AN OPERATOR-SPLITTING OPTIMIZATION APPROACH FOR PHASE-FIELD SIMULATION OF EQUILIBRIUM SHAPES OF CRYSTALS

A Riemannian Proximal Newton-CG Method

Federated Learning on Riemannian Manifolds with Differential Privacy

A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds

An image inpainting algorithm using exemplar matching and low-rank sparse prior

A RIEMANNIAN PROXIMAL NEWTON METHOD

An iterative algorithm for low-rank tensor completion problem with sparse noise and missing values

AN OPERATOR-SPLITTING OPTIMIZATION APPROACH FOR PHASE-FIELD SIMULATION OF EQUILIBRIUM SHAPES OF CRYSTALS

An increasing rank Riemannian method for generalized Lyapunov equations

Riemannian Trust Region Methods for SC1 Minimization

Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence

A Riemannian Proximal Newton Method

An inexact Riemannian proximal gradient method

A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy

Tensor Completion via Tensor Train Based Low-Rank Quotient Geometry under a Preconditioned Metric

A Riemannian Optimization Approach to Clustering Problems

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation

RIEMANNIAN OPTIMIZATION USING THREE DIFFERENT METRICS FOR HERMITIAN PSD FIXED-RANK CONSTRAINTS: AN EXTENDED VERSION

ON THE ANALYSIS OF OPTIMIZATION WITH FIXED-RANK MATRICES: A QUOTIENT GEOMETRIC VIEW

An extension of fast iterative shrinkage-thresholding algorithm to Riemannian optimization for sparse principal component analysis

A Gradient-Sampling-based Algorithm for Change Point Detection in Piecewise Linear Model

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation

Rate-optimal denoising with deep neural networks

Community Detection by a Riemannian Projected Proximal Gradient Method

A limited-memory Riemannian symmetric rank-one trust-region method with an efficient algorithm for its subproblem

Heuristics for optimization with nonnegativity constraints using ideas from Riemannian optimization

A Provably Convergent Scheme for Compressive Sensing Under Random Generative Priors

Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes

Riemannian proximal gradient methods

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds

Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem

Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method

ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization

Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold