Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes

8 Jun 2017 Hyunjik Kim Yee Whye Teh

Automating statistical modelling is a challenging problem in artificial intelligence. The Automatic Statistician takes a first step in this direction, by employing a kernel search algorithm with Gaussian Processes (GP) to provide interpretable statistical models for regression problems... (read more)

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