Learning Probabilistic Programs

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Inducing probabilistic programs by Bayesian program merging

Irvin Hwang, Andreas Stuhlmüller, and Noah D Goodman · 2011

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Exploiting compositionality to explore a large space of model structures

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A survey of monte carlo tree search methods

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Structure discovery in nonparametric regression through compositional kernel search

David Duvenaud, James Robert Lloyd, Roger Grosse, Joshua B Tenenbaum, and Zoubin Ghahramani · 2013

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Bootstrap learning via modular concept discovery