4 papers
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…
RIP sensing matrices construction for sparsifying dictionaries with application to MRI imaging
Jinn Ho, Wen-Liang Hwang, Andreas Heinecke
Practical applications of compressed sensing often restrict the choice of its two main ingredients. They may (i) prescribe using particular redundant dictionaries for certain class…
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…
Deriving RIP sensing matrices for sparsifying dictionaries
Jinn Ho, Wen-Liang Hwang
Compressive sensing involves the inversion of a mapping , where , is a sensing matrix, and is a sparisfying dictionary. The restricte…