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Statistical contract theory

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Authors : Jordan, Michael (Author of the conference)
CIRM (Publisher )

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Abstract : Contract theory is the study of economic incentives when parties transact in the presence of private information. We augment classical contract theory to incorporate a role for learning from data, where the overall goal of the adaptive mechanism is to obtain desired statistical behavior. We consider applications of this framework to problems in federated learning, the delegation of data collection, and principal-agent regulatory mechanisms.

Keywords : Statistical inference; asymmetry of information; statistical contract theory

MSC Codes :
68T05 - Learning and adaptive systems

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 22/12/2023
    Conference Date : 12/12/2023
    Subseries : Research talks
    arXiv category : Computer Science ; Statistics ; Economics
    Mathematical Area(s) : Computer Science ; Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 01:06:56
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2023-12-12_Jordan.mp4

Information on the Event

Event Title : From matchings to markets. A tale of Mathematics, Economics and Computer Science. / Des matchings aux marchés. Une histoire de mathématiques
Event Organizers : Arnosti, Nick ; Combe, Julien ; Mathieu, Claire ; Perchet, Vianney
Dates : 11/12/2023 - 15/12/2023
Event Year : 2023
Event URL : https://conferences.cirm-math.fr/2879.html

Citation Data

DOI : 10.24350/CIRM.V.20118903
Cite this video as: Jordan, Michael (2023). Statistical contract theory. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20118903
URI : http://dx.doi.org/10.24350/CIRM.V.20118903

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