Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
Work
Year: 2021
Type: article
Abstract: We consider a class of nonsmooth optimization problems over the Stiefel manifold, in which the objective function is weakly convex in the ambient Euclidean space. Such problems are ubiquitous in engin... more
Source: SIAM Journal on Optimization
Institutions Chinese University of Hong Kong, Shenzhen, Texas A&M University, University of Denver, University of Michigan–Ann Arbor, Chinese University of Hong Kong
Cites: 52
Cited by: 30
Related to: 10
FWCI: 3.104
Citation percentile (by year/subfield): 100
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders National Science Foundation, Research Grants Council, University Grants Committee, Research Grants Council, University Grants Committee, Research Grants Council, University Grants Committee
Grant IDS 1704458, CUHK 14208117, CUHK 14210617, 3133236