| BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits | May 29, 2014 | Bayesian OptimizationExperimental Design | CodeCode Available | 0 |
| Bayesian Optimization with Unknown Constraints | Mar 22, 2014 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Bayesian Multi-Scale Optimistic Optimization | Feb 27, 2014 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Student-t Processes as Alternatives to Gaussian Processes | Feb 18, 2014 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Input Warping for Bayesian Optimization of Non-stationary Functions | Feb 5, 2014 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms | Dec 12, 2013 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 |
| High-Dimensional Gaussian Process Bandits | Dec 1, 2013 | Bayesian OptimizationVocal Bursts Intensity Prediction | —Unverified | 0 |
| Multi-Task Bayesian Optimization | Dec 1, 2013 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Bayesian optimization explains human active search | Dec 1, 2013 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics | Nov 23, 2013 | Bayesian Optimization | —Unverified | 0 |
