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Frank Hunter Photography

    http://www.frankhunterphotography.com/
    Frank Hunter Photography. Collections / Sunflowers. Collections / In a Dark Time. Collections / Iowa Nocturnes. Collections / Low Country Spring. Collections / Appalachia. Collections / El Paso del Norte. Collections / Los Bodegas Juarez, Mexico. Collections / Pleasant Hill Colony, Kentucky.

HyperBand and BOHB: Understanding State of the Art ...

    https://neptune.ai/blog/hyperband-and-bohb-understanding-state-of-the-art-hyperparameter-optimization-algorithms
    Nov 10, 2020 · BOHB is a state-of-the-art hyperparameter optimization algorithm, proposed in BOHB: Robust and Efficient Hyperparameter Optimization at Scale, written by Stefan Falkner, Aaron Klein, and Frank Hutter. The idea behind the BOHB algorithm is based on one simple question – why do we run successive halving repeatedly?

Frank Hutter - uni-freiburg.de

    http://aad.informatik.uni-freiburg.de/people/hutter/
    FrankRHutter I'm the Head of the Machine Learning Lab. I'm lucky enough to have an amazing team; all my team members are linked in the sidebar on the left. In addition to my full-time role at the University of Freiburg, I also consult for the Bosch Center for AI (BCAI) as Chief Expert for AutoML.

Ilya Loshchilov

    http://loshchilov.com/
    To see my recent publications, visit Google Scholar.The text below is outdated. Three Deep Learning + Optimization papers with Frank Hutter: Online batch selection for faster training of neural networks Up to 5 times faster than Adam/Adadelta on MNIST. CMA-ES for Hyperparameter Optimization of Deep Neural Networks CMA-ES is competitive in the regime of parallel evaluations.

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