Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

8 February 2019

Papers citing "Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces"

30 / 30 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-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 178 0 0 26 Jan 2025
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 51 5 0 18 Apr 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 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 Desautels Yuxin Chen 30 6 0 25 Jul 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 13 4 0 16 Feb 2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 29 5 0 07 Feb 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
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 43 7 0 14 Nov 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 33 4 0 24 Oct 2022
Active Exploration via Experiment Design in Markov Chains Mojmír Mutný Tadeusz Janik Andreas Krause 41 14 0 29 Jun 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 26 4 0 01 Jun 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces Mojmír Mutný Andreas Krause 35 11 0 26 May 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 30 4 0 10 May 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 31 24 0 15 Dec 2021
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 23 0 0 29 Nov 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 105 0 22 Sep 2021
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications A. Capone Armin Lederer Sandra Hirche 29 18 0 06 Sep 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 30 17 0 24 Dec 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 16 46 0 25 Feb 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
Projective Preferential Bayesian Optimization P. Mikkola Milica Todorović J. Järvi Patrick Rinke Samuel Kaski 20 18 0 08 Feb 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 22 14 0 27 Nov 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017