyuan Zhang, Kai Liu
Multi-task learning aims to boost the generalization performance of multiple related tasks simultaneously by leveraging information contained in those tasks. In this paper, we prop…