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Parallel Bayesian Global Optimization of Expensive Functions
12 references·4 citing·29 second hop
Parallel Bayesian Global Optimization of Expensive Functions (2020)Parallel Bayesian Global Optimization of …Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection (2013)Fast Computation of the Multi…Convergence properties of the expected improvement algorithm with fixed mean and covariance functions (2010)Convergence properties of the…The Knowledge-Gradient Policy for Correlated Normal Beliefs (2009)The Knowledge-Gradient Policy…Stochastic Approximation and Recursive Algorithms and Applications (2003)Stochastic Approximation and …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)A Comparison of Three Methods…Stochastic Approximation Algorithms and Applications (1998)Stochastic Approximation Algo…Computer experiments and global optimization (1997)Computer experiments and glob…Gradient Estimation via Perturbation Analysis (1991)Gradient Estimation via Pertu…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Efficient Estimations from a Slowly Convergent Robbins-Monro Process (1988)Efficient Estimations from a …Information Value Theory (1966)Information Value TheoryA New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A New Method of Locating the …Simulation-based optimization for transportation system analysis: State-of-the-art research and future endeavors (2025)Simulation-based optimization…Multi-fidelity cost-aware Bayesian optimization (2023)Multi-fidelity cost-aware Bay…Multi‐information source Bayesian optimization of culture media for cellular agriculture (2022)Multi‐information source Baye…Exploring Bayesian Optimization (2020)Exploring Bayesian Optimizati…Simulation Modeling and Analysis. (1983)Statistics for Spatial Data (1993)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)A Tutorial on Thompson Sampling (2018)Proceedings of the 2002 Winter Simulation Conference (2002)Computational methods in optimization considering uncertainties – An overview (2008)A unified framework for stochastic optimization (2018)Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances (2010)A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization (2012)Optimization for Simulation: Theory vs. Practice (2002)Simulation optimization: a review of algorithms and applications (2015)The Foundations of Decision Analysis (1968)Computational Aspects of Cooperative Game Theory (2012)Sensitivity analysis: A review of recent advances (2015)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Martingale Methods in Financial Modelling (1997)An Overview of the Simultaneous Perturbation Method for Efficient Optimization (1998)Adaptive stochastic approximation by the simultaneous perturbation method (2000)Hybrid simulation–optimization methods: A taxonomy and discussion (2014)Time-dependent reliability of aging structures in the presence of non-stationary loads and degradation (2014)Design of computer experiments: A review (2017)A one-measurement form of simultaneous perturbation stochastic approximation (1997)General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm (2011)Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss (2012)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code2,856 cited
  • 2003Stochastic Approximation and Recursive Algorithms and Applications1,845 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 1966Information Value Theory1,005 cited
  • 1998Stochastic Approximation Algorithms and Applications994 cited
  • 1991Gradient Estimation via Perturbation Analysis707 cited
  • 2009The Knowledge-Gradient Policy for Correlated Normal Beliefs408 cited
  • 1997Computer experiments and global optimization375 cited
  • 1988Efficient Estimations from a Slowly Convergent Robbins-Monro Process273 cited
  • 2010Convergence properties of the expected improvement algorithm with fixed mean and covariance functions183 cited
  • 2013Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection145 cited

Cited by

  • 2023Multi-fidelity cost-aware Bayesian optimization71 cited
  • 2020Exploring Bayesian Optimization67 cited
  • 2022Multi‐information source Bayesian optimization of culture media for cellular agriculture

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58 cited
  • 2025Simulation-based optimization for transportation system analysis: State-of-the-art research and future endeavors6 cited