bayesian optimization

Conditioning Sparse Variational Gaussian Processes for Online Decision-making NeurIPS 2021 Constrained Two-step Look-Ahead Bayesian Optimization NeurIPS 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 Counterexample Guided RL Policy Refinement Using Bayesian Optimization NeurIPS 2021 DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation ICLR 2021 Explaining Hyperparameter Optimization via Partial Dependence Plots NeurIPS 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CoRL 2021 GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 Kernel Functional Optimisation NeurIPS 2021 Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021 Local Differential Privacy for Bayesian Optimization AAAI 2021 Local policy search with Bayesian optimization NeurIPS 2021 Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021 Meta-Learning Reliable Priors in the Function Space NeurIPS 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 MOTS: Minimax Optimal Thompson Sampling ICML 2021