Linear Algebra

Low Rank Approximation using Error Correcting Coding Matrices ICML 2015 Matrix Completion for Resolving Label Ambiguity CVPR 2015 Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation NeurIPS 2015 Matrix Completion Under Monotonic Single Index Models NeurIPS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Online Learning of Eigenvectors ICML 2015 On the Complexity of Learning with Kernels COLT 2015 On the Minimal Problems of Low-Rank Matrix Factorization CVPR 2015 Optimal Estimation of Low Rank Density Matrices JMLR 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NeurIPS 2015 Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems ICML 2015 Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts ICCV 2015 Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method AISTATS 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Circulant Binary Embedding ICML 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Depth Enhancement via Low-rank Matrix Completion CVPR 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Discriminative Features via Generalized Eigenvectors ICML 2014 Finding the Subspace Mean or Median to Fit Your Need CVPR 2014 Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014