28 citations · 44 across the 4 of their papers we have counts for
4 papers
GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables
Mathieu Huot, Matin Ghavami, Alexander K. Lew +6
This article presents GenSQL, a probabilistic programming system for querying probabilistic generative models of database tables. By augmenting SQL with only a few key primitives f…
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle +2
We present new techniques for automatically constructing probabilistic programs for data analysis, interpretation, and prediction. These techniques work with probabilistic domain-s…
Time Series Structure Discovery via Probabilistic Program Synthesis
Ulrich Schaechtle, Feras Saad, Alexey Radul +1
There is a widespread need for techniques that can discover structure from time series data. Recently introduced techniques such as Automatic Bayesian Covariance Discovery (ABCD) p…
Probabilistic Programming with Gaussian Process Memoization
Ulrich Schaechtle, Ben Zinberg, Alexey Radul +2
Gaussian Processes (GPs) are widely used tools in statistics, machine learning, robotics, computer vision, and scientific computation. However, despite their popularity, they can b…