Pages that link to "Item:Q5113326"

The following pages link to Global rates of convergence for nonconvex optimization on manifolds (Q5113326):

Displaying 50 items.

• Globally convergent optimization algorithms on Riemannian manifolds: Uniform framework for unconstrained and constrained optimization (Q933806) (← links)
• On the quality of first-order approximation of functions with Hölder continuous gradient (Q1985266) (← links)
• Simple algorithms for optimization on Riemannian manifolds with constraints (Q2019906) (← links)
• Riemannian gradient descent methods for graph-regularized matrix completion (Q2029849) (← links)
• Adaptive regularization with cubics on manifolds (Q2039233) (← links)
• A Riemannian rank-adaptive method for low-rank matrix completion (Q2070331) (← links)
• Non-convex exact community recovery in stochastic block model (Q2089764) (← links)
• Nonlinear matrix recovery using optimization on the Grassmann manifold (Q2105129) (← links)
• Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold (Q2112688) (← links)
• On the optimization landscape of tensor decompositions (Q2144549) (← links)
• Riemannian proximal gradient methods (Q2149554) (← links)
• An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization (Q2188245) (← links)
• Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis (Q2205985) (← links)
• A brief introduction to manifold optimization (Q2218094) (← links)
• Mini-workshop: Computational optimization on manifolds. Abstracts from the mini-workshop held November 15--21, 2020 (online meeting) (Q2232319) (← links)
• Cholesky QR-based retraction on the generalized Stiefel manifold (Q2419507) (← links)
• A Riemannian optimization approach to the radial distribution network load flow problem (Q2665121) (← links)
• Riemannian stochastic variance-reduced cubic regularized Newton method for submanifold optimization (Q2679570) (← links)
• An exact penalty approach for optimization with nonnegative orthogonality constraints (Q2687065) (← links)
• An inexact Riemannian proximal gradient method (Q2701414) (← links)
• Nonconvex phase synchronization (Q2832892) (← links)
• Geometric Methods on Low-Rank Matrix and Tensor Manifolds (Q3300541) (← links)
• First Order Methods for Optimization on Riemannian Manifolds (Q3300552) (← links)
• Recent Advances in Stochastic Riemannian Optimization (Q3300553) (← links)
• Rank Optimality for the Burer--Monteiro Factorization (Q4971016) (← links)
• Riemannian Optimization on the Symplectic Stiefel Manifold (Q4997174) (← links)
• Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods (Q5003207) (← links)
• (Q5038021) (← links)
• Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization (Q5072586) (← links)
• Sequential Quadratic Optimization for Nonlinear Optimization Problems on Riemannian Manifolds (Q5080505) (← links)
• Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms (Q5131963) (← links)
• Memory-Efficient Structured Convex Optimization via Extreme Point Sampling (Q5154636) (← links)
• On the Simplicity and Conditioning of Low Rank Semidefinite Programs (Q5162653) (← links)
• Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold (Q5210519) (← links)
• Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery (Q5214201) (← links)
• Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices (Q5217101) (← links)
• Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints (Q5230652) (← links)
• Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature (Q5237307) (← links)
• New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition (Q5863880) (← links)
• An active-set proximal quasi-Newton algorithm for ℓ₁-regularized minimization over a sphere constraint (Q5870141) (← links)
• Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy (Q6038660) (← links)
• An accelerated first-order method for non-convex optimization on manifolds (Q6048700) (← links)
• Riemannian smoothing gradient type algorithms for nonsmooth optimization problem on compact Riemannian submanifold embedded in Euclidean space (Q6058520) (← links)
• Multivariate expectile-based distribution: properties, Bayesian inference, and applications (Q6101695) (← links)
• A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming (Q6116234) (← links)
• Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds (Q6116254) (← links)
• Faster Riemannian Newton-type optimization by subsampling and cubic regularization (Q6134379) (← links)
• Proximal quasi-Newton method for composite optimization over the Stiefel manifold (Q6159020) (← links)
• Memoryless quasi-Newton methods based on the spectral-scaling Broyden family for Riemannian optimization (Q6161550) (← links)
• An adaptive Riemannian gradient method without function evaluations (Q6167088) (← links)