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bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Multi-attribute Bayesian optimization with interactive preference learning AISTATS 2020
Multi-task Causal Learning with Gaussian Processes NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
BOSS: Bayesian Optimization over String Spaces NIPS 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NIPS 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Bayesian Optimization of Risk Measures NIPS 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations AISTATS 2020
Nonmyopic Gaussian Process Optimization with Macro-Actions AISTATS 2020
A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
Efficient Rollout Strategies for Bayesian Optimization UAI 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
Efficient Automatic CASH via Rising Bandits AAAI 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Causal Bayesian Optimization AISTATS 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020
Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020
Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020