bayesian optimization

BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018 Cost-aware Cascading Bandits IJCAI 2018 Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018 Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NeurIPS 2018 Efficient nonmyopic batch active search NeurIPS 2018 ELFI: Engine for Likelihood-Free Inference JMLR 2018 Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018 Fast Information-theoretic Bayesian Optimisation ICML 2018 Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018 Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation CoRL 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018 Maximizing acquisition functions for Bayesian optimization NeurIPS 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NeurIPS 2018 Practical Bayesian optimization in the presence of outliers AISTATS 2018 Probabilistic Matrix Factorization for Automated Machine Learning NeurIPS 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Scalable Hyperparameter Transfer Learning NeurIPS 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018 Structured Variationally Auto-encoded Optimization ICML 2018 Tight Regret Bounds for Bayesian Optimization in One Dimension ICML 2018