基本信息
浏览量:177
职业迁徙
个人简介
I am an incoming Research Scientist at Google. At Google I will be working on time-series problems and bandit based black-box optimization.
I was an Applied Scientist at Amazon Search till November 2020. At Amazon, I was a part of team MIDAS lead by Inderjit Dhillon where I was fortunate to collaborate with Sujay Sanghavi, Arya Mazumdar, Alexander Rakhlin and Lexing Ying. I worked on various topics including extreme multi-label learning for search and contextual bandit problems with enormous number of arms.
I was an Applied Scientist at Amazon Search till November 2020. At Amazon, I was a part of team MIDAS lead by Inderjit Dhillon where I was fortunate to collaborate with Sujay Sanghavi, Arya Mazumdar, Alexander Rakhlin and Lexing Ying. I worked on various topics including extreme multi-label learning for search and contextual bandit problems with enormous number of arms.
研究兴趣
论文共 42 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
CoRR (2023): 70:1-70:22
UAIpp.476-484, (2023)
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
ICLR 2024 (2023)
引用0浏览0EI引用
0
0
International Conference on Machine Learning (2022): 17202-17220
引用10浏览0EI引用
10
0
arxiv(2022)
引用4浏览0EI引用
4
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