low-rank approximation

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NeurIPS 2023 Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023 Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation AISTATS 2023 Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints ACL 2023 Kissing to Find a Match: Efficient Low-Rank Permutation Representation NeurIPS 2023 Learning the Positions in CountSketch ICLR 2023 LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023 Low-Rank Updates of pre-trained Weights for Multi-Task Learning ACL 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NeurIPS 2023 Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NeurIPS 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations COLT 2023 Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms NeurIPS 2023 Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation ICLR 2023 SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams. ICLR 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NeurIPS 2023 Unbalanced Low-rank Optimal Transport Solvers NeurIPS 2023 Capturing Graphs with Hypo-Elliptic Diffusions NeurIPS 2022 Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks NeurIPS 2022 Compressible-composable NeRF via Rank-residual Decomposition NeurIPS 2022 Continual Learning with Filter Atom Swapping ICLR 2022 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation AAAI 2022