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eigenvalue computation

11 papers

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Co-occurring keywords · papers mentioning both

eigenvector computation (3) riemannian optimization (3) riemannian gradient descent (2) manifold optimization (2) stochastic gradient (2) power iteration (1) chebyshev polynomial (1) distributed pca (1) riemannian gradient (1) incremental aggregation (1)

Papers

A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP ICML 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 On the Accelerated Noise-Tolerant Power Method AISTATS 2023 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022 Entrywise convergence of iterative methods for eigenproblems NeurIPS 2020 The Gradient Complexity of Linear Regression COLT 2020 Tight Convergence Rate of Gradient Descent for Eigenvalue Computation IJCAI 2020 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013