Linear Algebra
534 papers
Papers per year
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11
11
26
26
36
40
36
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60
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Papers
Structured Matrix Recovery via the Generalized Dantzig Selector
NeurIPS 2016
Sublinear Time Orthogonal Tensor Decomposition
NeurIPS 2016
Tensor Decomposition via Joint Matrix Schur Decomposition
ICML 2016
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
AISTATS 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
CVPR 2015
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
ICML 2015
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
NeurIPS 2015
Approximating Sparse PCA from Incomplete Data
NeurIPS 2015
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
ICML 2015
Automatic Construction Of Robust Spherical Harmonic Subspaces
CVPR 2015
Column Subset Selection with Missing Data via Active Sampling
AISTATS 2015
Complete Dictionary Recovery Using Nonconvex Optimization
ICML 2015
Completing Any Low-rank Matrix, Provably
JMLR 2015
CUR Algorithm for Partially Observed Matrices
ICML 2015
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
ICML 2015
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition
RSS 2015
Fast and Guaranteed Tensor Decomposition via Sketching
NeurIPS 2015
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
ICML 2015
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
NeurIPS 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
ICML 2015
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization
CVPR 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
NeurIPS 2015
Large-scale log-determinant computation through stochastic Chebyshev expansions
ICML 2015
Learning Overcomplete Latent Variable Models through Tensor Methods
COLT 2015