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Bayesian Optimization

122 directly classified papers

Papers per year

Papers

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NIPS 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Offline Contextual Bayesian Optimization NIPS 2019
Characterizing Bias in Classifiers using Generative Models NIPS 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
Cost Effective Active Search NIPS 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Bayesian Optimization of Combinatorial Structures ICML 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018
Multi-Information Source Optimization NIPS 2017