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riemannian gradient

9 papers

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Co-occurring keywords · papers mentioning both

manifold optimization (3) gradient descent (2) principal component analysis (2) riemannian optimization (2) distributed pca (1) incremental aggregation (1) client drift (1) eigenvector computation (1) orthogonal constraint (1) orthogonal group (1)

Papers

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 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 NeurIPS 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 NeurIPS 2019 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005