基本信息
浏览量:31
职业迁徙
个人简介
I'm interested in developing safe and robust machine learning systems that behave in the way we expect, making them able to work with humans effectively.
One aspect of this is understanding decision making agents through imitation and inverse reinforcement learning. A probabilistic perspective allows us to handle the crucial uncertainty surrounding behaviour and as part of my PhD I'm looking to build scalable and well-calibrated Bayesian approximate methods that can bring us key insights and support high-stakes decisions particularly in the medical setting.
One aspect of this is understanding decision making agents through imitation and inverse reinforcement learning. A probabilistic perspective allows us to handle the crucial uncertainty surrounding behaviour and as part of my PhD I'm looking to build scalable and well-calibrated Bayesian approximate methods that can bring us key insights and support high-stakes decisions particularly in the medical setting.
研究兴趣
论文共 18 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)
引用0浏览0EI引用
0
0
Lorenzo Pacchiardi,Alex J. Chan,Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan,Yarin Gal,Owain Evans,Jan Brauner
ICLR 2024 (2023)
引用0浏览0EI引用
0
0
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGYno. 7 (2023): 953-962
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