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  Improving Screening Processes via Calibrated Subset Selection

Wang, L., Joachims, T., & Gomez Rodriguez, M. (2022). Improving Screening Processes via Calibrated Subset Selection. In K. Chaudhuri, S. Jegelka, S. Le, S. Csaba, N. Gang, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (pp. 22702-22726). Retrieved from https://proceedings.mlr.press/v162/wang22j.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-9937-C Version Permalink: https://hdl.handle.net/21.11116/0000-000A-D0DE-1
Genre: Conference Paper

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arXiv:2202.01147.pdf (Preprint), 628KB
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https://proceedings.mlr.press/v162/wang22j/wang22j.pdf (Publisher version)
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 Creators:
Wang, Lequn1, Author
Joachims, Thorsten2, Author
Gomez Rodriguez, Manuel1, Author           
Affiliations:
1Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290              
2External Organizations, ou_persistent22              

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Free keywords: Computer Science, Learning, cs.LG,Computer Science, Computers and Society, cs.CY,Statistics, Machine Learning, stat.ML
 Abstract: -

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Language(s): eng - English
 Dates: 2022-02-022022-06-122022
 Publication Status: Published online
 Pages: 30 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: WangICML22
URI: https://proceedings.mlr.press/v162/wang22j.html
 Degree: -

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Title: 39th International Conference on Machine Learning
Place of Event: Baltimore, MA, USA
Start-/End Date: 2022-07-17 - 2022-07-23

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Project name : HumanML
Grant ID : 945719
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

Source 1

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Title: Proceedings of the 39th International Conference on Machine Learning
  Abbreviation : ICML 2022
Source Genre: Proceedings
 Creator(s):
Chaudhuri, Kamalika1, Editor
Jegelka, Stefanie1, Editor
Le, Song1, Editor
Csaba, Szepesvari1, Editor
Gang, Niu1, Editor
Sabato, Sivan1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 22702 - 22726 Identifier: -

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Title: Proceedings of Machine Learning Research
  Abbreviation : PMLR
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 162 Sequence Number: - Start / End Page: - Identifier: ISSN: 1938-7228