Co-occurring keywords · papers mentioning both
Papers
Computing Lewis weights to high precision using local relative smoothness
COLT 2026
Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning
EMNLP 2025
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NeurIPS 2024
DiffRed: Dimensionality reduction guided by stable rank
AISTATS 2024
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
AAAI 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection
NeurIPS 2024
A Batch-to-Online Transformation under Random-Order Model
NeurIPS 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
ICML 2023
Computing Approximate ℓ_p Sensitivities
NeurIPS 2023
Fast Online Node Labeling for Very Large Graphs
ICML 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
AISTATS 2023
Moments, Random Walks, and Limits for Spectrum Approximation
COLT 2023
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
AAAI 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
NeurIPS 2023
Tight Bounds for Volumetric Spanners and Applications
NeurIPS 2023
A generalization of the randomized singular value decomposition
ICLR 2022
A Perturbation-Based Kernel Approximation Framework
JMLR 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
NeurIPS 2022
Generalized Leverage Scores: Geometric Interpretation and Applications
ICML 2022
KoPA: Automated Kronecker Product Approximation
JMLR 2022
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
JMLR 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
ICML 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks
ICML 2022
Private Matrix Approximation and Geometry of Unitary Orbits
COLT 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
NeurIPS 2022