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Bayesian Optimisation (Dagstuhl Seminar 25451)

Authors Jürgen Branke, Frank Hutter, Giulia Pedrielli, Matthias Poloczek, Leonard Papenmeier and all authors of the abstracts in this report

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Subject Classification

ACM Subject Classification
  • Mathematics of computing → Bayesian computation
  • Computing methodologies → Gaussian processes
  • Computing methodologies → Machine learning approaches
Keywords
  • AutoML
  • Bayesian optimization
  • Benchmarking
  • Gaussian processes

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Abstract

This report documents the programme and outcomes of Dagstuhl Seminar 25451, "Bayesian Optimisation", held from November 2–7, 2025. The seminar brought together 39 international experts from machine learning, optimisation, statistics, and engineering to discuss recent advances, open challenges, and emerging research directions in Bayesian optimisation. The programme comprised plenary talks spanning foundational issues, benchmarking, and the growing interaction between Bayesian optimisation and generative AI, alongside focused working groups on key thematic areas. Beyond technical discussions, the seminar placed strong emphasis on community building and worked towards establishing best practices. This report summarises the plenary contributions, the outcomes of the working groups, and additional community-driven activities, including a collection of practical "tricks of the trade" and exploratory benchmarking exercises.

Cite As Get BibTex

Jürgen Branke, Frank Hutter, Giulia Pedrielli, Matthias Poloczek, and Leonard Papenmeier. Bayesian Optimisation (Dagstuhl Seminar 25451). In Dagstuhl Reports, Volume 15, Issue 11, pp. 1-66, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/DagRep.15.11.1

Author Details

Jürgen Branke
  • University of Warwick, GB
Frank Hutter
  • Prior Labs - Freiburg, DE & ELLIS Institute Tübingen, DE & Universität Freiburg, DE
Giulia Pedrielli
  • Arizona State University - Tempe, US
Matthias Poloczek
  • Amazon.com - San Francisco, US
Leonard Papenmeier
  • Universität Münster, DE
and all authors of the abstracts in this report
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