low-rank approximation

Dynamic Tensor Product Regression NeurIPS 2022 Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022 Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent NeurIPS 2022 Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation CVPR 2022 Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022 Faster Linear Algebra for Distance Matrices NeurIPS 2022 Fused Orthogonal Alternating Least Squares for Tensor Clustering NeurIPS 2022 Gauss-Legendre Features for Gaussian Process Regression JMLR 2022 Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022 Handling Slice Permutations Variability in Tensor Recovery AAAI 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022 Improved analysis of randomized SVD for top-eigenvector approximation AISTATS 2022 Improved rates for prediction and identification of partially observed linear dynamical systems ALT 2022 KoPA: Automated Kronecker Product Approximation JMLR 2022 Learning Representation from Neural Fisher Kernel with Low-rank Approximation ICLR 2022 Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations NeurIPS 2022 Low-rank Optimal Transport: Approximation, Statistics and Debiasing NeurIPS 2022 Nonparametric Principal Subspace Regression JMLR 2022 NysADMM: faster composite convex optimization via low-rank approximation ICML 2022 Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022 Recovering shared structure from multiple networks with unknown edge distributions JMLR 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences NAACL 2022 Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee JMLR 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022