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Human-algorithm collaborative Bayesian optimization for engineering systems
4 references·0 citing·15 second hop
Human-algorithm collaborative Bayesian optimization for engineering systems (2024)Human-algorithm collaborative Bayesian op…Unexpected Improvements to Expected Improvement for Bayesian Optimization (2023)Unexpected Improvements to Ex…New paradigms for exploiting parallel experiments in Bayesian optimization (2022)New paradigms for exploiting …Human-AI Collaboration in Data Science (2019)Human-AI Collaboration in Dat…Constrained Bayesian Optimization with Noisy Experiments (2018)Constrained Bayesian Optimiza…Convergence rates of efficient global optimization algorithms (2011)Entropy Search for Information-Efficient Global Optimization (2011)Practical Bayesian Optimization of Machine Learning Algorithms (2012)BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization (2019)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Recent Advances in Bayesian Optimization (2023)Data Science and Prediction (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)From Human-Human Collaboration to Human-AI Collaboration (2020)ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions (2023)What is Human-Centered about Human-Centered AI? A Map of the Research Landscape (2023)On the Experimental Attainment of Optimum Conditions (1951)Constrained Bayesian Optimization: A Review (2024)Maximum a posteriori estimation for linear structural dynamics models using Bayesian optimization with rational polynomial chaos expansions (2024)
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References

  • 2019Human-AI Collaboration in Data Science351 cited
  • 2018Constrained Bayesian Optimization with Noisy Experiments349 cited
  • 2023Unexpected Improvements to Expected Improvement for Bayesian Optimization93 cited
  • 2022New paradigms for exploiting parallel experiments in Bayesian optimization46 cited

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