Linear Algebra

The Price of Fair PCA: One Extra dimension NeurIPS 2018 The Search Problem in Mixture Models JMLR 2018 UnibucKernel: A kernel-based learning method for complex word identification NAACL 2018 Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 A General Characterization of the Statistical Query Complexity COLT 2017 Angle Principal Component Analysis IJCAI 2017 Approximation Algorithms for ℓ_0-Low Rank Approximation NeurIPS 2017 Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017 Fitting Low-Rank Tensors in Constant Time NeurIPS 2017 Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data NeurIPS 2017 Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017 How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting SemEval 2017 Locality Preserving Projections for Grassmann manifold IJCAI 2017 Matrix Norm Estimation from a Few Entries NeurIPS 2017 Multi-view Matrix Factorization for Linear Dynamical System Estimation NeurIPS 2017 Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017 Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NeurIPS 2017 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NeurIPS 2017