Bayesian synthesis formulates automatic construction of probabilistic programs in PCFG-specified DSLs with soundness conditions, enabling structure analysis and prediction that outperforms baselines on real datasets.
Journal of Machine Learning Research 12, Oct (2011), 2825–2830
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Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Bayesian synthesis formulates automatic construction of probabilistic programs in PCFG-specified DSLs with soundness conditions, enabling structure analysis and prediction that outperforms baselines on real datasets.