Alexander K. Lew

Orcid: 0000-0002-9262-4392

According to our database1, Alexander K. Lew authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables.
Proc. ACM Program. Lang., 2024

Probabilistic Programming with Programmable Variational Inference.
Proc. ACM Program. Lang., 2024

2023
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs.
Proc. ACM Program. Lang., January, 2023

Probabilistic Programming with Stochastic Probabilities.
Proc. ACM Program. Lang., 2023

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.
CoRR, 2023

Differentiating Metropolis-Hastings to Optimize Intractable Densities.
CoRR, 2023

Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs.
CoRR, 2023

ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs.
Proceedings of the 38th Annual ACM/IEEE Symposium on Logic in Computer Science, 2023

SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Recursive Monte Carlo and variational inference with auxiliary variables.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages.
CoRR, 2021

PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Trace types and denotational semantics for sound programmable inference in probabilistic languages.
Proc. ACM Program. Lang., 2020

Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Bayesian causal inference via probabilistic program synthesis.
CoRR, 2019

Gen: a general-purpose probabilistic programming system with programmable inference.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019


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