3 papers
cs.LG2024
Convergence rates of stochastic gradient method with independent sequences of step-size and momentum weight
Wen-Liang Hwang
In large-scale learning algorithms, the momentum term is usually included in the stochastic sub-gradient method to improve the learning speed because it can navigate ravines effici…
stat.ML2024
Generalization bounds for regression and classification on adaptive covering input domains
Wen-Liang Hwang
Our main focus is on the generalization bound, which serves as an upper limit for the generalization error. Our analysis delves into regression and classification tasks separately…
math.OC2023
Directional proximal point method for convex optimization
Wen-Liang Hwang, Chang-Wei Yueh
The use of proximal point operators for optimization can be computationally expensive when the dimensionality of a function (i.e., the number of variables) is high. In this study,…