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On connections between machine learning and information elicitation, choice modeling, and theoretical computer science / Arpit Agarwal.

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Dissertations & Theses @ University of Pennsylvania Available online

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Format:
Book
Thesis/Dissertation
Author/Creator:
Agarwal, Arpit, author.
Contributor:
Agarwal, Shivani, degree supervisor.
University of Pennsylvania. Department of Computer and Information Science, degree granting institution.
Language:
English
Subjects (All):
Computer science.
Artificial intelligence.
Information science.
Datasets.
Algorithms.
Experiments.
Computer and Information Science--Penn dissertations.
Penn dissertations--Computer and Information Science.
Local Subjects:
Computer science.
Artificial intelligence.
Information science.
Datasets.
Algorithms.
Experiments.
Computer and Information Science--Penn dissertations.
Penn dissertations--Computer and Information Science.
Genre:
Academic theses.
Physical Description:
1 online resource (310 pages)
Contained In:
Dissertations Abstracts International 83-03B.
Place of Publication:
[Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2021.
Language Note:
English
System Details:
Mode of access: World Wide Web.
text file
Summary:
Machine learning, which has its origins at the intersection of computer science and statistics, is now a rapidly growing area of research that is being integrated into almost every discipline in science and business such as economics, marketing and information retrieval. As a consequence of this integration, it is necessary to understand how machine learning interacts with these disciplines and to understand fundamental questions that arise at the resulting interfaces. The goal of my thesis research is to study these interdisciplinary questions at the interface of machine learning and other disciplines including mechanism design/information elicitation, preference/choice modeling, and theoretical computer science.
Notes:
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Advisors: Agarwal, Shivani; Committee members: Khanna, Sanjeev; Vohra, Rakesh; Hassani, Hamed; Parkes, David .
Department: Computer and Information Science.
Ph.D. University of Pennsylvania 2021.
Local Notes:
School code: 0175
ISBN:
9798535591490
Access Restriction:
Restricted for use by site license.
This item must not be sold to any third party vendors.

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