bayesian optimization

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 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020 Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019 Active Change-Point Detection ACML 2019 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces ICML 2019 ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019 A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019 A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019 A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019 AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019 Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian optimisation under uncertain inputs AISTATS 2019 Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019 Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CoRL 2019 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CoRL 2019 Bayesian Optimization of Composite Functions ICML 2019