Bayesian optimization with output-weighted optimal sampling
© 2020 Elsevier Inc. In Bayesian optimization, accounting for the importance of the output relative to the input is a crucial yet challenging exercise, as it can considerably improve the final result but often involves inaccurate and cumbersome entropy estimations. We approach the problem from the p...
Main Authors: | Blanchard, Antoine Bertrand Emile, Sapsis, Themistoklis Panagiotis |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2022
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Online Access: | https://hdl.handle.net/1721.1/139637.3 |
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