Linear Algebra

Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 Learning from Non-Binary Constituency Trees via Tensor Decomposition COLING 2020 Message Passing Least Squares Framework and its Application to Rotation Synchronization ICML 2020 Minimax Rank-$1$ Matrix Factorization AISTATS 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NeurIPS 2020 Optimal least-squares solution to the hand-eye calibration problem CVPR 2020 Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020 Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix ICML 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NeurIPS 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020 Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020 Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020 Revisiting the Landscape of Matrix Factorization AISTATS 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Sample complexity bounds for localized sketching AISTATS 2020 Scalable Calibration of Affinity Matrices from Incomplete Observations ACML 2020 Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension ICML 2020 Specializing Word Vectors by Spectral Decomposition on Heterogeneously Twisted Graphs COLING 2020 Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence ICML 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020