2 papers
cs.LG2025
Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
Yaru Liu, Yiqi Gu, Michael K. Ng
In this paper, we develop a new optimization framework for the least squares learning problem via fully connected neural networks or physics-informed neural networks. The gradient…
math.OC2025
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…