conftrace_

eigenvector computation

16 papers

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Co-occurring keywords

riemannian optimization (89) shift-and-invert preconditioning (3) numerical linear algebra (35) principal component analysis (316) matrix eigenvalue (4) eigenvalue computation (11) distributed pca (4) streaming algorithm (131) matrix computation (20) linear convergence (158)

Papers

Graph Positional Encoding via Random Feature Propagation ICML 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Distributed Principal Component Analysis with Limited Communication NIPS 2021
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error NIPS 2021
On the Riemannian Search for Eigenvector Computation JMLR 2021
Communication-Efficient Distributed PCA by Riemannian Optimization ICML 2020
Entrywise convergence of iterative methods for eigenproblems NIPS 2020
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NIPS 2018
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NIPS 2018
Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017
Tensor Decomposition via Simultaneous Power Iteration ICML 2017
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016
Faster Projection-free Convex Optimization over the Spectrahedron NIPS 2016
Online Learning of Eigenvectors ICML 2015