Bayesian Optimization with Unknown Constraints

22 March 2014

Papers citing "Bayesian Optimization with Unknown Constraints"

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Title
Safety and optimality in learning-based control at low computational cost Dominik Baumann Krzysztof Kowalczyk Cristian R. Rojas K. Tiels Pawel Wachel 34 0 0 12 May 2025
Surrogate-based optimization of system architectures subject to hidden constraints J. Bussemaker P. Saves N. Bartoli T. Lefebvre Björn Nagel AI4CE 157 2 0 11 Apr 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 184 0 0 26 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 170 0 0 06 Nov 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty João Castanheira Pedro Vicente Ruben Martinez-Cantin L. Jamone Alexandre Bernardino 21 11 0 10 Feb 2024
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 18 22 0 02 Oct 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 28 2 0 25 May 2023
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 167 3 0 19 May 2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints Wenjie Xu Colin N. Jones B. Svetozarevic C. Laughman Ankush Chakrabarty 22 9 0 28 Jan 2023
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Matthias Feurer Katharina Eggensperger Eddie Bergman Florian Pfisterer B. Bischl Frank Hutter 51 5 0 08 Dec 2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 25 7 0 21 Nov 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control Lizhi Yang Zhongyu Li Jun Zeng K. Sreenath 16 13 0 04 Mar 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 31 17 0 24 Jan 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints Yunxiang Zhang Xinming Zhang P. Frazier 27 7 0 06 Dec 2021
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 31 4 0 26 Nov 2021
Failure-averse Active Learning for Physics-constrained Systems Cheolhei Lee Xing Wang Jianguo Wu Xiaowei Yue AI4CE 19 7 0 27 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 27 36 0 20 Oct 2021
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints Wenjie Xu Colin N. Jones B. Svetozarevic C. Laughman Ankush Chakrabarty 29 25 0 14 Oct 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 85 448 0 13 Jul 2021
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 17 65 0 28 Jun 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 24 50 0 24 Jun 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 37 17 0 19 Feb 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 31 16 0 15 Dec 2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform Yao Yang Andrew Nam M. Nasr-Azadani Teresa Tung 16 6 0 30 Oct 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 11 236 0 09 Jun 2020
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning Lama Alfaseeh R. Tu Bilal Farooq M. Hatzopoulou 26 46 0 16 Apr 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 30 77 0 20 Feb 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 22 87 0 30 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads Rekha Singhal Nathan Zhang Luigi Nardi M. Shahbaz K. Olukotun 11 8 0 24 May 2019
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 11 86 0 11 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 16 45 0 14 Sep 2018
An informative path planning framework for UAV-based terrain monitoring Marija Popović Teresa Vidal-Calleja Gregory Hitz Jen Jen Chung Inkyu Sa Roland Siegwart Juan I. Nieto 17 136 0 08 Sep 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 27 139 0 20 Jun 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Optimal-margin evolutionary classifier M. Bonyadi David Reutens 22 8 0 26 Apr 2018
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 2017
Occupancy Map Building through Bayesian Exploration Gilad Francis Lionel Ott Román Marchant F. Ramos 16 21 0 01 Mar 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 21 110 0 15 Dec 2016
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Victor Picheny R. Gramacy Stefan M. Wild Sébastien Le Digabel 11 91 0 31 May 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 26 275 0 14 Feb 2016
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala J. Hopcroft 26 65 0 19 Nov 2015
A Bayesian approach to constrained single- and multi-objective optimization Paul Feliot Julien Bect E. Vázquez 19 149 0 02 Oct 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 25 152 0 18 Feb 2015