bayesian optimization

Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search NeurIPS 2017 Preferential Bayesian Optimization ICML 2017 Probabilistic Line Searches for Stochastic Optimization JMLR 2017 Process-constrained batch Bayesian optimisation NeurIPS 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning IJCAI 2017 Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry AutoML 2016 A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NeurIPS 2016 Bayesian optimization for automated model selection NeurIPS 2016 Bayesian optimization for automated model selection AutoML 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian NeurIPS 2016 Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NeurIPS 2016 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016 High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016 Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016