bayesian optimization

Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Bayesian Optimization with Gradients NeurIPS 2017 Bayesian Optimization with Tree-structured Dependencies ICML 2017 CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CoRL 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017 Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization Interspeech 2017 High Dimensional Bayesian Optimization using Dropout IJCAI 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Learning to Learn without Gradient Descent by Gradient Descent ICML 2017 Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017 Local Bayesian Optimization of Motor Skills ICML 2017 Lookahead Bayesian Optimization with Inequality Constraints NeurIPS 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017 Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017 Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017 Multi-Information Source Optimization NeurIPS 2017 On Kernelized Multi-armed Bandits ICML 2017