bayesian optimization

BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014 Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013 An Optimal Policy for Target Localization with Application to Electron Microscopy ICML 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013 Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013 Fast Probabilistic Optimization from Noisy Gradients ICML 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013 Optimizing Instructional Policies NeurIPS 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Entropy Search for Information-Efficient Global Optimization JMLR 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012