Publications

Self-Correcting Bayesian Optimization through Bayesian Active Learning
Gaussian processes are the model of choice in Bayesian optimization and active learning. Yet, they are highly dependent on cleverly …
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
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A General Framework for User-guided Bayesian Optimization
The optimization of expensive-to-evaluate black-box functions is prevalent in various scientific disciplines. Bayesian optimization is …
Carl Hvarfner, Frank Hutter, Luigi Nardi
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A General Framework for User-guided Bayesian Optimization
The optimization of expensive-to-evaluate black-box functions is prevalent in various scientific disciplines. Bayesian optimization is …
Carl Hvarfner, Frank Hutter, Luigi Nardi
Link
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Hyperparameters of Deep Learning ( DL ) pipelines are crucial for their downstream performance. While a large number of methods for …
Neeratyoy Mallik, Eddie Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
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High-Dimensional Bayesian Optimization with Group Testing
High-dimensional problems have long been considered the Achilles’ heel of Bayesian optimization algorithms. Spurred by the curse …
Carl Hvarfner, Erik Hellsten, Luigi Nardi
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Joint Entropy Search for Maximally-Informed Bayesian Optimization
Information-theoretic Bayesian optimization techniques have become popular for optimizing expensive-to-evaluate black-box functions due …
Carl Hvarfner, Frank Hutter, Luigi Nardi
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Learning Skill-Based Industrial Robot Tasks with User Priors
Robot skills systems are meant to reduce robot setup time for new manufacturing tasks. Yet, for dexterous, contact-rich tasks, it is …
Matthias Mayr, Carl Hvarfner, Konstantinos Chatzilygeroudis, Luigi Nardi, Volker Krueger
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πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Bayesian optimization (BO) has become an established framework and popular tool for hyperparameter optimization (HPO) of machine …
Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
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