Bayesian Optimization Publications

Publications in Bayesian Optimization

Explore the most influential research papers and scholarly works that have shaped Bayesian Optimization. Use the concept filter below to focus on a specific sub-area of research.

Bayesian Optimization

1.2K

Publications

71.4K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek, Hugo Larochelle, Ryan P. Adams arXiv (Cornell University) Artificial IntelligenceModel OptimizationHyperparameter EstimationEngineeringMachine Learning	2012	5.6K
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning Eric Brochu, Vlad M. Cora, Nando de Freitas arXiv (Cornell University) Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningBayesian Technique	2010	2.1K
Auto-WEKA Chris Thornton, Frank Hutter, Holger H. Hoos, Artificial IntelligenceHyperparameter EstimationEngineeringMachine LearningData Science	2013	1.3K
Dealing With Label Switching in Mixture Models Matthew Stephens Journal of the Royal Statistical Society Series B (Statistical Methodology) Bayesian StatisticBayesian Decision TheoryEngineeringMachine LearningLabel Switching	2000	1.1K
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li, Kevin Jamieson, Giulia DeSalvo, arXiv (Cornell University) Mathematical ProgrammingArtificial IntelligenceHyperparameter OptimizationHyperparameter EstimationEngineering	2016	1.1K
Hyperopt: a Python library for model selection and hyperparameter optimization James Bergstra, Brent Komer, Chris Eliasmith, Computational Science & Discovery Artificial IntelligenceMathematical ProgrammingEngineeringMachine LearningModel Tuning	2015	1K
Hyperband: a novel bandit-based approach to hyperparameter optimization Lisha Li, Kevin Jamieson, Giulia DeSalvo, Journal of Machine Learning Research Mathematical ProgrammingArtificial IntelligenceHyperparameter OptimizationHyperparameter EstimationEngineering	2017	1K
Bayesian reaction optimization as a tool for chemical synthesis Benjamin J. Shields, Jason M. Stevens, Jun Li, Nature Process DesignEngineeringBayesian OptimizationReaction ProcessBayesian Reaction Optimization	2021	919
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms James Bergstra, Dan Yamins, David Cox Proceedings of the Python in Science Conferences Artificial IntelligenceEngineeringMachine LearningModel TuningMachine Learning Algorithms	2013	802
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization Wengang Zhang, Chongzhi Wu, Haiyi Zhong, Geoscience Frontiers Undrained Shear StrengthHyperparameter EstimationEngineeringMachine LearningBayesian Optimization	2020	801
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Bernd Bischl, Martin Binder, Michel Lang, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Search OptimizationHyperparameter OptimizationHyperparameter EstimationEngineeringMachine Learning	2023	698
Automatic tuning of hyperparameters using Bayesian optimization A. Helen Victoria, G. Maragatham Evolving Systems Hyperparameter EstimationEngineeringMachine LearningData ScienceBayesian Optimization	2020	527

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