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Linear Algebra

480 papers

Papers per year

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36
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Papers

Approximation Algorithms for $\ell_0$-Low Rank Approximation NIPS 2017
Tensor Biclustering NIPS 2017
Optimal Shrinkage of Singular Values Under Random Data Contamination NIPS 2017
Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD) AISTATS 2017
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017
A General Characterization of the Statistical Query Complexity COLT 2017
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 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
Tensor Decomposition with Smoothness ICML 2017
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017
Partitioned Tensor Factorizations for Learning Mixed Membership Models ICML 2017
Tensor Decomposition via Simultaneous Power Iteration ICML 2017
SVD-Based Screening for the Graphical Lasso IJCAI 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Locality Preserving Projections for Grassmann manifold IJCAI 2017
Angle Principal Component Analysis IJCAI 2017
Reconstructing Undirected Graphs from Eigenspaces JMLR 2017
Rank Determination for Low-Rank Data Completion JMLR 2017
Optimal Dictionary for Least Squares Representation JMLR 2017
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting SEMEVAL 2017
Single Pass PCA of Matrix Products NIPS 2016