bayesian optimization

Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 AutoBSS: An Efficient Algorithm for Block Stacking Style Search NeurIPS 2020 Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020 Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 Bayesian Optimization for Iterative Learning NeurIPS 2020 Bayesian Optimization of Risk Measures NeurIPS 2020 Bayesian Optimization using Pseudo-Points IJCAI 2020 BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020 BOSS: Bayesian Optimization over String Spaces NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NeurIPS 2020 BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020 Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NeurIPS 2020 Causal Bayesian Optimization AISTATS 2020 ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations AISTATS 2020