43 citations · 80 across the 22 of their papers we have counts for
4 papers · 1 filter
Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network
Toru Kitagawa, Guanyi Wang
How to allocate vaccines over heterogeneous individuals is one of the important policy decisions in pandemic times. This paper develops a procedure to estimate an individualized va…
Solving sparse principal component analysis with global support
Santanu S. Dey, Marco Molinaro, Guanyi Wang
Sparse principal component analysis with global support (SPCAgs), is the problem of finding the top- leading principal components such that all these principal components are li…
Half-Space Proximal Stochastic Gradient Method for Group-Sparsity Regularized Problem
Tianyi Chen, Guanyi Wang, Tianyu Ding +3
Optimizing with group sparsity is significant in enhancing model interpretability in machining learning applications, e.g., feature selection, compressed sensing and model compress…
Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization
Tianyi Chen, Tianyu Ding, Bo Ji +6
Sparsity-inducing regularization problems are ubiquitous in machine learning applications, ranging from feature selection to model compression. In this paper, we present a novel st…