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Linear Algebra

480 directly classified papers

Papers per year

Papers

Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020
Message Passing Least Squares Framework and its Application to Rotation Synchronization ICML 2020
Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
Revisiting the Landscape of Matrix Factorization AISTATS 2020
Error Estimation for Sketched SVD via the Bootstrap ICML 2020
Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020
Scalable Calibration of Affinity Matrices from Incomplete Observations ACML 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
Sample complexity bounds for localized sketching AISTATS 2020
Union of Low-Rank Tensor Spaces: Clustering and Completion JMLR 2020
Proximity Operator of the Matrix Perspective Function and its Applications NIPS 2020
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NIPS 2020
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation IJCAI 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NIPS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020
What if Neural Networks had SVDs? NIPS 2020
Optimal least-squares solution to the hand-eye calibration problem CVPR 2020
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
A novel variational form of the Schatten-$p$ quasi-norm NIPS 2020
Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence ICML 2020