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Detecting Dependencies in Sparse, Multivariate Databases Using
  Probabilistic Programming and Non-parametric Bayes
v1v2 (latest)

Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes

5 November 2016
Feras A. Saad
Vikash K. Mansinghka
ArXiv (abs)PDFHTML

Papers citing "Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes"

5 / 5 papers shown
Title
Estimators of Entropy and Information via Inference in Probabilistic
  Models
Estimators of Entropy and Information via Inference in Probabilistic Models
Feras A. Saad
Marco F. Cusumano-Towner
Vikash K. Mansinghka
56
4
0
24 Feb 2022
Hierarchical Infinite Relational Model
Hierarchical Infinite Relational Model
Feras A. Saad
Vikash K. Mansinghka
44
5
0
16 Aug 2021
Human Factors in Model Interpretability: Industry Practices, Challenges,
  and Needs
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
Sungsoo Ray Hong
Jessica Hullman
E. Bertini
HAI
87
195
0
23 Apr 2020
A Bayesian nonparametric test for conditional independence
A Bayesian nonparametric test for conditional independence
Onur Teymur
Sarah Filippi
54
5
0
24 Oct 2019
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Feras A. Saad
Marco F. Cusumano-Towner
Ulrich Schaechtle
Martin Rinard
Vikash K. Mansinghka
58
62
0
14 Jul 2019
1