leverage score sampling

Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025 Incremental Nyström-based Multiple Kernel Clustering AAAI 2025 Provably Accurate Shapley Value Estimation via Leverage Score Sampling ICLR 2025 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond ICML 2024 Efficient Leverage Score Sampling for Tensor Train Decomposition NeurIPS 2024 Turnstile ℓ_p leverage score sampling with applications ICML 2024 Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 Efficient Learning of Linear Graph Neural Networks via Node Subsampling NeurIPS 2023 Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NeurIPS 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022 LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022 Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra ICML 2022 Sample Constrained Treatment Effect Estimation NeurIPS 2022 Subquadratic Kronecker Regression with Applications to Tensor Decomposition NeurIPS 2022 A Sampling-Based Method for Tensor Ring Decomposition ICML 2021 Sparse sketches with small inversion bias COLT 2021 Generalized Leverage Score Sampling for Neural Networks NeurIPS 2020 Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020 Active Regression via Linear-Sample Sparsification COLT 2019 Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019 Leveraged volume sampling for linear regression NeurIPS 2018