References

• 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
• 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
• 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
• 2015Scalable Bayesian Optimization Using Deep Neural Networks703 cited
• 2013Multi-Task Bayesian Optimization484 cited
• 2012Entropy search for information-efficient global optimization456 cited
• 2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets425 cited
• 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
• 2015Non-stochastic Best Arm Identification and Hyperparameter Optimization287 cited
• 2016Bayesian optimization with robust Bayesian neural networks274 cited
• 2014Freeze-Thaw Bayesian Optimization154 cited
• 2000Sequential design of computer experiments to minimize integrated response functions135 cited
• 2017Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits127 cited
• 2014Input Warping for Bayesian Optimization of Non-stationary Functions109 cited

Cited by

No citing works inside the corpus for this window.