On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

24 February 2015

Papers citing "On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions"

11 / 11 papers shown

Title
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 55 89 0 25 Feb 2021
Large-scale Kernel Methods and Applications to Lifelong Robot Learning Raffaello Camoriano 42 1 0 11 Dec 2019
Gaussian Quadrature for Kernel Features Tri Dao Christopher De Sa Christopher Ré 36 49 0 08 Sep 2017
Random Features for Compositional Kernels Amit Daniely Roy Frostig Vineet Gupta Y. Singer CoGe 24 19 0 22 Mar 2017
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 43 328 0 14 Feb 2016
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 21 50 0 03 Dec 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne 38 88 0 08 Jun 2015
Learning with Group Invariant Features: A Kernel Perspective Youssef Mroueh S. Voinea T. Poggio VLM 25 35 0 08 Jun 2015
Control Functionals for Quasi-Monte Carlo Integration Chris J. Oates Mark Girolami 46 27 0 14 Jan 2015
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 46 227 0 21 Jul 2014
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 91 281 0 09 Aug 2012