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  On the Design of Consequential Ranking Algorithms

Tabibian, B., Gómez, V., De, A., Schölkopf, B., & Gomez Rodriguez, M. (2020). On the Design of Consequential Ranking Algorithms. In J. Peter, & D. Sontag (Eds.), Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (pp. 171-180). MLR Press.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-ABBF-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-ABC0-E
Genre: Conference Paper

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http://proceedings.mlr.press/v124/tabibian20a/tabibian20a.pdf (Publisher version)
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 Creators:
Tabibian, Behzad1, Author
Gómez, Vicenç1, Author
De, Abir2, Author           
Schölkopf, Bernhard1, Author
Gomez Rodriguez, Manuel2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: 10 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Tabibian_UAI2020
 Degree: -

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Title: 36th Conference on Uncertainty in Artificial Intelligence
Place of Event: Virtual Event
Start-/End Date: 2020-08-03 - 2020-08-06

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Title: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence
  Abbreviation : UAI 2020
Source Genre: Proceedings
 Creator(s):
Peter, Jonas1, Editor
Sontag, David1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: MLR Press
Pages: - Volume / Issue: - Sequence Number: 26 Start / End Page: 171 - 180 Identifier: -

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Title: Proceedings of the Machine Learning
  Abbreviation : PMLR
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 124 Sequence Number: - Start / End Page: - Identifier: -