Bayesian Optimization

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 Counterexample Guided RL Policy Refinement Using Bayesian Optimization NeurIPS 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Information Directed Sampling for Sparse Linear Bandits NeurIPS 2021 Local policy search with Bayesian optimization NeurIPS 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 BOSS: Bayesian Optimization over String Spaces NeurIPS 2020 BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NeurIPS 2020