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Linear Algebra

480 directly classified papers

Papers per year

Papers

Micro-Baseline Structured Light ICCV 2019
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition COLT 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019
Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices ICML 2018
A Dual Framework for Low-rank Tensor Completion NIPS 2018
Differentially Private Robust Low-Rank Approximation NIPS 2018
The Price of Fair PCA: One Extra dimension NIPS 2018
Robust Subspace Approximation in a Stream NIPS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NIPS 2018
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms ICML 2018
Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018
UnibucKernel: A kernel-based learning method for complex word identification NAACL 2018
Convolutional Imputation of Matrix Networks ICML 2018
High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization IJCAI 2018
Sublinear Time Low-Rank Approximation of Distance Matrices NIPS 2018
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons NIPS 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization NIPS 2018
The Search Problem in Mixture Models JMLR 2018
Reverse Iterative Volume Sampling for Linear Regression JMLR 2018
On Binary Embedding using Circulant Matrices JMLR 2018
A Document Descriptor using Covariance of Word Vectors ACL 2018
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NIPS 2018
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NIPS 2018