Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

8 June 2020

Papers citing "Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation"

10 / 10 papers shown

Title
Wasserstein Barycenter Gaussian Process based Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 12 0 0 18 May 2025
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 34 1 0 15 May 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Generalisation Through Negation and Predicate Invention David M. Cerna Andrew Cropper NAI 35 3 0 18 Jan 2023
Atlas: Automate Online Service Configuration in Network Slicing Qiang Liu Nakjung Choi Tao Han 20 7 0 30 Oct 2022
Robust Bayesian optimization with reinforcement learned acquisition functions Zijing Liu Xiyao Qu Xuejun Liu Hongqiang Lyu 14 2 0 02 Oct 2022
Learning logic programs by combining programs Andrew Cropper Céline Hocquette AI4CE 24 7 0 01 Jun 2022
Predicate Invention by Learning From Failures Andrew Cropper Rolf Morel 19 12 0 29 Apr 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti Francesco Archetti 21 4 0 05 Feb 2021
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 0 0 13 Dec 2020