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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

Batched Gaussian Process Bandit Optimization via Determinantal Point Processes NIPS 2016
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
Unbounded Bayesian Optimization via Regularization AISTATS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016
Threshold Learning for Optimal Decision Making NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Bayesian Optimization for Probabilistic Programs NIPS 2016
Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016
Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016
Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry AUTOML 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Bayesian optimization for automated model selection NIPS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016
Time-Varying Gaussian Process Bandit Optimization AISTATS 2016
Bayesian Optimization with Robust Bayesian Neural Networks NIPS 2016
Simple Bayesian Algorithms for Best Arm Identification COLT 2016
Bayesian optimization for automated model selection AUTOML 2016