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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 126–150 of 153 papers

TitleStatusHype
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization—0
Faster Randomized Methods for Orthogonality Constrained Problems—0
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization—0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
Fast Quantum Process Tomography via Riemannian Gradient Descent—0
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization—0
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks—0
Generalized Rank Pooling for Activity Recognition—0
Geometric optimisation on positive definite matrices for elliptically contoured distributions—0
Geometry Aware Constrained Optimization Techniques for Deep Learning—0
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection—0
Hamiltonian Monte-Carlo for Orthogonal Matrices—0
Higher Order Reduced Rank Regression—0
Hyperbolic Node Embedding for Signed Networks—0
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation—0
Learning an Invariant Hilbert Space for Domain Adaptation—0
Learning Discriminative ab-Divergences for Positive Definite Matrices—0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)—0
Contrastive Video Representation Learning via Adversarial Perturbations—0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
Learning Mixed-Curvature Representations in Product Spaces—0
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders—0
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering—0
Low-rank tensor completion: a Riemannian manifold preconditioning approach—0
Manifold Free Riemannian Optimization—0
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