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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 101–125 of 153 papers

TitleStatusHype
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Communication-Efficient Distributed PCA by Riemannian Optimization—0
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders—0
Coupling Matrix Manifolds and Their Applications in Optimal Transport—0
Spherical Text EmbeddingCode0
Hyperbolic Node Embedding for Signed Networks—0
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection—0
Riemannian optimization on the simplex of positive definite matrices—0
Optimal low rank tensor recovery—0
Learning Mixed-Curvature Representations in Product Spaces—0
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints—0
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold—0
Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold—0
Hamiltonian Monte-Carlo for Orthogonal Matrices—0
Accelerated Inference in Markov Random Fields via Smooth Riemannian OptimizationCode0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
Contrastive Video Representation Learning via Adversarial Perturbations—0
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering—0
Geometry Aware Constrained Optimization Techniques for Deep Learning—0
Non-Linear Temporal Subspace Representations for Activity Recognition—0
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping—0
Averaging Stochastic Gradient Descent on Riemannian Manifolds—0
A dual framework for low-rank tensor completion—0
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective—0
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