bayesian optimization

Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016 Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016 Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016 Simple Bayesian Algorithms for Best Arm Identification COLT 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 Threshold Learning for Optimal Decision Making NeurIPS 2016 Time-Varying Gaussian Process Bandit Optimization AISTATS 2016 Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NeurIPS 2016 Unbounded Bayesian Optimization via Regularization AISTATS 2016 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Differentially Private Bayesian Optimization ICML 2015 Efficient and Robust Automated Machine Learning NeurIPS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015 Active Learning of Parameterized Skills ICML 2014 An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Bayesian Multi-Scale Optimistic Optimization AISTATS 2014 Bayesian Optimization with Inequality Constraints ICML 2014