Gaussian Process Optimization with Adaptive Sketching: Scalable and No
Regret

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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

13 March 2019

Daniele Calandriello

Luigi Carratino

Lorenzo Rosasco

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Papers citing "Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret"

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Title
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 445 0 0 10 Feb 2025
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Kernel Methods for Cooperative Multi-Agent Contextual Bandits Abhimanyu Dubey Alex Pentland 125 29 0 14 Aug 2020
Statistical and Computational Trade-Offs in Kernel K-Means Daniele Calandriello Lorenzo Rosasco 51 32 0 27 Aug 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 115 695 0 03 Jul 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 73 216 0 05 Jun 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 127 463 0 03 Apr 2017
An Introduction to Matrix Concentration Inequalities J. Tropp 178 1,155 0 07 Jan 2015
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 196 275 0 26 Sep 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 384 7,981 0 13 Jun 2012

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