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riemannian gradient

9 papers

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Co-occurring keywords

manifold optimization (67) gradient descent (1144) principal component analysis (316) riemannian optimization (89) distributed pca (4) incremental aggregation (1) client drift (27) eigenvector computation (16) orthogonal constraint (19) orthogonal group (7)

Papers

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NIPS 2024
Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
A Comprehensively Tight Analysis of Gradient Descent for PCA NIPS 2021
Nonparametric Continuous Sensor Registration JMLR 2021
Handling the Positive-Definite Constraint in the Bayesian Learning Rule ICML 2020
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005