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Deep Variational Implicit Process

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04:00

2026-06-15

arxiv.org

machine-learning

Uncertainty Estimation and Generalization Bounds for Modern Deep Learning

A new thesis investigates how Bayesian principles can improve understanding of modern deep learning systems, introducing the Deep Variational Implicit Process (DVIP) and post-hoc methods VaLLA and FMG…

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Variational Linearized Laplace Approximation 1 Fixed-Mean Gaussian Process 1 PAC-Bayesian 1 large-deviation theory 1

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machine learning 1 neural networks 1 large language models 1 ai research 1 ai ethics 1