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Certain Systems Arising in Stochastic Gradient Descent / Konstantinos Karatapanis.
Connect to full text Available online
View online- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Karatapanis, Konstantinos, author.
- Language:
- English
- Subjects (All):
- Mathematics.
- Mathematics--Penn dissertations.
- Penn dissertations--Mathematics.
- Local Subjects:
- Mathematics.
- Mathematics--Penn dissertations.
- Penn dissertations--Mathematics.
- Genre:
- Academic theses.
- Physical Description:
- 1 online resource (104 pages)
- Contained In:
- Dissertations Abstracts International 81-05B.
- Place of Publication:
- [Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2019.
- Language Note:
- English
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- Stochastic approximations is a rich branch of probability theory and has a wide range of application. Here we study stochastic approximations from the perspective of gradient descent. An important question is what is the asymptotic limit of a stochastic approximation. In that spirit we will provide a detailed description for the limiting behavior of certain one dimensional stochastic approximations.
- Notes:
- Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
- Advisors: Pemantle, Robin; Committee members: Philip Gressman; Henry Towsner; Robin Pemantle.
- Department: Mathematics.
- Ph.D. University of Pennsylvania 2019.
- Local Notes:
- School code: 0175
- ISBN:
- 9781088372425
- Access Restriction:
- Restricted for use by site license.
- This item must not be sold to any third party vendors.
- This item must not be added to any third party search indexes.
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