Probabilistic Programming with Gaussian Process Memoization

17 Dec 2015Ulrich SchaechtleBen ZinbergAlexey RadulKostas StathisVikash K. Mansinghka

Gaussian Processes (GPs) are widely used tools in statistics, machine learning, robotics, computer vision, and scientific computation. However, despite their popularity, they can be difficult to apply; all but the simplest classification or regression applications require specification and inference over complex covariance functions that do not admit simple analytical posteriors... (read more)

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