Alexander K. Lew

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Variational Inference

Metropolis Hastings

Generative Model

Top Venues

Proc. ACM Program. Lang.

Publications

Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. Proc. ACM Program. Lang. 8 (PLDI) (2024)
McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami, Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka
Probabilistic Programming with Programmable Variational Inference. CoRR (2024)
McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami, Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka
Probabilistic Programming with Programmable Variational Inference. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. CoRR (2024)
Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. Proc. ACM Program. Lang. 7 (POPL) (2023)
Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton
ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. CoRR (2023)
Alexander K. Lew, Matin Ghavamizadeh, Martin C. Rinard, Vikash K. Mansinghka
Probabilistic Programming with Stochastic Probabilities. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer
Differentiating Metropolis-Hastings to Optimize Intractable Densities. CoRR (2023)
Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton
ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. LICS (2023)
Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS (2023)
Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR (2023)
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR (2023)
Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. CoRR (2022)
Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka
Recursive Monte Carlo and Variational Inference with Auxiliary Variables. CoRR (2022)
Alexander K. Lew, Marco Cusumano-Towner, Vikash K. Mansinghka
Recursive Monte Carlo and variational inference with auxiliary variables. UAI (2022)
Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka
Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages. CoRR (2021)
Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. AISTATS (2021)
Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum
Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci (2020)
Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash K. Mansinghka
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. CoRR (2020)
Alexander K. Lew, Marco F. Cusumano-Towner, Benjamin Sherman, Michael Carbin, Vikash K. Mansinghka
Trace types and denotational semantics for sound programmable inference in probabilistic languages. Proc. ACM Program. Lang. 4 (POPL) (2020)
Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka
Gen: a general-purpose probabilistic programming system with programmable inference. PLDI (2019)
Sam Witty, Alexander K. Lew, David D. Jensen, Vikash Mansinghka
Bayesian causal inference via probabilistic program synthesis. CoRR (2019)