Fourier Sparse Leverage Scores and Approximate Kernel Learning

12 June 2020

Papers citing "Fourier Sparse Leverage Scores and Approximate Kernel Learning"

9 / 9 papers shown

Title
Importance Sampling for Nonlinear Models Prakash Palanivelu Rajmohan Fred Roosta 22 0 0 18 May 2025
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 57 2 0 02 Oct 2024
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar Chinmay Hegde Christopher Musco 40 12 0 24 Oct 2022
On The Relative Error of Random Fourier Features for Preserving Kernel Distance Kuan Cheng S. Jiang Luojian Wei Zhide Wei 54 1 0 01 Oct 2022
Generalized Leverage Scores: Geometric Interpretation and Applications Bruno Ordozgoiti Antonis Matakos Aristides Gionis 34 4 0 16 Jun 2022
Near Optimal Reconstruction of Spherical Harmonic Expansions A. Zandieh Insu Han H. Avron 29 0 0 25 Feb 2022
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens 31 4 0 03 Nov 2020
Hutch++: Optimal Stochastic Trace Estimation R. A. Meyer Cameron Musco Christopher Musco David P. Woodruff 31 106 0 19 Oct 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 51 172 0 23 Apr 2020