Background Deep brain stimulation (DBS) surgery is an option for patients experiencing
medically resistant neurologic symptoms. DBS complications are rare; finding significant …

The computational principles underlying predictive capabilities in animals are poorly
understood. Here, we wondered whether predictive models mediating prey capture could be …

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 for …

Probabilistic techniques are central to data analysis, but different approaches can be
challenging to apply, combine, and compare. This paper introduces composable generative …

Datasets with hundreds of variables and many missing values are commonplace. In this
setting, it is both statistically and computationally challenging to detect true predictive …

How can we automate and scale up the processes of learning accurate probabilistic models
of complex data and obtaining principled solutions to probabilistic inference and analysis …

This paper introduces the probabilistic module interface, which allows encapsulation of
complex probabilistic models with latent variables alongside custom stochastic approximate …

Databases are widespread, yet extracting relevant data can be difficult. Without substantial
domain knowledge, multivariate search queries often return sparse or uninformative results …

This article investigates whether an algorithm can provide an undiscovered physical
phenomenon by detecting patterns in the region where the data collected. The pattern …

BayesDB [1, 2] is a probabilistic programming platform that enables users to solve
probabilistic data analysis problems using a simple, SQL-like language. Queries execute …