Safe Bayesian Optimization

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Overview

Safe Bayesian optimization studies how to improve an unknown system without making experiments that violate limits such as temperature, stability, or collision risk. Common approaches use Gaussian-process models and uncertainty bounds to choose promising experiments inside a safe region, with newer methods also using conformal prediction, sampled uncertainty tubes, partial physics models, or feedback about crashes and preferences. These methods are useful for expensive physical experiments and robotic control, where failures can be costly and observations are limited. The central tension is between exploring enough to find good designs and maintaining reliable safety guarantees, which can depend on modeling assumptions and may weaken under distribution shift.

Latest papers

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12 papers0 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off

    Aug 29, 2026Gordei VerbiiGaussian Process RegressionSafe Bayesian Optimization

    Independent Researcher

  2. Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection

    Jul 21, 2026Shing-Hei Ho, Bao Thach, Toan Vo +2Safe Bayesian OptimizationSurgical Robotics

    The Robotics Center and the Kahlert School of Computing at the University of Utah, Salt Lake City, UT, USA · School of Computational Science and Engineering, Georgia Institute of Technology, GA, USA · Department of Electrical and Computer Engineering and Department of Computer Science, Vanderbilt University, TN, USA

  3. Safe Bayesian Optimization with Counterfactual Policies

    Jul 6, 2026Katherine Avery, Bruno Castro da Silva, David JensenSafe Bayesian Optimization

    College of Computer Science University of Massachusetts Amherst Amherst, MA 01002

  4. Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows

    Jun 10, 2026Shengli Jiang, Jason Wu, Charles M. Schroeder +1Molecular OptimizationBayesian Optimization

    Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08540, USA

  5. Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge

    Jun 7, 2026Liqiu Dong, Marta Zagórowska, Mehmet MercangözBayesian OptimizationSafe Bayesian Optimization

    Department of Chemical Engineering, Imperial College London, London, UK · DCSC, Delft University of Technology, Delft, Netherlands

  6. Local Preferential Bayesian Optimization

    Jun 1, 2026Johanna Menn, Miriam Kober, Paul Brunzema +2Pairwise Preference LearningPairwise Preference Evaluation

    Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany · Department of Clinical Research, University of Bern, Bern, Switzerland · Center for Reproducible Science and Research Synthesis, University of Zurich, Zurich, Switzerland +1

  7. Progressive Autonomy as Preference Learning: A Formalization of Trust Calibration for Agentic Tool Use

    May 18, 2026Changkun OuTool-Using AgentsSafe Bayesian Optimization

  8. Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery

    May 18, 2026Xinzhe Yuan, Zhuo Chen, Jianshu Zhang +4Bayesian OptimizationLarge Language Model-Guided Optimization

    Shanghai Artificial Intelligence Laboratory, Shanghai, China · Shanghai Jiao Tong University, Shanghai, China · Harbin Institute of Technology, Harbin, China

  9. Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization

    May 13, 2026Jannis Lübsen, Annika EichlerBayesian OptimizationGaussian Processes

    Institute of Control Systems, Hamburg University of Technology, Hamburg, Germany · Institute of Control Systems, Hamburg University of Technology · Deutsches Elektronen-Synchrotron, Hamburg, Germany

  10. Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization

    May 6, 2026Noel ThomasCausal Effect EstimationConditional Average Treatment Effect Estimation

    Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, UAE

  11. Preferential Bayesian Optimization with Crash Feedback

    Apr 2, 2026Johanna Menn, David Stenger, Sebastian TrimpeBayesian OptimizationSafe Bayesian Optimization

    Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University, Aachen, Germany · aiXopt GmbH, Aachen, Germany

  12. Safe learning-based control via function-based uncertainty quantification

    Apr 1, 2026Abdullah Tokmak, Toni Karvonen, Thomas B. Schön +1Uncertainty QuantificationSafety-Critical Control

    Cyber-physical Systems Group, Aalto University, Espoo, Finland · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland · Department of Information Technology, Uppsala University, Uppsala, Sweden