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.

By: M. Abba n, J. Williams n & B. Reich n 

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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.