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Constrained Bayesian Optimization: A Review
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Constrained Bayesian Optimization: A Review (2024)Constrained Bayesian Optimization: A Revi…Recent Advances in Bayesian Optimization (2023)Recent Advances in Bayesian O…Bayesian Optimization (2023)Bayesian OptimizationA Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)A Survey on High-dimensional …Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (2021)Bayesian optimization with sa…Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Bayesian Optimization for Ada…Constrained Bayesian Optimization with Noisy Experiments (2018)Constrained Bayesian Optimiza…Bayesian Optimization (2018)Bayesian OptimizationA Tutorial on Bayesian Optimization (2018)A Tutorial on Bayesian Optimi…Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Fast Bayesian Optimization of…Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Bayesian Optimization in a Bi…Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Bayesian Optimization with Unknown Constraints (2014)Bayesian Optimization with Un…Bayesian Optimization with Inequality Constraints (2014)Bayesian Optimization with In…Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010)Adaptive Designs of Experimen…Stochastic Kriging for Simulation Metamodeling (2009)Stochastic Kriging for Simula…A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A New Method of Locating the …A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Practical Bayesian Optimization of Machine Learning Algorithms (2012)BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits (2014)Design and Analysis of Computer Experiments (1989)Statistics for Spatial Data (1993)Statistics for Spatial Data. (1993)Proceedings of the 2002 Winter Simulation Conference (2002)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)A Stochastic Approximation Method (1951)High-dimensional Bayesian optimization using low-dimensional feature spaces (2020)Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Bayesian Optimization in High-Dimensional Spaces: A Brief Survey (2021)Design of Experiments and machine learning for product innovation: A systematic literature review (2021)Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences (2022)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian optimization with robust Bayesian neural networks (2016)Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits (2017)Neural Architecture Search with Bayesian Optimisation and Optimal Transport (2018)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis (2023)Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today? (2025)Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML (2024)
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References

  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 2018A Tutorial on Bayesian Optimization1,422 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2018Bayesian Optimization887 cited
  • 2009Stochastic Kriging for Simulation Metamodeling636 cited
  • 2023Bayesian Optimization614 cited
  • 2020Bayesian Optimization for Adaptive Experimental Design: A Review525 cited
  • 2023Recent Advances in Bayesian Optimization490 cited
  • 2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets425 cited
  • 2016Bayesian Optimization in a Billion Dimensions via Random Embeddings392 cited
  • 2014Bayesian Optimization with Unknown Constraints376 cited
  • 2014Bayesian Optimization with Inequality Constraints347 cited
  • 2018Constrained Bayesian Optimization with Noisy Experiments311 cited
  • 2021Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics300 cited
  • 2010Adaptive Designs of Experiments for Accurate Approximation of a Target Region291 cited

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2022
A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization
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