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Multi‐information source Bayesian optimization of culture media for cellular agriculture
5 references·3 citing·34 second hop
Multi‐information source Bayesian optimization of culture media for cellular agriculture (2022)Multi‐information source Bayesian optimiz…Parallel Bayesian Global Optimization of Expensive Functions (2020)Parallel Bayesian Global Opti…Constrained Bayesian Optimization with Noisy Experiments (2018)Constrained Bayesian Optimiza…Multi-Information Source Optimization (2016)Multi-Information Source Opti…A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory (2015)A new framework for comprehen…Stochastic Kriging for Simulation Metamodeling (2009)Stochastic Kriging for Simula…Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today? (2025)Bayesian Optimization in Biop…Accelerating cell culture media development using Bayesian optimization-based iterative experimental design (2025)Accelerating cell culture med…Learning and optimization under epistemic uncertainty with Bayesian hybrid models (2023)Learning and optimization und…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)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global Sensitivity Analysis. The Primer (2007)Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques (2019)What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling (2019)sensobol : An R Package to Compute Variance-Based Sensitivity Indices (2022)Convergence rates of efficient global optimization algorithms (2011)Entropy search for information-efficient global optimization (2012)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Top Challenges from the first Practical Online Controlled Experiments Summit (2019)Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)Stochastic Approximation and Recursive Algorithms and Applications (2003)Exploring Bayesian Optimization (2020)Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization (2021)Multi-fidelity cost-aware Bayesian optimization (2023)Lectures on Stochastic Programming: Modeling and Theory (2009)Data-driven chance constrained stochastic program (2015)Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (2019)On the Experimental Attainment of Optimum Conditions (1951)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Beyond the model: data infrastructure as the foundation for autonomous virtual laboratories (2026)The Theory of the Design of Experiments (2000)Batch Bayesian Optimization via Local Penalization (2015)Continuous multi-task Bayesian Optimisation with correlation (2018)Multi-fidelity Gaussian Process Bandit Optimisation (2019)Bayesian optimization techniques for high-dimensional simulation-based transportation problems (2022)
this work references cited by second hop

References

  • 2009Stochastic Kriging for Simulation Metamodeling636 cited
  • 2018Constrained Bayesian Optimization with Noisy Experiments311 cited
  • 2015A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory204 cited
  • 2020Parallel Bayesian Global Optimization of Expensive Functions85 cited
  • 2016Multi-Information Source Optimization60 cited

Cited by

  • 2025Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?51 cited
  • 2025Accelerating cell culture media development using Bayesian optimization-based iterative experimental design36 cited
  • 2023Learning and optimization under epistemic uncertainty with Bayesian hybrid models18 cited

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