acquisition function

Multi-Fidelity Bayesian Optimization via Deep Neural Networks NeurIPS 2020 Multi-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020 Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020 Nonmyopic Gaussian Process Optimization with Macro-Actions AISTATS 2020 Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020 The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020 Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces ICML 2019 Bayesian Optimization with Binary Auxiliary Information UAI 2019 Deep Active Learning with Adaptive Acquisition IJCAI 2019 Efficient Bayesian Optimization for Target Vector Estimation AISTATS 2019 Fully Distributed Bayesian Optimization with Stochastic Policies IJCAI 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Multi-objective Bayesian optimisation with preferences over objectives NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization NeurIPS 2019 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Bayesian Optimization of Combinatorial Structures ICML 2018 Maximizing acquisition functions for Bayesian optimization NeurIPS 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Bayesian Optimization with Gradients NeurIPS 2017 Bayesian Optimization with Tree-structured Dependencies ICML 2017 Deep Bayesian Active Learning with Image Data ICML 2017 High Dimensional Bayesian Optimization using Dropout IJCAI 2017