Carl Hvarfner (Former)

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2025
Mark Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
Hvarfner, Carl ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
Hellsten, Erik ^LU ; Hvarfner, Carl ^LU ; Papenmeier, Leonard ^LU and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2024
Mark Vanilla Bayesian Optimization Performs Great in High Dimensions
Hvarfner, Carl ^LU ; Hellsten, Erik O. ^LU and Nardi, Luigi ^LU (2024) 41st International Conference on Machine Learning, ICML 2024 In Proceedings of Machine Learning Research 235. p.20793-20817
- Contribution to journal › Article
Mark A GENERAL FRAMEWORK FOR USER-GUIDED BAYESIAN OPTIMIZATION
Hvarfner, Carl ^LU ; Hutter, Frank and Nardi, Luigi ^LU (2024) 12th International Conference on Learning Representations, ICLR 2024
- Contribution to conference › Paper, not in proceeding
2022
Mark πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Hvarfner, Carl ^LU ; Stoll, Danny ; Souza, Artur ; Lindauer, Marius ; Hutter, Frank and Nardi, Luigi ^LU (2022) Tenth International Conference of Learning Representations, ICLR 2022
- Contribution to conference › Paper, not in proceeding
Mark Joint Entropy Search for Maximally-Informed Bayesian Optimization
Hvarfner, Carl ^LU ; Hutter, Frank and Nardi, Luigi ^LU (2022) 36th Conference on Neural Information Processing Systems, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Learning Skill-based Industrial Robot Tasks with User Priors
Mayr, Matthias ^LU ; Hvarfner, Carl ^LU ; Chatzilygeroudis, Konstantinos ; Nardi, Luigi ^LU and Krueger, Volker ^LU (2022) IEEE 18th International Conference on Automation Science and Engineering (IEEE CASE2022) p.1485-1492
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding