Carl Hvarfner

PhD Student

Lund University, WASP

About me

I am a fourth-year PhD student in Machine Learning, specifically Bayesian Optimization, at Lund University in Sweden. In May 2024, I will be joining Meta as a Research Scientist Intern, working on Adaptive Experimentation and Bayesian Optimization.

My Github containing various research- and non-research-related projects

Research

May, 2024: My work Vanilla Bayesian Optimization Performs Great in High Dimensions was accepted to ICML 2024!
January, 2024: My work A General Framework for User-Guided Bayesian Optimization was accepted to ICLR 2024 as a Spotlight presentation (top 5%)!
September, 2023: My work Self-Correcting Bayesian Optimization through Bayesian Active Learning was accepted to NeurIPS 2023!

Outreach

[AutoML Seminar talk:] I am scheduled to present at the AutoML Seminar series on June 13, 2024.
[Talk at Unversity of Copenhagen:] I recently presented my work on high-dimensional Bayesian Optiization at the Pioneer Center for AI in Copenhagen on May 3, 2024.
SecondMind talk: A large portion of my work was presented by my supervisor, Luigi Nardi, at SecondMind

Last news

Last publications

Carl Hvarfner, Frank Hutter, Luigi Nardi (2023). A General Framework for User-guided Bayesian Optimization. International Conference on Learning Representations, 2024 (Spotlight)..

Link

Carl Hvarfner, Frank Hutter, Luigi Nardi (2023). A General Framework for User-guided Bayesian Optimization. International Conference on Learning Representations, 2024 (Spotlight)..

Link

Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi (2023). Self-Correcting Bayesian Optimization through Bayesian Active Learning. 37th Conference on Neural Information Processing Systems (NeurIPS), 2023..

Link

Neeratyoy Mallik, Eddie Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter (2023). PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. 37th Conference on Neural Information Processing Systems (NeurIPS), 2023..

Link

Carl Hvarfner, Erik Hellsten, Luigi Nardi (2023). High-Dimensional Bayesian Optimization with Group Testing. International Conference of Machine Learning, 2024..

Link

Carl Hvarfner, Frank Hutter, Luigi Nardi (2022). Joint Entropy Search for Maximally-Informed Bayesian Optimization. 36th Conference on Neural Information Processing Systems (NeurIPS), 2022..

Link

Matthias Mayr, Carl Hvarfner, Konstantinos Chatzilygeroudis, Luigi Nardi, Volker Krueger (2022). Learning Skill-Based Industrial Robot Tasks with User Priors. IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022..

Link

Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi (2022). πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. International Conference on Learning Representations, 2022..

Link

Contact

carl.hvarfner@live.se