Streaming kernel regression with provably adaptive mean, variance, and regularization

2 August 2017

Papers citing "Streaming kernel regression with provably adaptive mean, variance, and regularization"

8 / 8 papers shown

Title
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 103 1 0 10 Sep 2024
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters Ziyun Wang Nando de Freitas 111 89 0 30 Jun 2014
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 198 275 0 26 Sep 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 211 1,006 0 15 Sep 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 384 7,981 0 13 Jun 2012
Explicit Approximations of the Gaussian Kernel Andrew Cotter Joseph Keshet Nathan Srebro 102 61 0 21 Sep 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 181 1,626 0 21 Dec 2009
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 418 545 0 21 Jul 2009