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An Entropy Search Portfolio for Bayesian Optimization
16 references·1 citing·29 second hop
An Entropy Search Portfolio for Bayesian Optimization (2014)An Entropy Search Portfolio for Bayesian …Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Predictive Entropy Search for…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…Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations (2012)Exponential Regret Bounds for…Entropy search for information-efficient global optimization (2012)Entropy search for informatio…Bayesian optimisation for Intelligent Environmental Monitoring (2012)Bayesian optimisation for Int…Portfolio allocation for Bayesian optimization (2011)Portfolio allocation for Baye…An Empirical Evaluation of Thompson Sampling (2011)An Empirical Evaluation of Th…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…Practical Bayesian optimization (2008)Practical Bayesian optimizati…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Bayesian based reaction optimization for complex continuous gas–liquid–solid reactions (2021)Bayesian based reaction optim…On stochastic differential equations (1951)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)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)Multi-Armed Bandit Allocation Indices. (1990)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Learning to Optimize via Posterior Sampling (2014)Some aspects of the sequential design of experiments (1952)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)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)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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)A General Framework for Constrained Bayesian Optimization using Information-based Search (2015)Constrained Bayesian Optimization with Noisy Experiments (2018)Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes (2019)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 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
  • 2011An Empirical Evaluation of Thompson Sampling1,000 cited
  • 2013Multi-Task Bayesian Optimization484 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
  • 2013Bayesian optimization in high dimensions via random embeddings244 cited
  • 2008Practical Bayesian optimization222 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
  • 2012Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations76 cited

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2014
Bayesian Multi-Scale Optimistic Optimization
75 cited
  • 2012Hybrid Batch Bayesian Optimization57 cited
  • Cited by

    • 2021Bayesian based reaction optimization for complex continuous gas–liquid–solid reactions31 cited