9 citations · 27 across the 15 of their papers we have counts for
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math.OC2022★ 7 cited
Riemannian Smoothing Gradient Type Algorithms]{Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space
Zheng Peng, Weihe Wu, Jiang Hu +1
In this paper, we introduce the notion of generalized -stationarity for a class of nonconvex and nonsmooth composite minimization problems on compact Riemannian submanifold embe…
math.OC2022
On the local convergence of the semismooth Newton method for composite optimization
Jiang Hu, Tonghua Tian, Shaohua Pan +1
In this paper, we consider a large class of nonlinear equations derived from first-order type methods for solving composite optimization problems. Traditional approaches to establi…
math.OC2022★ 1 cited
Riemannian Natural Gradient Methods
Jiang Hu, Ruicheng Ao, Anthony Man-Cho So +2
This paper studies large-scale optimization problems on Riemannian manifolds whose objective function is a finite sum of negative log-probability losses. Such problems arise in var…