VIF approximations combine inducing points and Vecchia methods with an efficient neighbor search to deliver computationally efficient, accurate, and stable Gaussian process inference on large data.
Gpytorch: B lackbox matrix-matrix G aussian process inference with gpu acceleration
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Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes
VIF approximations combine inducing points and Vecchia methods with an efficient neighbor search to deliver computationally efficient, accurate, and stable Gaussian process inference on large data.