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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 101–150 of 153 papers

TitleStatusHype
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies—0
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
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization—0
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties—0
A dual framework for low-rank tensor completion—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
A Manifold Approach to Learning Mutually Orthogonal Subspaces—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
Understanding Riemannian Acceleration via a Proximal Extragradient Framework—0
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds—0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints—0
Averaging Stochastic Gradient Descent on Riemannian Manifolds—0
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints—0
Communication-Efficient Distributed PCA by Riemannian Optimization—0
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Convergence results for projected line-search methods on varieties of low-rank matrices via Łojasiewicz inequality—0
Coupling Matrix Manifolds and Their Applications in Optimal Transport—0
Design of Artificial Interference Signals for Covert Communication Aided by Multiple Friendly Nodes—0
Differential Evolution for Grassmann Manifold Optimization: A Projection Approach—0
Differentially private Riemannian optimization—0
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective—0
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform—0
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient—0
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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