3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
A sequential smoothing majorant stochastic approximation method for nonconvex nonconcave minimax problems
Zhouxing Luo, Wei Liu, Xin Liu +1
We propose a sequential smoothing majorant stochastic approximation (SMSA) method for nonconvex-nonconcave minimax optimization problems. To overcome the nonconcavity of the inner…
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems
Wei Liu, Xin Liu, Michael K. Ng +1
Semi-supervised clustering is a basic problem in various applications. Most existing methods require knowledge of the ideal cluster number, which is often difficult to obtain in pr…
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
Wei Liu, Xin Liu, Xiaojun Chen
The leaky ReLU network with a group sparse regularization term has been widely used in the recent years. However, training such a network yields a nonsmooth nonconvex optimization…
Linearly-constrained nonsmooth optimization for training autoencoders
Wei Liu, Xin Liu, Xiaojun Chen
A regularized minimization model with -norm penalty (RP) is introduced for training the autoencoders that belong to a class of two-layer neural networks. We show that the RP c…