A penalized complexity prior for deep Bayesian transfer learning with application to materials...

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A Bayesian shrinkage estimator for transfer learning

MA Abba, JP Williams, BJ Reich - arXiv preprint arXiv:2403.17321, 2024 - arxiv.org
Transfer learning (TL) has emerged as a powerful tool to supplement data collected for a
target task with data collected for a related source task. The Bayesian framework is natural …
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[PDF] arxiv.org

CONCERT: Covariate-Elaborated Robust Local Information Transfer with Conditional Spike-and-Slab Prior

R Zhang, Y Zhang, A Qu, Z Zhu, J Shen - arXiv preprint arXiv:2404.03764, 2024 - arxiv.org
The popularity of transfer learning stems from the fact that it can borrow information from
useful auxiliary datasets. Existing statistical transfer learning methods usually adopt a global …
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