LDR | | 00000nam u2200205 4500 |
001 | | 000000432887 |
005 | | 20200225103842 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781088372425 |
035 | |
▼a (MiAaPQ)AAI22589466 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 510 |
100 | 1 |
▼a Karatapanis, Konstantinos. |
245 | 10 |
▼a Certain Systems Arising in Stochastic Gradient Descent. |
260 | |
▼a [S.l.]:
▼b University of Pennsylvania.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 104 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B. |
500 | |
▼a Advisor: Pemantle, Robin. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Pennsylvania, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a This item must not be added to any third party search indexes. |
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▼a 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. |
590 | |
▼a School code: 0175. |
650 | 4 |
▼a Mathematics. |
690 | |
▼a 0405 |
710 | 20 |
▼a University of Pennsylvania.
▼b Mathematics. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-05B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0175 |
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▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493155
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
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▼a 202002
▼f 2020 |
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▼a ***1008102 |
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▼a E-BOOK |