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Linear Algebra

480 papers

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Papers

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NIPS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020
What if Neural Networks had SVDs? NIPS 2020
A novel variational form of the Schatten-$p$ quasi-norm NIPS 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020
Scalable Calibration of Affinity Matrices from Incomplete Observations ACML 2020
Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020
Revisiting the Landscape of Matrix Factorization AISTATS 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
Sample complexity bounds for localized sketching AISTATS 2020
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems AISTATS 2020
Specializing Word Vectors by Spectral Decomposition on Heterogeneously Twisted Graphs COLING 2020
Learning from Non-Binary Constituency Trees via Tensor Decomposition COLING 2020
An $\widetilde\mathcal{O}(m/\varepsilon^3.5)$-Cost Algorithm for Semidefinite Programs with Diagonal Constraints COLT 2020
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020
Optimal least-squares solution to the hand-eye calibration problem CVPR 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension ICML 2020