A Bayesian framework jointly estimates an orthonormal input projection and a GP/DGP surrogate, propagating projection uncertainty into predictions.
Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation
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A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
A Bayesian framework jointly estimates an orthonormal input projection and a GP/DGP surrogate, propagating projection uncertainty into predictions.