Experimental comparison of 15 HPO and NAS algorithms for automated feature preprocessing on 45 tabular datasets finds evolution-based methods and random search as top performers.
Machine Learning 107(1), 43–78 (2018)
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Reinforcement learning selects hyperparameters sequentially by learning from actual future validation loss reductions and outperforms SMBO methods on 50 datasets.
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Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
Reinforcement learning selects hyperparameters sequentially by learning from actual future validation loss reductions and outperforms SMBO methods on 50 datasets.