Elements of a stochastic 3D prediction engine in larval zebrafish prey capture von Bolton, Andrew D, Haesemeyer, Martin, Jordi, Josua, Schaechtle, Ulrich, Saad, Feras A, Mansinghka, Vikash K, Tenenbaum, Joshua B, Engert, Florian

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Robust Resource Bounds with Static Analysis and Bayesian Inference von Pham, Long, Saad, Feras A., Hoffmann, Jan

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Programmable MCMC with Soundly Composed Guide Programs von Pham, Long, Wang, Di, Saad, Feras A., Hoffmann, Jan

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Bayesian synthesis of probabilistic programs for automatic data modeling von Saad, Feras A., Cusumano-Towner, Marco F., Schaechtle, Ulrich, Rinard, Martin C., Mansinghka, Vikash K.

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GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables von Huot, Mathieu, Ghavami, Matin, Lew, Alexander K., Schaechtle, Ulrich, Freer, Cameron E., Shelby, Zane, Rinard, Martin C., Saad, Feras A., Mansinghka, Vikash K.

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Optimal approximate sampling from discrete probability distributions von Saad, Feras A., Freer, Cameron E., Rinard, Martin C., Mansinghka, Vikash K.

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Hierarchical Infinite Relational Model von Saad, Feras A, Mansinghka, Vikash K

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Estimators of Entropy and Information via Inference in Probabilistic Models von Saad, Feras A, Cusumano-Towner, Marco, Mansinghka, Vikash K

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Sequential Monte Carlo Learning for Time Series Structure Discovery von Saad, Feras A, Patton, Brian J, Hoffman, Matthew D, Saurous, Rif A, Mansinghka, Vikash K

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SPPL: Probabilistic Programming with Fast Exact Symbolic Inference von Saad, Feras A, Rinard, Martin C, Mansinghka, Vikash K

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GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables von Huot, Mathieu, Ghavami, Matin, Lew, Alexander K, Schaechtle, Ulrich, Freer, Cameron E, Zane Shelby, Rinard, Martin C, Saad, Feras A, Mansinghka, Vikash K

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Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series von Saad, Feras A, Mansinghka, Vikash K

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Hierarchical Infinite Relational Model von Saad, Feras A, Mansinghka, Vikash K

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Estimators of Entropy and Information via Inference in Probabilistic Models von Saad, Feras A, Cusumano-Towner, Marco, Mansinghka, Vikash K

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The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions von Saad, Feras A, Freer, Cameron E, Rinard, Martin C, Mansinghka, Vikash K

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Optimal Approximate Sampling from Discrete Probability Distributions von Saad, Feras A, Freer, Cameron E, Rinard, Martin C, Mansinghka, Vikash K

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Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling von Saad, Feras A, Cusumano-Towner, Marco F, Schaechtle, Ulrich, Rinard, Martin C, Mansinghka, Vikash K

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Sequential Monte Carlo Learning for Time Series Structure Discovery von Saad, Feras A, Patton, Brian J, Hoffman, Matthew D, Saurous, Rif A, Mansinghka, Vikash K

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A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions von Saad, Feras A, Freer, Cameron E, Ackerman, Nathanael L, Mansinghka, Vikash K

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Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series von Saad, Feras A, Mansinghka, Vikash K

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