| LDR | | 01231nam u200325 4500 |
| 001 | | 000000456653 |
| 005 | | 20210323091521 |
| 008 | | 210127s2019 |||||||||||||||||c||eng d |
| 020 | |
▼a 9798698506027 |
| 040 | |
▼a 247004
▼c 247004
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Bai, Yu. |
| 245 | 10 |
▼a When Do Gradient Methods Work Well in Non-convex Learning Problems?. |
| 260 | |
▼a [S.l.]:
▼b Stanford University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 192 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 82-06, Section: B. |
| 500 | |
▼a Advisor: Duchi, John;Candes, Emmanuel;Montanari, Andrea. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Stanford University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 650 | 4 |
▼a Statistics. |
| 710 | 20 |
▼a Stanford University. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 82-06B. |
| 773 | |
▼t Dissertation Abstract International |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15761259
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202102
▼f 2021 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |