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BayesDB: A probabilistic programming system for querying the probable
  implications of data

BayesDB: A probabilistic programming system for querying the probable implications of data

15 December 2015
Vikash K. Mansinghka
R. Tibbetts
Jay Baxter
Pat Shafto
Baxter S. Eaves
ArXivPDFHTML

Papers citing "BayesDB: A probabilistic programming system for querying the probable implications of data"

4 / 4 papers shown
Title
Minority Class Oversampling for Tabular Data with Deep Generative Models
Minority Class Oversampling for Tabular Data with Deep Generative Models
R. Camino
Christian A. Hammerschmidt
R. State
19
2
0
07 May 2020
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
6
191
0
23 Apr 2020
Probabilistic Programming with Densities in SlicStan: Efficient,
  Flexible and Deterministic
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic
Maria I. Gorinova
Andrew D. Gordon
Charles Sutton
25
23
0
02 Nov 2018
Probabilistic Search for Structured Data via Probabilistic Programming
  and Nonparametric Bayes
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
Feras A. Saad
Leonardo Casarsa
Vikash K. Mansinghka
18
5
0
04 Apr 2017
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