Tabular: Probabilistic Inference from the Spreadsheet

Cambridge University Press eBooks, pp. 489–532

Abstract

Tabular is a domain-specific language for expressing probabilistic models of relational data. Tabular has several features that set it apart from other probabilistic programming languages including: (1) programs and data are stored as spreadsheet tables; (2) programs consist of probabilistic annotations on the relational schema of the data; and (3) inference returns estimations of missing values and latent columns, as well as parameters. Our primary implementation is for Microsoft Excel and relies on Infer.NET for inference. Still, the language can be called independently of Excel and can target alternative inference engines.

Authors 6

1. Andrew D. Gordon Aachen

   Uppsala University · Google (United States) · University of Oxford · RWTH Aachen University · University of Edinburgh

   Affiliation as printed

   Google Research, Brain Team, Montreal

   Microsoft Research and University of Edinburgh

   RWTH Aachen University

   University of Edinburgh and Oxford University

   Uppsala University

   Zürich

2. Claudio V. Russo

   University College London

   Affiliation as printed

   University College London

3. Marcin Szymczak Aachen

   Uppsala University · Google (United States) · University of Oxford · RWTH Aachen University · University of Edinburgh

   Affiliation as printed

   Google Research, Brain Team, Montreal

   Microsoft Research and University of Edinburgh

   RWTH Aachen University

   University of Edinburgh and Oxford University

   Uppsala University

   Zürich

4. Johannes Borgström Aachen

   Uppsala University · Google (United States) · University of Oxford · RWTH Aachen University · University of Edinburgh

   Affiliation as printed

   Google Research, Brain Team, Montreal

   Microsoft Research and University of Edinburgh

   RWTH Aachen University

   University of Edinburgh and Oxford University

   Uppsala University

   Zürich

5. Thore Graepel Aachen

   Uppsala University · Google (United States) · University of Oxford · RWTH Aachen University · University of Edinburgh

   Affiliation as printed

   Google Research, Brain Team, Montreal

   Microsoft Research and University of Edinburgh

   RWTH Aachen University

   University of Edinburgh and Oxford University

   Uppsala University

   Zürich

6. Daniel Tarlow

   University College London

   Affiliation as printed

   University College London