38 citations · 86 across the 19 of their papers we have counts for
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cs.LG2022★ 2 cited
Recursive Monte Carlo and Variational Inference with Auxiliary Variables
Alexander K. Lew, Marco Cusumano-Towner, Vikash K. Mansinghka
A key design constraint when implementing Monte Carlo and variational inference algorithms is that it must be possible to cheaply and exactly evaluate the marginal densities of pro…
cs.LG2020★ 2 cited
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Alexander K. Lew, Monica Agrawal, David Sontag +1
Data cleaning is naturally framed as probabilistic inference in a generative model of ground-truth data and likely errors, but the diversity of real-world error patterns and the ha…