Maximum a posteriori estimation by search in probabilistic programs

Maximum a posteriori estimation by search in probabilistic programs

We introduce an approximate search algorithm for fast maximum a posteriori probability estimation in probabilistic programs, which we call Bayesian ascent Monte Carlo (BaMC). Probabilistic programs represent probabilistic models with varying number of mutually dependent finite, countable, and contin...

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Dettagli Bibliografici
Autori principali:	Tolpin, D, Wood, F
Natura:	Conference item
Pubblicazione:	AAAI Publications 2015

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