基本信息
浏览量:317
职业迁徙
个人简介
Jamieson’s research explores how to leverage already-collected data to inform what future measurements to make next, in a closed loop. Such active learning can extract considerably richer insights than any measurement plan fixed in advance, using the same statistical budget. His work ranges from theory to practical algorithms with guarantees to open-source machine learning systems and has been adopted in a range of applications, including measuring human perception in psychology studies, adaptive A/B/n testing in dynamic web-environments, numerical optimization, and choosing hyperparameters for deep neural networks.
研究兴趣
论文共 92 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
Gantavya Bhatt,Yifang Chen, Arnav M. Das,Jifan Zhang, Sang T. Truong,Stephen Mussmann,Yinglun Zhu,Jeffrey Bilmes,Simon S. Du,Kevin Jamieson,Jordan T. Ash,Robert D. Nowak
CoRR (2024)
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
arXiv (Cornell University) (2023)
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