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deep neural networks 1evidential deep learning 1out-of-distribution detection 1uncertainty quantification 1variational inference 1

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1 paper

cs.LG2026

Variational Inference for Evidential Deep Learning

Jiawei Tang, Xinyan Du, Hui Liu +2

The paper introduces VI-EDL, a variational inference framework for evidential deep learning that controls evidence growth and provides theoretical guarantees for uncertainty estima…