In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

2 code implementations • 25 Apr 2024 • Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Edward Bergman, Frank Hutter

In this work, we propose FT-PFN, a novel surrogate for Freeze-thaw style BO.

Bayesian Optimization Hyperparameter Optimization +1

Automated Dynamic Algorithm Configuration

1 code implementation • 27 May 2022 • Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor Awad, Theresa Eimer, Marius Lindauer, Frank Hutter

The performance of an algorithm often critically depends on its parameter configuration.

DACBench: A Benchmark Library for Dynamic Algorithm Configuration

1 code implementation • 18 May 2021 • Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer

Dynamic Algorithm Configuration (DAC) aims to dynamically control a target algorithm's hyperparameters in order to improve its performance.

Benchmarking

Metaheuristics "In the Large"

no code implementations • 19 Nov 2020 • Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White

We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.