eigenvector computation

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 NeurIPS 2021 Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error NeurIPS 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 NeurIPS 2020 Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018 Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NeurIPS 2018 Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NeurIPS 2018 Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017 Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017 Tensor Decomposition via Simultaneous Power Iteration ICML 2017 Faster Eigenvector Computation via Shift-and-Invert Preconditioning ICML 2016 Faster Projection-free Convex Optimization over the Spectrahedron NeurIPS 2016 Online Learning of Eigenvectors ICML 2015 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014