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  Estimating Social Influence from Observational Data

Sridhar, D., De Bacco, C., & Blei, D. (2022). Estimating Social Influence from Observational Data. In Proceedings of the First Conference on Causal Learning and Reasoning (pp. 712-733).

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Genre: Conference Paper

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Locator:
https://proceedings.mlr.press/v177/ (Publisher version)
Description:
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OA-Status:
Miscellaneous
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OA-Status:
Green
Locator:
https://openreview.net/pdf?id=nbsWo7ob-Mm (Publisher version)
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OA-Status:
Miscellaneous

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 Creators:
Sridhar, Dhanya1, Author
De Bacco, Caterina2, Author                 
Blei, David1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_3031010              

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Free keywords: Forschungsgruppe De Bacco
 Abstract: -

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: 22
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: causal_social
arXiv: 2204.01633
 Degree: -

Event

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Title: 1st Conference on Causal Learning and Reasoning
Place of Event: Eureka, CA
Start-/End Date: 2022-04-11 - 2022-04-13

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Source 1

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Title: Proceedings of the First Conference on Causal Learning and Reasoning
Source Genre: Proceedings
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 712 - 733 Identifier: -

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Title: Proceedings of Machine Learning Research
  Abbreviation : PMLR
Source Genre: Series
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Publ. Info: PMLR
Pages: - Volume / Issue: 177 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498