Author

Eric Gyamfi

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Jul 2026

A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling

This work introduces a Bayesian framework that seamlessly integrates dimensionality reduction with GP modeling and inference, and extends this framework by incorporating Deep Gaussian Processes (DGP) with built-in dimension reduction, providing a more flexible and powerful tool for complex datasets.

Eric Gyamfi, E. Kang, Bledar A. Konomi et al. · arXiv.org · 0 citations