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Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
12 references·0 citing·33 second hop
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters (2014)Theoretical Analysis of Bayesian Optimisa…On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning (2014)On correlation and budget con…Bayesian Multi-Scale Optimistic Optimization (2014)Bayesian Multi-Scale Optimist…Multi-Task Bayesian Optimization (2013)Multi-Task Bayesian Optimizat…Bayesian optimization in high dimensions via random embeddings (2013)Bayesian optimization in high…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Hybrid Batch Bayesian Optimization (2012)Hybrid Batch Bayesian Optimiz…Entropy search for information-efficient global optimization (2012)Entropy search for informatio…Bayesian optimisation for Intelligent Environmental Monitoring (2012)Bayesian optimisation for Int…Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion (2011)Robust Gaussian Process-Based…Portfolio allocation for Bayesian optimization (2011)Portfolio allocation for Baye…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Tutorial on Bayesian Optimi…On stochastic differential equations (1951)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Space and Space-Time Modeling using Process Convolutions (2002)Bayesian Optimisation for informative continuous path planning (2014)Sequential Bayesian Optimisation for Spatial-Temporal Monitoring (2014)Batch Bayesian optimization using multi-scale search (2019)Design and Analysis of Computer Experiments (1989)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Adaptive Decision Maker (1994)A Tutorial on Bayesian Optimization (2018)Bayesian Optimization (2018)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Best-Arm Identification in Linear Bandits (2014)A new acquisition function for Bayesian optimization based on the moment-generating function (2017)ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. (2019)Some aspects of the sequential design of experiments (1952)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)Model-Based Geostatistics (1998)A Global Bayesian Optimization Algorithm and Its Application to Integrated System Design (2018)Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits (2017)On Kernelized Multi-armed Bandits (2017)High-dimensional Bayesian optimization using low-dimensional feature spaces (2020)Bayesian Optimization with Unknown Constraints (2014)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)An Entropy Search Portfolio for Bayesian Optimization (2014)Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search (2020)Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds (2020)
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 2013Multi-Task Bayesian Optimization484 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2013Bayesian optimization in high dimensions via random embeddings244 cited
  • 2012Bayesian optimisation for Intelligent Environmental Monitoring177 cited
  • 2011Portfolio allocation for Bayesian optimization160 cited
  • 2014On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning85 cited
  • 2014Bayesian Multi-Scale Optimistic Optimization75 cited
  • 2011Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion60 cited
  • 2012Hybrid Batch Bayesian Optimization57 cited

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