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Gaussian Process models for solving ODEs

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If you have a question about this talk, please contact Ryan Prescott Adams.

I will discuss a probabilistic approach for the problem of numerical solutions of ordinary differential equations based on a Gaussian Process model. The idea is to model the uncertainty of the solution specifically for the case of very few evaluations of the differential. This is work in progress.

This talk is part of the Inference Group series.

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