Riemannian stochastic fixed point optimization algorithm

Riemannian Adaptive Optimization Algorithm and its Application to Natural Language Processing

(2021) Hiroyuki Sakai et al.   IEEE Transactions on Cybernetics

Stochastic Fixed Point Optimization Algorithm for Classifier Ensemble

(2019) Hideaki Iiduka   IEEE Transactions on Cybernetics

ε-subgradient algorithms for locally lipschitz functions on Riemannian manifolds

(2015) P. Grohs et al.   ADVANCES IN COMPUTATIONAL MATHEMATICS

A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions

(2015) Hiroyuki Sato   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Linear Convergence of Subgradient Algorithm for Convex Feasibility on Riemannian Manifolds

(2015) Xiangmei Wang et al.   SIAM JOURNAL ON OPTIMIZATION

Stochastic Gradient Descent on Riemannian Manifolds

(2013) Silvere Bonnabel   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Analysis Operator Learning and its Application to Image Reconstruction

(2013) S. Hawe et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A new, globally convergent Riemannian conjugate gradient method

(2013) Hiroyuki Sato et al.   OPTIMIZATION

Optimization Methods on Riemannian Manifolds and Their Application to Shape Space

(2012) Wolfgang Ring et al.   SIAM JOURNAL ON OPTIMIZATION

Subgradient Method for Convex Feasibility on Riemannian Manifolds

(2011) Glaydston C. Bento et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Resolvents of Set-Valued Monotone Vector Fields in Hadamard Manifolds

(2010) Chong Li et al.   Set-Valued and Variational Analysis

Monotone vector fields and the proximal point algorithm on Hadamard manifolds

(2009) Chong Li et al.   JOURNAL OF THE LONDON MATHEMATICAL SOCIETY-SECOND SERIES

Existence of solutions for variational inequalities on Riemannian manifolds

(2009) Shu-Long Li et al.   NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS

Robust Stochastic Approximation Approach to Stochastic Programming

(2009) A. Nemirovski et al.   SIAM JOURNAL ON OPTIMIZATION