Carl Hvarfner

According to our database, Carl Hvarfner authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.

Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander

CoRR, 2024

Vanilla Bayesian Optimization Performs Great in High Dimensions.

Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A General Framework for User-Guided Bayesian Optimization.

Carl Hvarfner, Frank Hutter, Luigi Nardi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

High-dimensional Bayesian Optimization with Group Testing.

Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi

CoRR, 2023

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.

Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Correcting Bayesian Optimization through Bayesian Active Learning.

Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

CoRR, 2022

Joint Entropy Search For Maximally-Informed Bayesian Optimization.

Carl Hvarfner, Frank Hutter, Luigi Nardi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Skill-based Industrial Robot Tasks with User Priors.

Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022