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A General Framework for Constrained Bayesian Optimization using Information-based Search

30 November 2015

José Miguel Hernández-Lobato

Papers citing "A General Framework for Constrained Bayesian Optimization using Information-based Search"

50 / 51 papers shown

Title
Multi-Metric Adaptive Experimental Design under Fixed Budget with Validation Qining Zhang Tanner Fiez Yi Liu Wenyang Liu 66 0 0 03 Jun 2025
Safety and optimality in learning-based control at low computational cost Dominik Baumann Krzysztof Kowalczyk Cristian R. Rojas K. Tiels Pawel Wachel 65 0 0 12 May 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 97 0 0 31 Dec 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 114 2 0 22 Feb 2024
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction Yunchuan Zhang Sangwoo Park Osvaldo Simeone 55 10 0 30 Jun 2023
Inverse Protein Folding Using Deep Bayesian Optimization Natalie Maus Yimeng Zeng Daniel A. Anderson Phillip M. Maffettone Aaron C. Solomon Peyton Greenside Osbert Bastani Jacob R. Gardner 96 3 0 25 May 2023
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Matthias Feurer Katharina Eggensperger Eddie Bergman Florian Pfisterer B. Bischl Frank Hutter 116 5 0 08 Dec 2022
Discovering Many Diverse Solutions with Bayesian Optimization Natalie Maus Kaiwen Wu David Eriksson Jacob R. Gardner 133 25 0 20 Oct 2022
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design Ji Won Park Samuel Stanton Saeed Saremi Andrew Watkins Henri Dwyer Vladimir Gligorijević Richard Bonneau Stephen Ra Kyunghyun Cho 75 12 0 08 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 93 39 0 06 Oct 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 86 233 0 07 Jun 2022
On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou Bo Ji 69 30 0 29 Mar 2022
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization Johannes Kirschner Mojmír Mutný Andreas Krause J. C. D. Portugal N. Hiller J. Snuverink 37 12 0 26 Mar 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 68 13 0 31 Jan 2022
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation M. A. Khan Alexander I. Cowen-Rivers Antoine Grosnit Derrick-Goh-Xin Deik Philippe A. Robert ... Rasul Tutunov Dany Bou-Ammar Jun Wang Amos Storkey Haitham Bou-Ammar 208 23 0 29 Jan 2022
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding A. Hernández Sebastian Rojas Gonzalez I. Nieuwenhuyse Ivo Couckuyt Jeroen Jordens M. Witters Bart Van Doninck 38 0 0 16 Dec 2021
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 100 4 0 26 Nov 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces Aryan Deshwal J. Doppa BDL 103 44 0 01 Nov 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 96 25 0 23 Jun 2021
Local policy search with Bayesian optimization Sarah Müller Alexander von Rohr Sebastian Trimpe BDL 89 42 0 22 Jun 2021
OpenBox: A Generalized Black-box Optimization Service Yang Li Yu Shen Wentao Zhang Yuan-Wei Chen Huaijun Jiang ... Jinyang Gao Wentao Wu Zhi-Xin Yang Ce Zhang Tengjiao Wang 81 77 0 01 Jun 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 60 37 0 27 May 2021
Fast Design Space Exploration of Nonlinear Systems: Part I S. Narain Emily Mak Dana Chee Brendan Englot K. Pochiraju N. Jha Karthik Narayan 74 5 0 05 Apr 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 110 20 0 19 Feb 2021
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization Wenjie Chen Shengcai Liu Ke Tang 52 7 0 20 Jan 2021
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback Yijie Zhou Yan Zhang Xusheng Luo Michael M. Zavlanos 47 5 0 03 Nov 2020
Robot Learning with Crash Constraints A. Marco Dominik Baumann Majid Khadiv Philipp Hennig Ludovic Righetti Sebastian Trimpe 86 29 0 16 Oct 2020
Mean-Variance Analysis in Bayesian Optimization under Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 77 34 0 17 Sep 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization Francesco Grassi Giorgio Manganini Michele Garraffa L. Mainini 68 6 0 09 Jul 2020
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures A. Marco Alexander von Rohr Dominik Baumann José Miguel Hernández-Lobato Sebastian Trimpe 56 7 0 15 May 2020
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design R. Priem N. Bartoli Y. Diouane A. Sgueglia 31 47 0 11 May 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 42 4 0 21 Apr 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 95 102 0 20 Feb 2020
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 98 89 0 30 Oct 2019
Constrained Bayesian Optimization with Max-Value Entropy Search Valerio Perrone I. Shcherbatyi Rodolphe Jenatton Cédric Archambeau Matthias Seeger 67 42 0 15 Oct 2019
Efficient Transfer Bayesian Optimization with Auxiliary Information Tomoharu Iwata Takuma Otsuka 69 2 0 17 Sep 2019
Multi-Objective Automatic Machine Learning with AutoxgboostMC Florian Pfisterer Stefan Coors Janek Thomas B. Bischl 65 17 0 28 Aug 2019
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties A. Marco Dominik Baumann Philipp Hennig Sebastian Trimpe 50 3 0 24 Jul 2019
Bayesian Optimization with Binary Auxiliary Information Yehong Zhang Zhongxiang Dai K. H. Low 64 26 0 17 Jun 2019
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design Maryam Parsa Aayush Ankit A. Ziabari Kaushik Roy 72 28 0 11 Jun 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 73 78 0 04 Jun 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 94 275 0 21 Dec 2018
Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed Sharan Vaswani Mark Schmidt 61 22 0 10 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 67 45 0 14 Sep 2018
Designing Adaptive Neural Networks for Energy-Constrained Image Classification Dimitrios Stamoulis Ting-Wu Chin Anand P. Krishnan Haocheng Fang S. Sajja Mitchell Bognar Diana Marculescu 97 64 0 05 Aug 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 111 143 0 20 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 161 493 0 12 Apr 2018
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks Dimitrios Stamoulis E. Cai Da-Cheng Juan Diana Marculescu 71 72 0 06 Dec 2017
A Bayesian optimization approach to find Nash equilibria Victor Picheny M. Binois A. Habbal 86 35 0 08 Nov 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 89 112 0 05 Sep 2016