38 citations · 109 across the 14 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
stat.ML2016★ 6 cited
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…
stat.ML2016★ 5 cited
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
Feras Saad, Vikash Mansinghka
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 rel…
cs.AI2016★ 9 cited
Probabilistic Data Analysis with Probabilistic Programming
Feras Saad, Vikash Mansinghka
Probabilistic techniques are central to data analysis, but different approaches can be difficult to apply, combine, and compare. This paper introduces composable generative populat…