Looping in the human: collaborative and explainable Bayesian optimization
Like many optimizers, Bayesian optimization often falls short of gaining user trust due to opacity. While attempts have been made to develop human-centric optimizers, they typically assume user knowledge is well-specified and error-free, employing users mainly as supervisors of the optimization proc...
| Main Authors: | , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
PMLR
2024
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