Hvarfner, Carl

10 publications

AutoML 2025 CATBench: A Compiler Autotuning Benchmarking Suite for Black-Box Optimization Jacob O Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander

NeurIPS 2025 Informed Initialization for Bayesian Optimization and Active Learning Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat

ICLRW 2025 Α-PFN: In-Context Learning Entropy Search Tom Julian Viering, Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Carl Hvarfner, Frank Hutter, Eytan Bakshy

ICLR 2024 A General Framework for User-Guided Bayesian Optimization Carl Hvarfner, Frank Hutter, Luigi Nardi

ICML 2024 Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi

NeurIPS 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

NeurIPS 2023 Self-Correcting Bayesian Optimization Through Bayesian Active Learning Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi

ICLR 2022 $\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

NeurIPS 2022 Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner, Frank Hutter, Luigi Nardi

NeurIPSW 2022 PriorBand: HyperBand + Human Expert Knowledge Neeratyoy Mallik, Carl Hvarfner, Danny Stoll, Maciej Janowski, Eddie Bergman, Marius Lindauer, Luigi Nardi, Frank Hutter