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Linear Algebra

480 directly classified papers

Papers per year

Papers

Completing State Representations using Spectral Learning NIPS 2018
Rotation Averaging and Strong Duality CVPR 2018
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems CVPR 2018
A Biresolution Spectral Framework for Product Quantization CVPR 2018
Fast Randomized PCA for Sparse Data ACML 2018
Relating Leverage Scores and Density using Regularized Christoffel Functions NIPS 2018
High Dimensional Linear Regression using Lattice Basis Reduction NIPS 2018
Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018
Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application JMLR 2018
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data JMLR 2018
Efficient coordinate-wise leading eigenvector computation ALT 2018
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018
Cross-Spectral Factor Analysis NIPS 2017
Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017
Approximation Algorithms for $\ell_0$-Low Rank Approximation NIPS 2017
Optimal Dictionary for Least Squares Representation JMLR 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017
Fitting Low-Rank Tensors in Constant Time NIPS 2017