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When Can Nonconvex Optimization Problems Be Solved with Gradient Descent? A Few Case Studies
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | When Can Nonconvex Optimization Problems Be Solved with Gradient Descent? A Few Case Studies. |
| 개인저자 | Gilboa, Dar. |
| 단체저자명 | Columbia University. Neurobiology and Behavior. |
| 발행사항 | [S.l.]: Columbia University., 2020. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2020. |
| 형태사항 | 227 p. |
| 기본자료 저록 | Dissertations Abstracts International 82-04B. Dissertation Abstract International |
| ISBN | 9798672190365 |
| 학위논문주기 | Thesis (Ph.D.)--Columbia University, 2020. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 82-04, Section: B.
Advisor: Wright, John. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Computer science. Systems science. Artificial intelligence. Information technology. Robotics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
