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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
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Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning
Communications in Computer and Information Science, 2023Mohamed Hamlich +2 more
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How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
Artificial Intelligence Review, 2021Jacques Wainer, Pablo Fonseca
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Computer Optimization of ANN Hyperparameters for Retrospective Information Processing
Lecture Notes in Networks and Systems, 2022Aleksey F. Rogachev, Elena V Melikhova
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Automatic tuning of hyperparameters using Bayesian optimization
Evolving Systems, 2020G Maragatham, A Helen Victoria
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