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Optimizing Posterior Samples for Bayesian Optimization via Rootfinding

29 October 2024

Papers citing "Optimizing Posterior Samples for Bayesian Optimization via Rootfinding"

27 / 27 papers shown

Title
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 92 82 0 08 Jan 2025
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization Ruda Zhang Negin Alemazkoor AI4CE 74 3 0 30 Oct 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization Bach Do Taiwo A. Adebiyi Ruda Zhang 77 6 0 01 Mar 2024
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 87 13 0 24 Nov 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent J. Lin Javier Antorán Shreyas Padhy David Janz José Miguel Hernández-Lobato Alexander Terenin 108 25 0 20 Jun 2023
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 93 39 0 06 Oct 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 83 38 0 09 Jun 2022
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 107 61 0 08 Nov 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 82 241 0 09 Jun 2020
Efficiently Sampling Functions from Gaussian Process Posteriors James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 81 165 0 21 Feb 2020
On Local Optimizers of Acquisition Functions in Bayesian Optimization Jungtaek Kim Seungjin Choi 56 19 0 24 Jan 2019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 151 344 0 06 Jul 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 153 250 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 81 185 0 06 Jun 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 129 463 0 03 Apr 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 178 413 0 06 Mar 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 93 202 0 21 Nov 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 73 161 0 16 Feb 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 85 160 0 23 Nov 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 109 647 0 10 Jun 2014
An Information-Theoretic Analysis of Thompson Sampling Daniel Russo Benjamin Van Roy 197 426 0 21 Mar 2014
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 251 219 0 21 Jan 2014
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud J. Lloyd Roger C. Grosse J. Tenenbaum Zoubin Ghahramani 117 511 0 20 Feb 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 244 703 0 11 Jan 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 391 7,989 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 135 673 0 06 Dec 2011
Convergence rates of efficient global optimization algorithms Adam D. Bull 161 643 0 18 Jan 2011