基本信息
浏览量:863
职业迁徙
个人简介
Professor Anandkumar's research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms for machine learning. Tensor decomposition methods are embarrassingly parallel and scalable to enormous datasets. They are guaranteed to converge to the global optimum and yield consistent estimates for many probabilistic models such as topic models, community models, and hidden Markov models. More generally, Professor Anandkumar has been investigating efficient techniques to speed up non-convex optimization such as escaping saddle points efficiently.
研究兴趣
论文共 446 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Shengchao Liu,Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh Bhethanabotla, Nakul Rampal,Omar Yaghi,Christian Borgs,Anima Anandkumar, Hongyu Guo,Jennifer Chayes
CoRR (2024)
引用0浏览0EI引用
0
0
Zhongkai Hao, Chang Su,Songming Liu, Julius Berner,Chengyang Ying,Hang Su,Anima Anandkumar,Jian Song,Jun Zhu
arxiv(2024)
引用0浏览0引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
Runzhuo Ma,Dani Kiyasseh,Jasper A. Laca,Rafal Kocielnik,Elyssa Y. Wong, Timothy N. Chu, Steven Cen, Cherine H. Yang, Istabraq S. Dalieh,Taseen F. Haque, Mitch G. Goldenberg, Xiuzhen Huang,
Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici,Zongyi Li,Boris Bonev,Colin White, Julius Berner,Raymond A. Yeh,Jean Kossaifi,Kamyar Azizzadenesheli,Anima Anandkumar
arxiv(2024)
引用0浏览0引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn