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ORCIDAlexander K. Lew
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2020 – today
- 2024
[j5]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): 790-815 (2024)- [j4]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): 2123-2147 (2024) - [i11]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 abs/2406.15652 (2024) - [i10]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 abs/2406.15742 (2024) - 2023
- [j3]Alexander K. Lew, Matin Ghavamizadeh, Martin C. Rinard, Vikash K. Mansinghka:
Probabilistic Programming with Stochastic Probabilities. Proc. ACM Program. Lang. 7(PLDI): 1708-1732 (2023) - [j2]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): 121-153 (2023) - [c6]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: 7061-7088 - [c5]Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton:
ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. LICS 2023: 1-14 - [i9]Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton:
ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. CoRR abs/2302.10636 (2023) - [i8]Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka:
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR abs/2306.03081 (2023) - [i7]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 abs/2306.07961 (2023) - [i6]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 abs/2306.12672 (2023) - 2022
- [c4]Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka:
Recursive Monte Carlo and variational inference with auxiliary variables. UAI 2022: 1096-1106 - [i5]Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka:
Recursive Monte Carlo and Variational Inference with Auxiliary Variables. CoRR abs/2203.02836 (2022) - [i4]Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka:
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. CoRR abs/2212.06386 (2022) - 2021
- [c3]Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka:
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. AISTATS 2021: 1927-1935 - [i3]Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka:
Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages. CoRR abs/2111.15456 (2021) - 2020
- [j1]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): 19:1-19:32 (2020) - [c2]Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum:
Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci 2020 - [i2]Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash K. Mansinghka:
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. CoRR abs/2007.11838 (2020)
2010 – 2019
- 2019
- [c1]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: 221-236 - [i1]Sam Witty, Alexander K. Lew, David D. Jensen, Vikash Mansinghka:
Bayesian causal inference via probabilistic program synthesis. CoRR abs/1910.14124 (2019)
Coauthor Index
aka: Vikash K. Mansinghka
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