基本信息
浏览量:956
职业迁徙
个人简介
My main research interests are in machine learning, artificial intelligence, and theoretical computer science. Current research focus includes:
Developing foundations and principled, practical algorithms for important modern learning paradigms. These include interactive learning, distributed learning, learning representations, life-long learning, and metalearning. My research addresses important challenges of these settings, including statistical efficiency, computational efficiency, noise tolerance, limited supervision or interaction, privacy, low communication, and incentives.
Foundations and applications of data driven algorithm design. Design and analysis of algorithms on realistic instances (a.k.a. beyond worst case).
Computational and data-driven approaches in game theory and economics.
Computational, learning theoretic, and game theoretic aspects of multi-agent systems. Analyzing the overall behavior of complex systems in which multiple agents with limited information are adapting their behavior based on past experience, both in social and engineered systems contexts.
Developing foundations and principled, practical algorithms for important modern learning paradigms. These include interactive learning, distributed learning, learning representations, life-long learning, and metalearning. My research addresses important challenges of these settings, including statistical efficiency, computational efficiency, noise tolerance, limited supervision or interaction, privacy, low communication, and incentives.
Foundations and applications of data driven algorithm design. Design and analysis of algorithms on realistic instances (a.k.a. beyond worst case).
Computational and data-driven approaches in game theory and economics.
Computational, learning theoretic, and game theoretic aspects of multi-agent systems. Analyzing the overall behavior of complex systems in which multiple agents with limited information are adapting their behavior based on past experience, both in social and engineered systems contexts.
研究兴趣
论文共 1 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
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