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"

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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
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 46 2 0 22 Feb 2024
Inverse Protein Folding Using Deep Bayesian Optimization N. Maus Yimeng Zeng Daniel A. Anderson Phillip M. Maffettone Aaron C. Solomon Peyton Greenside Osbert Bastani Jacob R. Gardner 17 2 0 25 May 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 30 4 0 26 Apr 2023
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
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 14 38 0 06 Oct 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 197 0 07 Jun 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 17 13 0 31 Jan 2022
Maximizing information from chemical engineering data sets: Applications to machine learning Alexander Thebelt Johannes Wiebe Jan Kronqvist Calvin Tsay Ruth Misener AI4CE 32 68 0 25 Jan 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 26 17 0 24 Jan 2022
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 31 4 0 26 Nov 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 29 23 0 23 Jun 2021
Fast Design Space Exploration of Nonlinear Systems: Part I S. Narain Emily Mak Dana Chee Brendan Englot K. Pochiraju N. Jha Karthik Narayan 22 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 25 17 0 19 Feb 2021
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 16 4 0 21 Apr 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 27 95 0 20 Feb 2020
The Kalai-Smorodinski solution for many-objective Bayesian optimization M. Binois Victor Picheny P. Taillandier A. Habbal 13 17 0 18 Feb 2019
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 8 45 0 14 Sep 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes Yanan Sui Vincent Zhuang J. W. Burdick Yisong Yue 11 139 0 20 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 25 483 0 12 Apr 2018
A Bayesian approach to constrained single- and multi-objective optimization Paul Feliot Julien Bect E. Vázquez 19 148 0 02 Oct 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012