Predictive Entropy Search for Multi-objective Bayesian Optimization

17 November 2015

Daniel Hernández-Lobato

José Miguel Hernández-Lobato

Amar Shah

Ryan P. Adams

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Papers citing "Predictive Entropy Search for Multi-objective Bayesian Optimization"

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Title
Pareto-frontier Entropy Search with Variational Lower Bound Maximization Masanori Ishikura Masayuki Karasuyama 63 0 0 31 Jan 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 80 0 0 31 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 86 0 0 22 Jan 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML Daphne Theodorakopoulos Frederic Stahl Marius Lindauer 87 3 0 03 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 146 0 0 06 Nov 2024
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining Wenyu Wang Zheyi Fan Szu Hui Ng 33 0 0 24 May 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics Md. Abir Hossen Sonam Kharade Jason M. O'Kane B. Schmerl David Garlan Pooyan Jamshidi 27 1 0 08 Feb 2024
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 77 0 28 Feb 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Shuhei Watanabe Noor H. Awad Masaki Onishi Frank Hutter 31 8 0 13 Dec 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies W. Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 45 11 0 04 Oct 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 30 22 0 27 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti F. Archetti 30 15 0 18 May 2022
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal Nitthilan Kanappan Jayakodi J. Doppa 18 82 0 12 Apr 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 26 28 0 20 Jan 2022
Vector Optimization with Stochastic Bandit Feedback Shiao Liu Jian Huang 28 8 0 23 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 105 0 22 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 23 0 23 Jun 2021
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 6 41 0 02 Nov 2020
Gaussian Process Molecule Property Prediction with FlowMO Henry B. Moss Ryan-Rhys Griffiths 21 23 0 02 Oct 2020
BOSS: Bayesian Optimization over String Spaces Henry B. Moss Daniel Beck Javier I. González David S. Leslie Paul Rayson 11 68 0 02 Oct 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 21 131 0 01 Sep 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 11 235 0 09 Jun 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 22 16 0 01 Apr 2020
The Kalai-Smorodinski solution for many-objective Bayesian optimization M. Binois Victor Picheny P. Taillandier A. Habbal 24 17 0 18 Feb 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 25 125 0 30 May 2018
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 19 168 0 09 Mar 2017
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes J. Herten Ivo Couckuyt T. Dhaene GP 11 1 0 01 Dec 2016
A Bayesian approach to constrained single- and multi-objective optimization Paul Feliot Julien Bect E. Vázquez 19 148 0 02 Oct 2015