Convergence rates of efficient global optimization algorithms

18 January 2011

Papers citing "Convergence rates of efficient global optimization algorithms"

18 / 18 papers shown

Title
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 333 0 0 10 Feb 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 111 2 0 10 Feb 2025
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 120 2 0 23 Jan 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 152 2 0 29 Oct 2024
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 56 1 0 22 Oct 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 56 0 0 30 Aug 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 78 1 0 24 Jun 2024
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization S. Petit Julien Bect E. Vázquez 73 1 0 07 Jun 2022
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization Bjorn Engquist Kui Ren Yunan Yang 44 6 0 12 Apr 2022
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 94 27 0 30 May 2018
Confidence Intervals for Projections of Partially Identified Parameters Hiroaki Kaido Francesca Molinari Jörg Stoye 50 74 0 05 Jan 2016
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 116 2,437 0 12 Dec 2010
X-Armed Bandits Sébastien Bubeck Rémi Munos Gilles Stoltz Csaba Szepesvari 123 383 0 25 Jan 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 131 1,616 0 21 Dec 2009
Sharp Dichotomies for Regret Minimization in Metric Spaces Robert D. Kleinberg Aleksandrs Slivkins 83 37 0 06 Nov 2009
Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth Van der Vaart V. Zanten 84 252 0 25 Aug 2009
Reproducing kernel Hilbert spaces of Gaussian priors Van der Vaart V. Zanten 65 224 0 21 May 2008
Convergence properties of the expected improvement algorithm E. Vázquez Julien Bect 78 232 0 21 Dec 2007