Bayesian Active Structure Learning for Gaussian Process Probabilistic Programs
What data should we gather to learn about the underlying structure of the world as quickly as possible, especially in cases where data is sparse or expensive to acquire? Structure learning techniques for Gaussian process (GP) probabilistic programs provide a rich framework for inferring qualitative...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/143176 |