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Fast hyperparameter tuning using Bayesian optimization with directional derivatives

Knowledge-Based Systems, 2020
Svetha Venkatesh   +2 more
exaly  

Sherpa: Robust hyperparameter optimization for machine learning

SoftwareX, 2020
Julian Collado Umana   +2 more
exaly  

SLURM-Managed HyperParameter Optimization.

Hyperparameter optimization (HPO) is essential for achieving state-of-the-art performance in machine learning, yet it is computationally demanding, particularly on shared or resource-constrained clusters. We present a system that integrates the Asynchronous Successive Halving Algorithm (ASHA) with SEML, the SLURM Experiment Management Library - an ...
Chattopadhyay, Anusha   +3 more
openaire   +2 more sources

HY-POP: Hyperparameter optimization of machine learning models through parametric programming

Computers and Chemical Engineering, 2020
Barış Burnak   +2 more
exaly  

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