ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs von Lew, Alexander K., Huot, Mathieu, Staton, Sam, Mansinghka, Vikash K.

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Trace types and denotational semantics for sound programmable inference in probabilistic languages von Lew, Alexander K., Cusumano-Towner, Marco F., Sherman, Benjamin, Carbin, Michael, Mansinghka, Vikash K.

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Probabilistic Programming with Stochastic Probabilities von Lew, Alexander K., Ghavamizadeh, Matin, Rinard, Martin C., Mansinghka, Vikash K.

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Probabilistic Programming with Programmable Variational Inference von Becker, McCoy R., Lew, Alexander K., Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, 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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omega$PAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs von Huot, Mathieu, Lew, Alexander K, Mansinghka, Vikash K, Staton, Sam

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ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs von Lew, Alexander K, Huot, Mathieu, Staton, Sam, Mansinghka, Vikash K

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Recursive Monte Carlo and Variational Inference with Auxiliary Variables von Lew, Alexander K, Cusumano-Towner, Marco, Mansinghka, Vikash K

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Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages von Lew, Alexander K, Huot, Mathieu, Mansinghka, Vikash K

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Probabilistic Programming with Programmable Variational Inference von Becker, McCoy R, Lew, Alexander K, Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, Rinard, Martin C, Mansinghka, Vikash K

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Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs von Lew, Alexander K, Zhi-Xuan, Tan, Grand, Gabriel, 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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From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought von Wong, Lionel, Grand, Gabriel, Lew, Alexander K, Goodman, Noah D, Mansinghka, Vikash K, Andreas, Jacob, Tenenbaum, Joshua B

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PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming von Lew, Alexander K, Agrawal, Monica, Sontag, David, Mansinghka, Vikash K

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Automating Involutive MCMC using Probabilistic and Differentiable Programming von Cusumano-Towner, Marco, Lew, Alexander K, Mansinghka, Vikash K

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Differentiating Metropolis-Hastings to Optimize Intractable Densities von Arya, Gaurav, Seyer, Ruben, Schäfer, Frank, Chandra, Kartik, Lew, Alexander K, Huot, Mathieu, Mansinghka, Vikash K, Ragan-Kelley, Jonathan, Rackauckas, Christopher, Schauer, Moritz

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(\omega\)PAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs von Huot, Mathieu, Lew, Alexander K, Mansinghka, Vikash K, Staton, Sam

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PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming von Lew, Alexander K, Agrawal, Monica, Sontag, David, Mansinghka, Vikash K

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Recursive Monte Carlo and Variational Inference with Auxiliary Variables von Lew, Alexander K, Cusumano-Towner, Marco, Mansinghka, Vikash K

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Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs von Lew, Alexander K, Zhi-Xuan, Tan, Grand, Gabriel, Mansinghka, Vikash K

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