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Linear Algebra

480 directly classified papers

Papers per year

Papers

Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019
Towards a Zero-One Law for Column Subset Selection NIPS 2019
Learning-Based Low-Rank Approximations NIPS 2019
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation NIPS 2019
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss NIPS 2019
Parameter-free Sentence Embedding via Orthogonal Basis IJCNLP 2019
Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019
Homomorphic Sensing ICML 2019
Approximating Orthogonal Matrices with Effective Givens Factorization ICML 2019
Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility INTERSPEECH 2019
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NIPS 2019
Efficient Symmetric Norm Regression via Linear Sketching NIPS 2019
Structured Graph Learning Via Laplacian Spectral Constraints NIPS 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Understanding Sparse JL for Feature Hashing NIPS 2019
Decentralized sketching of low rank matrices NIPS 2019
State Aggregation Learning from Markov Transition Data NIPS 2019
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization AAAI 2019
Towards Understanding Linear Word Analogies ACL 2019
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels NIPS 2019
Expressive power of tensor-network factorizations for probabilistic modeling NIPS 2019
Unifying Orthogonal Monte Carlo Methods ICML 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019