Stagewise Safe Bayesian Optimization with Gaussian Processes

20 June 2018

Papers citing "Stagewise Safe Bayesian Optimization with Gaussian Processes"

36 / 36 papers shown

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
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 151 0 0 26 Jan 2025
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 29 2 0 02 Sep 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 38 0 0 27 Jul 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 49 2 0 22 Feb 2024
Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer Mona Meister D. Nguyen-Tuong AI4TS 18 52 0 09 Feb 2024
Towards Safe Multi-Task Bayesian Optimization Jannis O. Lübsen Christian Hespe Annika Eichler 26 3 0 12 Dec 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 30 6 0 25 Jul 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints Wenjie Xu Colin N. Jones B. Svetozarevic C. Laughman Ankush Chakrabarty 14 9 0 28 Jan 2023
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 25 13 0 09 Dec 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints Heng Guo Qi Zhu Xin Liu 13 11 0 27 Nov 2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 17 7 0 21 Nov 2022
Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework Buse Sibel Korkmaz Marta Zagórowska Mehmet Mercangöz AI4CE 16 3 0 21 Nov 2022
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm Buse Sibel Korkmaz Marta Zagórowska Mehmet Mercangöz 22 2 0 10 Nov 2022
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 37 15 0 03 Nov 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta M. Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 19 38 0 06 Oct 2022
Active Learning with Safety Constraints Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin G. Jamieson 23 12 0 22 Jun 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 28 13 0 31 Jan 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
Safety-Aware Preference-Based Learning for Safety-Critical Control Ryan K. Cosner Maegan Tucker Andrew J. Taylor Kejun Li Tamás G. Molnár Wyatt Ubellacker Anil Alan G. Orosz Yisong Yue Aaron D. Ames 26 24 0 15 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
Best Arm Identification with Safety Constraints Zhenlin Wang Andrew Wagenmaker Kevin G. Jamieson 14 21 0 23 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
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 21 25 0 14 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 31 51 0 20 Aug 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits Sanae Amani Christos Thrampoulidis 17 10 0 21 Mar 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 23 126 0 15 Sep 2020
Preferential Bayesian optimisation with Skew Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 20 20 0 15 Aug 2020
Safe Linear Thompson Sampling with Side Information Ahmadreza Moradipari Sanae Amani M. Alizadeh Christos Thrampoulidis 11 42 0 06 Nov 2019
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 13 87 0 30 Oct 2019
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 17 15 0 26 Oct 2019
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 14 117 0 16 Aug 2019
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012