Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions

23 November 2015

Papers citing "Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions"

24 / 24 papers shown

Title
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 2024
Is novelty predictable? Clara Fannjiang Jennifer Listgarten AI4CE 17 14 0 01 Jun 2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization Haitong Ma Tianpeng Zhang Yixuan Wu Flavio du Pin Calmon Na Li 24 10 0 10 Mar 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 19 38 0 06 Oct 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 36 36 0 09 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 198 0 07 Jun 2022
Asynchronous ε-Greedy Bayesian Optimisation George De Ath Richard Everson J. Fieldsend 30 5 0 15 Oct 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 11 16 0 01 Apr 2020
$ε$ -shotgun: $ε$ -greedy Batch Bayesian Optimisation George De Ath Richard Everson J. Fieldsend Alma A. M. Rahat 21 15 0 05 Feb 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce J. Gardner Ryan D. Turner Matthias Poloczek 31 449 0 03 Oct 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 18 49 0 10 Sep 2019
Sampling Acquisition Functions for Batch Bayesian Optimization Alessandro De Palma Celestine Mendler-Dünner Thomas Parnell Andreea Anghel H. Pozidis 20 13 0 22 Mar 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju W. Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric P. Xing 29 174 0 15 Mar 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 11 32 0 18 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 23 44 0 29 Jan 2019
Efficient and Scalable Batch Bayesian Optimization Using K-Means Matthew J. Groves Edward O. Pyzer-Knapp 19 15 0 04 Jun 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 29 240 0 25 May 2018
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 30 177 0 06 Jun 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 18 9 0 15 Mar 2017
Theory of the GMM Kernel Ping Li Cun-Hui Zhang 17 23 0 01 Aug 2016
Linearized GMM Kernels and Normalized Random Fourier Features Ping Li 11 9 0 18 May 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 27 198 0 01 Mar 2016