Bayesian Optimization

No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization NeurIPS 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Safe Exploration for Interactive Machine Learning NeurIPS 2019 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 Striking the Right Balance With Uncertainty CVPR 2019 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NeurIPS 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Bayesian Optimization of Combinatorial Structures ICML 2018 Efficient nonmyopic batch active search NeurIPS 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Optimistic optimization of a Brownian NeurIPS 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 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