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Xinran Zhu

2 accepted papers

2023

Variational Gaussian Processes with Decoupled Conditionals

NeurIPS 2023poster

Variational Gaussian processes (GPs) approximate exact GP inference by using a small set of inducing points to form a sparse approximation of the true posterior, with the fidelity of the model increasing with additional inducing points. Although the approximation error in principle can be reduced th…

Cited by 2SourcePDFScholar
2021

Scaling Gaussian Processes with Derivative Information Using Variational Inference

NeurIPS 2021poster

Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks that arise in the natural sciences. Incorporating derivative observations, however, comes with a dominating $O(N^3D^3)$…

Cited by 21SourcePDFScholar