Carl Hvarfner

20 papers A* 6Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — —
Bayesian Optimization Across the Spectrum of Knowledge: Enhancing Efficiency through Beliefs, Information and Assumptions.
Carl Hvarfner
2025 — conf
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.
AutoML
Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
2025 J jnl
Informed Initialization for Bayesian Optimization and Active Learning.
CoRR
Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat
2025 J jnl
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2024 A* conf
A General Framework for User-Guided Bayesian Optimization.
ICLR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2024 J jnl
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.
CoRR
Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
2024 A* conf
Vanilla Bayesian Optimization Performs Great in High Dimensions.
ICML
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi
2024 J jnl
Vanilla Bayesian Optimization Performs Great in High Dimensions.
CoRR
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi
2023 J jnl
A General Framework for User-Guided Bayesian Optimization.
CoRR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2023 J jnl
High-dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2023 A* conf
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
NeurIPS
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023 J jnl
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
CoRR
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023 A* conf
Self-Correcting Bayesian Optimization through Bayesian Active Learning.
NeurIPS
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
2023 J jnl
Self-Correcting Bayesian Optimization through Bayesian Active Learning.
CoRR
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
2022 A* conf
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
ICLR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
2022 A* conf
Joint Entropy Search For Maximally-Informed Bayesian Optimization.
NeurIPS
Carl Hvarfner, Frank Hutter, Luigi Nardi
2022 J jnl
Joint Entropy Search For Maximally-Informed Bayesian Optimization.
CoRR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2022 — conf
Learning Skill-based Industrial Robot Tasks with User Priors.
CASE
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 J jnl
Learning Skill-based Industrial Robot Tasks with User Priors.
CoRR
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 J jnl
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
CoRR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi