An adaptive regularized proximal Newton-type methods for composite optimization over the Stiefel manifold

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
A feasible method for optimization with orthogonality constraints
\(\varepsilon\)-subgradient algorithms for locally Lipschitz functions on Riemannian manifolds
A splitting method for orthogonality constrained problems
Generalized gradients and characterization of epi-Lipschitz sets in Riemannian manifolds
A nonmonotone conjugate gradient algorithm for unconstrained optimization
Subgradient algorithm on Riemannian manifolds
A regularized semi-smooth Newton method with projection steps for composite convex programs
Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates
Riemannian proximal gradient methods
A Riemannian subgradient algorithm for economic dispatch with valve-point effect
A collection of nonsmooth Riemannian optimization problems
Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods
Cubic regularization of Newton method and its global performance
An inexact Riemannian proximal gradient method
Projection-like Retractions on Matrix Manifolds
Proximal Newton-Type Methods for Minimizing Composite Functions
An Augmented Lagrangian Method for Non-Lipschitz Nonconvex Programming
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization
Algorithms for nonlinear constraints that use lagrangian functions
Accelerated Regularized Newton Methods for Minimizing Composite Convex Functions
A Nonmonotone Line Search Technique for Newton’s Method
A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization
Compressed modes for variational problems in mathematics and physics
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold
Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints
Regularized Newton Methods for Minimizing Functions with Hölder Continuous Hessians
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds
Proximal quasi-Newton method for composite optimization over the Stiefel manifold
A Riemannian Proximal Newton Method

This page was built for publication: An adaptive regularized proximal Newton-type methods for composite optimization over the Stiefel manifold