Extrinsic GP for Regression on Manifolds

A review on extrinsic GP methods by Lin et al.(2019)

May 1, 2020

For classifications and regressions with predictors on known manifolds, an extrinsic method is to embed manifolds into Euclidean spaces by introducing extrinsic kernel in Gaussian Process. Here I review on “Extrinsic Gaussian Processes for Regression and Classification on Manifolds” by Lin et al.(2019).

Posted on:
May 1, 2020
1 minute read, 43 words
nonparametric gaussian process manifold
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