Bayesian Optimization using Deep Gaussian Processes

Bayesian Optimization using Deep Gaussian Processes

7 May 2019

El-Ghazali Talbi

Papers citing "Bayesian Optimization using Deep Gaussian Processes"

14 / 14 papers shown

Title
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 34 0 0 16 Jul 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Gradient-enhanced deep Gaussian processes for multifidelity modelling Viv Bone Chris van der Heide Kieran Mackle Ingo Jahn P. Dower Chris Manzie 27 1 0 25 Feb 2024
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments Bastian Alt Darko Katic Rainer Jäkel Michael Beetz 23 6 0 15 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization S. Petit Julien Bect E. Vázquez 41 1 0 07 Jun 2022
A Sparse Expansion For Deep Gaussian Processes Liang Ding Rui Tuo Shahin Shahrampour 19 6 0 11 Dec 2021
Deep Gaussian Process Emulation using Stochastic Imputation Deyu Ming D. Williamson S. Guillas 11 30 0 04 Jul 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 30 37 0 31 Dec 2020
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 26 10 0 18 Jun 2020
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 25 16 0 06 Jun 2020
Learning Non-Stationary Space-Time Models for Environmental Monitoring S. Garg Amarjeet Singh F. Ramos 32 37 0 27 Apr 2018
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 391 0 02 Mar 2013