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Hyperparameter optimization and neural architecture search can become prohibitively expensive for regular black-box Bayesian optimization because the training and evaluation of a single model can easily take several hours.
Practical Bayesian optimization of machine learning algorithms
J. Snoek, H. Larochelle, and R. Adams · 1908
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Algorithms for hyper-parameter optimization
J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl · 2011
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Sequential model-based optimization for general algorithm configuration
F. Hutter, H. Hoos, and K. Leyton-Brown · 2011
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Random search for hyper-parameter optimization
J. Bergstra and Y. Bengio · 2012
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An efficient approach for assessing hyperparameter importance
F. Hutter, H. Hoos, and K. Leyton-Brown · 2014
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Efficient and robust automated machine learning
M. Feurer, A. Klein, K. Eggensperger, J. T. Springenberg, M. Blum, and F. Hutter · 2015
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Non-stochastic best arm identification and hyperparameter optimization
K. Jamieson and A. Talwalkar · 2016
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Taking the human out of the loop: A review of Bayesian optimization
B. Shahriari, K. Swersky, Z. Wang, R. Adams, and N. de Freitas · 2016
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RoBO: A flexible and robust Bayesian optimization framework in Python
A. Klein, S. Falkner, N. Mansur, and F. Hutter · 2017
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SMACv3: Algorithm configuration in Python, 2017
M. Lindauer, K. Eggensperger, M. Feurer, S. Falkner, A. Biedenkapp, and F. Hutter · 2017
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Cited alongside, same era.
Cave: Configuration assessment, visualization and evaluation
A. Biedenkapp, J. Marben, M. Lindauer, and F. Hutter · 2018
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BOHB: robust and efficient hyperparameter optimization at scale
S. Falkner, A. Klein, and F. Hutter · 2018
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Hyperband: A novel bandit-based approach to hyperparameter optimization
L. Li, K. Jamieson, G. DeSalvo, A. Rostamizadeh, and A. Talwalkar · 2018
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Hyperparameter optimization
M. Feurer and F. Hutter · 2019
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K. Kandasamy, K. Vysyaraju, W. Neiswanger, B. Paria, C. Collins, J. Schneider, B. Poczos, and E. Xing · 2019
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