Community

Workshops, schools, lectures, and write-ups.

Schools and groups

• Gaussian Process Summer School - Annual lectures on GPs, often including BO.
• AutoML - HPO, NAS, and BO research group and conference.
• Probabilistic Numerics - GPs, quadrature, and BO as numerical methods.
• Advances in Bayesian Optimization - NeurIPS 2022 tutorial (Doppa, Aglietti, Gardner).
• BoTorch documentation - Tutorials for TuRBO, SAASBO, qEHVI, and constraints.

Videos

• Bayesian Optimization (Garnett, 2023) - Lecture at the Probabilistic Numerics Spring School.
• A Gentle Introduction to Bayesian Optimization (Baird, 2023) - Accelerate Conference, University of Toronto.
• Bayesian Optimization: Fundamentals, Implementation, and Practice (Nguyen, 2022) - PyData Global.
• Bayesian Optimization (Frazier, 2018) - INFORMS tutorial talk.
• Bayesian Optimization (Hoffman, 2018) - UAI tutorial.
• Bayesian Optimization with scikit-learn (Huijskens, 2017) - PyData London.
• Global Optimization with Gaussian Processes (González, 2015) - Gaussian Process Summer School.

Blogs

• PlugBO: A Modular Framework for Agentic Bayesian Optimization - Richard Cornelius Suwandi, 2026.
• A Unified View of Bayesian Optimization and Active Learning - Richard Cornelius Suwandi, 2024.
• Bayesian Optimization - Martin Krasser, 2018. From-scratch GP and EI derivation.
• Bayesian Optimization with scikit-learn - Thomas Huijskens, 2016.