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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

Showing 76–100 of 153 papers

TitleStatusHype
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees—0
Riemannian Optimization for Variance Estimation in Linear Mixed Models—0
Riemannian optimization on the simplex of positive definite matrices—0
Riemannian preconditioning for tensor completion—0
Riemannian Self-Attention Mechanism for SPD Networks—0
Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions—0
Riemannian stochastic optimization methods avoid strict saddle points—0
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold—0
Riemannian stochastic recursive momentum method for non-convex optimization—0
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds—0
Riemannian Tensor Completion with Side Information—0
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method—0
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces—0
Spectral-factorized Positive-definite Curvature Learning for NN Training—0
Stochastic gradient descent on Riemannian manifolds—0
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction—0
Structured Low-Rank Tensor Learning—0
Structured Regularization for Constrained Optimization on the SPD Manifold—0
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings—0
Tensor train completion: local recovery guarantees via Riemannian optimization—0
The Distributionally Robust Optimization Model of Sparse Principal Component Analysis—0
Riemannian stochastic approximation algorithms—0
The Fisher-Rao geometry of CES distributions—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Variance reduction for Riemannian non-convex optimization with batch size adaptation—0
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