Mohamed Abdelkader Abba
College of Sciences
Works (1)
Updated: April 5th, 2024 18:52
2023 journal article
A PENALIZED COMPLEXITY PRIOR FOR DEEP BAYESIAN TRANSFER LEARNING WITH APPLICATION TO MATERIALS INFORMATICS
ANNALS OF APPLIED STATISTICS, 17(4), 3241–3256.
author keywords: Kullback-Leibler divergence; materials science; neural networks; variational Bayesian inference
TL;DR:
This work proposes a new Bayesian transfer learning approach based on the penalized complexity prior on the Kullback-Leibler divergence between the predictive models of the source and target tasks and shows that the proposed method outperforms other transfer learning methods across a variety of settings.
(via Semantic Scholar)
open access via arxiv.org (repository)
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Added: March 25, 2024
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