43 citations · 177 across the 17 of their papers we have counts for
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math.OC2019★ 16 cited
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
Xiao Li, Shixiang Chen, Zengde Deng +3
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…
math.OC2019★ 25 cited
Incremental Methods for Weakly Convex Optimization
Xiao Li, Zhihui Zhu, Anthony Man-Cho So +1
Incremental methods are widely utilized for solving finite-sum optimization problems in machine learning and signal processing. In this paper, we study a family of incremental meth…