Distributed Adaptive Sampling for Kernel Matrix Approximation

Distributed Adaptive Sampling for Kernel Matrix Approximation

27 March 2018

Daniele Calandriello

Papers citing "Distributed Adaptive Sampling for Kernel Matrix Approximation"

6 / 6 papers shown

Title
Generalized Leverage Scores: Geometric Interpretation and Applications Bruno Ordozgoiti Antonis Matakos A. Gionis 32 4 0 16 Jun 2022
Convergence of Sparse Variational Inference in Gaussian Processes Regression David R. Burt C. Rasmussen Mark van der Wilk 21 69 0 01 Aug 2020
Sampling from a $k$ -DPP without looking at all items Daniele Calandriello Michal Derezinski Michal Valko 19 22 0 30 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 34 172 0 23 Apr 2020
Randomized Clustered Nystrom for Large-Scale Kernel Machines Farhad Pourkamali Anaraki Stephen Becker 26 33 0 20 Dec 2016
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 83 277 0 09 Aug 2012