Alexander K. Lew

31 papers A* 3A 3B 3Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probabilistic Programming with Vectorized Programmable Inference. Proc. ACM Program. Lang. McCoy R. Becker, Mathieu Huot, George Matheos, Xiaoyan Wang, Karen Chung, Colin Smith, Sam Ritchie, Rif A. Saurous, Alexander K. Lew, Martin C. Rinard, Vikash K. Mansinghka
2025	J	`jnl`	Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. CoRR Benjamin Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Li Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira
2025	B	`conf`	Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. CogSci Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum
2025	J	`jnl`	Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. CoRR Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Joshua B. Tenenbaum, Tyler Brooke-Wilson
2025	J	`jnl`	Self-Steering Language Models. CoRR Gabriel Grand, Joshua B. Tenenbaum, Vikash K. Mansinghka, Alexander K. Lew, Jacob Andreas
2025	J	`jnl`	Stochastic Lazy Knowledge Compilation for Inference in Discrete Probabilistic Programs. Proc. ACM Program. Lang. Maddy Bowers, Alexander K. Lew, Joshua B. Tenenbaum, Armando Solar-Lezama, Vikash K. Mansinghka
2025	A*	`conf`	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. ICLR João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell
2025	J	`jnl`	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. CoRR João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell
2024	B	`conf`	Concept Learning as Coarse-to-Fine Probabilistic Program Induction. CogSci Maddy Bowers, Alexander K. Lew, Wenhao Qi, Joshua S. Rule, Vikash Mansinghka, Josh Tenenbaum, Armando Solar-Lezama
2024	J	`jnl`	GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. CoRR Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
2024	J	`jnl`	GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables. Proc. ACM Program. Lang. Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka
2024	J	`jnl`	Probabilistic Programming with Programmable Variational Inference. CoRR McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami, Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka
2024	J	`jnl`	Probabilistic Programming with Programmable Variational Inference. Proc. ACM Program. Lang. McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami, Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka
2023	J	`jnl`	ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. Proc. ACM Program. Lang. Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka
2023	J	`jnl`	Differentiating Metropolis-Hastings to Optimize Intractable Densities. CoRR Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer
2023	J	`jnl`	From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
2023	J	`jnl`	Probabilistic Programming with Stochastic Probabilities. Proc. ACM Program. Lang. Alexander K. Lew, Matin Ghavamizadeh, Martin C. Rinard, Vikash K. Mansinghka
2023	A	`conf`	SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
2023	J	`jnl`	Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs. CoRR Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash K. Mansinghka
2023	A*	`conf`	ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. LICS Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton
2023	J	`jnl`	ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs. CoRR Mathieu Huot, Alexander K. Lew, Vikash K. Mansinghka, Sam Staton
2022	J	`jnl`	ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. CoRR Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka
2022	J	`jnl`	Recursive Monte Carlo and Variational Inference with Auxiliary Variables. CoRR Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2022	A	`conf`	Recursive Monte Carlo and variational inference with auxiliary variables. UAI Alexander K. Lew, Marco F. Cusumano-Towner, Vikash K. Mansinghka
2021	A	`conf`	PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. AISTATS Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash Mansinghka
2021	J	`jnl`	Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages. CoRR Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka
2020	B	`conf`	Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum
2020	J	`jnl`	PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming. CoRR Alexander K. Lew, Monica Agrawal, David A. Sontag, Vikash K. Mansinghka
2020	J	`jnl`	Trace types and denotational semantics for sound programmable inference in probabilistic languages. Proc. ACM Program. Lang. Alexander K. Lew, Marco F. Cusumano-Towner, Benjamin Sherman, Michael Carbin, Vikash K. Mansinghka
2019	J	`jnl`	Bayesian causal inference via probabilistic program synthesis. CoRR Sam Witty, Alexander K. Lew, David D. Jensen, Vikash Mansinghka
2019	A*	`conf`	Gen: a general-purpose probabilistic programming system with programmable inference. PLDI Marco F. Cusumano-Towner, Feras A. Saad, Alexander K. Lew, Vikash K. Mansinghka