Linear Algebra

Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019 Robust Low-Tubal-Rank Tensor Completion via Convex Optimization IJCAI 2019 Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019 Spectral Clustering of Signed Graphs via Matrix Power Means ICML 2019 Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility Interspeech 2019 Spectrum Estimation from a Few Entries JMLR 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Structured Graph Learning Via Laplacian Spectral Constraints NeurIPS 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising JMLR 2019 Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels NeurIPS 2019 Towards a Zero-One Law for Column Subset Selection NeurIPS 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Towards Understanding Linear Word Analogies ACL 2019 Understanding Sparse JL for Feature Hashing NeurIPS 2019 Unifying Orthogonal Monte Carlo Methods ICML 2019 A Biresolution Spectral Framework for Product Quantization CVPR 2018 Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization NeurIPS 2018 A Document Descriptor using Covariance of Word Vectors ACL 2018 A Dual Framework for Low-rank Tensor Completion NeurIPS 2018 An ℓ_∞ Eigenvector Perturbation Bound and Its Application JMLR 2018 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 Completing State Representations using Spectral Learning NeurIPS 2018 Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018