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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 76–100 of 153 papers

TitleStatusHype
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar—0
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning—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
Manifold Optimization for Gaussian Mixture Models—0
Manifold Optimization Methods for Hybrid beamforming in mmWave Dual-Function Radar-Communication System—0
Manopt, a Matlab toolbox for optimization on manifolds—0
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