Search Results for author: Florian Karl

Found 2 papers, 1 papers with code

Multi-Objective Hyperparameter Optimization -- An Overview

no code implementations • 15 Jun 2022 • Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Juergen Branke, Bernd Bischl

Hyperparameter optimization constitutes a large part of typical modern machine learning workflows.

Bayesian Optimization BIG-bench Machine Learning +3

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Efficient Automated Deep Learning for Time Series Forecasting

1 code implementation • 11 May 2022 • Difan Deng, Florian Karl, Frank Hutter, Bernd Bischl, Marius Lindauer

In contrast to common NAS search spaces, we designed a novel neural architecture search space covering various state-of-the-art architectures, allowing for an efficient macro-search over different DL approaches.

Bayesian Optimization Neural Architecture Search +2

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