leverage score

Computing Lewis weights to high precision using local relative smoothness COLT 2026 Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning ICML 2025 Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025 A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024 Improved Active Learning via Dependent Leverage Score Sampling ICLR 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching CVPR 2024 Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023 Computing Approximate ℓ_p Sensitivities NeurIPS 2023 Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NeurIPS 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Towards a Unified Analysis of Random Fourier Features JMLR 2021 Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 Importance Sampling via Local Sensitivity AISTATS 2020 Towards a Unified Analysis of Random Fourier Features ICML 2019 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 An Iterative, Sketching-based Framework for Ridge Regression ICML 2018 Provable Variable Selection for Streaming Features ICML 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018 Recursive Sampling for the Nystrom Method NeurIPS 2017 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NeurIPS 2016 Sub-sampled Newton Methods with Non-uniform Sampling NeurIPS 2016