Gaussian Quadrature for Kernel Features

8 September 2017

Papers citing "Gaussian Quadrature for Kernel Features"

11 / 11 papers shown

Title
Kernel Interpolation with Sparse Grids Mohit Yadav Daniel Sheldon Cameron Musco 23 5 0 23 May 2023
On The Relative Error of Random Fourier Features for Preserving Kernel Distance Kuan Cheng S. Jiang Luojian Wei Zhide Wei 47 1 0 01 Oct 2022
Learning nonparametric ordinary differential equations from noisy data Kamel Lahouel Michael L. Wells Victor Rielly Ethan Lew David M Lovitz Bruno Jedynak 34 5 0 30 Jun 2022
Efficient Fourier representations of families of Gaussian processes P. Greengard 38 3 0 28 Sep 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 54 491 0 17 Aug 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces Kan Li José C. Príncipe 18 1 0 01 Jan 2020
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 20 10 0 18 Dec 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 27 190 0 16 Mar 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 309 13,373 0 25 Aug 2014