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Probabilistic AI that knows how well it s working | MIT News | Massachusetts Institute of Technology
SMCP3 is a new family of algorithms for solving sequential Bayesian inference problems with probabilistic programming. The AI is unique in that it outputs explanations for data, and estimates how accurate those explanations are.
George matheos
Vikash mansinghka
Nishad gothoskar
Alex lew
Monte carlo
Stuart russell
Matin ghavamizadeh
University of california at berkeley
Tan zhi xuan
Probabilistic programming languages
Sequential monte carlo
Mc algorithms
Mc with probabilistic program proposals smcp3
George matheos
Alex lew
Nishad gothoskar
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