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1403.5607
Cited By
Bayesian Optimization with Unknown Constraints
Conference on Uncertainty in Artificial Intelligence (UAI), 2014
22 March 2014
M. Gelbart
Jasper Snoek
Ryan P. Adams
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Papers citing
"Bayesian Optimization with Unknown Constraints"
50 / 158 papers shown
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
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BOW: Bayesian Optimization over Windows for Motion Planning in Complex Environments
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Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
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Yu Inatsu
Masayuki Karasuyama
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Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
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Jiang Guo
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Zetian Mao
Jiaxing Shen
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Junichiro Shiomi
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You Only Train Once
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Multi-Metric Adaptive Experimental Design under Fixed Budget with Validation
Qining Zhang
Tanner Fiez
Yi Liu
Wenyang Liu
206
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03 Jun 2025
Convergence Rates of Constrained Expected Improvement
Haowei Wang
Jingyi Wang
Zhongxiang Dai
Nai-Yuan Chiang
Szu Hui Ng
Cosmin G. Petra
286
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0
16 May 2025
Safety and optimality in learning-based control at low computational cost
IEEE Transactions on Automatic Control (TAC), 2025
Dominik Baumann
Krzysztof Kowalczyk
Cristian R. Rojas
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Pawel Wachel
211
1
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12 May 2025
Surrogate-based optimization of system architectures subject to hidden constraints
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Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
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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
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Unexpected Improvements to Expected Improvement for Bayesian Optimization
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Sebastian Ament
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
398
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08 Jan 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Conference on Robot Learning (CoRL), 2024
Yunyue Wei
Zeji Yi
Hongda Li
Saraswati Soedarmadji
Yanan Sui
350
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31 Dec 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
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Principled Bayesian Optimisation in Collaboration with Human Experts
Wenjie Xu
Masaki Adachi
Colin N. Jones
Michael A. Osborne
411
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Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
Computers and Chemical Engineering (Comput. Chem. Eng.), 2024
Markus Grimm
Sébastien Paul
Pierre Chainais
231
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Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
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Felix Biessmann
167
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CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
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Carl Hvarfner
Luigi Nardi
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358
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SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality
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298
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Robust Entropy Search for Safe Efficient Bayesian Optimization
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358
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Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
Zheyi Fan
Wenyu Wang
Szu Hui Ng
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186
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Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget
Dengwang Tang
Rahul Jain
Ashutosh Nayyar
Pierluigi Nuzzo
257
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A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Saad Hamid
Harald Oberhauser
Michael A. Osborne
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410
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Predicting Overtakes in Trucks Using CAN Data
Talha Hanif Butt
Prayag Tiwari
F. Alonso-Fernandez
232
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Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
Zonghan Zhang
Zijian Zhang
Zhiqian Chen
148
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Information-Theoretic Safe Bayesian Optimization
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
276
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Global Safe Sequential Learning via Efficient Knowledge Transfer
Cen-You Li
Olaf Duennbier
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
396
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22 Feb 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
Yunsheng Tian
Ane Zuniga
Xinwei Zhang
Johannes P. Dürholt
Payel Das
Jie Chen
Wojciech Matusik
Mina Konakovic-Lukovic
222
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Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty
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João Castanheira
Pedro Vicente
Ruben Martinez-Cantin
L. Jamone
Alexandre Bernardino
213
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Automatic dimensionality reduction of Twin-in-the-Loop Observers
Giacomo Delcaro
Riccardo Poli
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Simone Formentin
S. Savaresi
164
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18 Jan 2024
Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints
IEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2024
Shuang Li
Ke Li
Wei Li
Ming Yang
184
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High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring
Hauke Maathuis
R. Breuker
Saullo G. P. Castro
AI4CE
187
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Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shengbo Wang
Ke Li
265
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Looping in the Human Collaborative and Explainable Bayesian Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Masaki Adachi
Brady Planden
David A. Howey
Michael A. Osborne
Sebastian Orbell
Natalia Ares
Krikamol Maundet
Siu Lun Chau
506
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26 Oct 2023
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints
Fengxue Zhang
Zejie Zhu
Yuxin Chen
187
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12 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation
Neural Information Processing Systems (NeurIPS), 2023
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
Molei Tao
DiffM
271
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Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
207
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Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach
Applied Energy (Appl. Energy), 2023
Wenjie Xu
B. Svetozarevic
L. D. Natale
P. Heer
Colin N. Jones
AI4CE
187
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01 Oct 2023
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023
Yunchuan Zhang
Sangwoo Park
Osvaldo Simeone
318
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30 Jun 2023
AutoML in Heavily Constrained Applications
The VLDB journal (VLDB J.), 2023
Felix Neutatz
Marius Lindauer
Ziawasch Abedjan
264
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Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Conference on Robot Learning (CoRL), 2023
Daniel Widmer
Dong-oh Kang
Bhavya Sukhija
Jonas Hübotter
Andreas Krause
Stelian Coros
303
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12 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Xingchen Wan
Vu Nguyen
Harald Oberhauser
Michael A. Osborne
318
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Bayesian Optimization of Expensive Nested Grey-Box Functions
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
232
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Constrained Causal Bayesian Optimization
International Conference on Machine Learning (ICML), 2023
Virginia Aglietti
Alan Malek
Ira Ktena
Silvia Chiappa
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198
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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
353
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Multi-objective optimisation via the R2 utilities
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
887
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SmartChoices: Augmenting Software with Learned Implementations
Daniel Golovin
Gábor Bartók
Eric Chen
Emily A. Donahue
Tzu-Kuo Huang
Efi Kokiopoulou
Ruoyan Qin
Nikhil Sarda
Justin Sybrandt
Vincent Tjeng
OffRL
212
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Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints
IEEE Conference on Decision and Control (CDC), 2023
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
299
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12 Apr 2023
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