Random Gegenbauer Features for Scalable Kernel Methods

7 February 2022

Papers citing "Random Gegenbauer Features for Scalable Kernel Methods"

5 / 5 papers shown

Title
Scalable Neural Network Kernels Arijit Sehanobish Krzysztof Choromanski Yunfan Zhao Kumar Avinava Dubey Valerii Likhosherstov 41 4 0 20 Oct 2023
Orthogonal Random Features: Explicit Forms and Sharp Inequalities N. Demni Hachem Kadri 27 1 0 11 Oct 2023
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Mateus P. Otto Rafael Izbicki 35 1 0 11 Nov 2022
Near Optimal Reconstruction of Spherical Harmonic Expansions A. Zandieh Insu Han H. Avron 16 0 0 25 Feb 2022
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 86 277 0 09 Aug 2012