基本信息
浏览量:35
职业迁徙
个人简介
My Research area is Bayesian statistics and machine learning, with interests including graphical models, efficient Markov chain Monte Carlo methods and variational inference methods for Bayesian models, deep Bayesian learning/Bayesian deep learning, and various applications using probabilistic modeling.
Examples of subjects of interest including:
Scalable MCMC and variational approaches for large-scale Bayesian inference.
Graphical modeling of discrete and structured objects.
Efficient Bayesian phylogenetic inference algorithms, including both variational and Monte Carlo methods.
Examples of subjects of interest including:
Scalable MCMC and variational approaches for large-scale Bayesian inference.
Graphical modeling of discrete and structured objects.
Efficient Bayesian phylogenetic inference algorithms, including both variational and Monte Carlo methods.
研究兴趣
论文共 28 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
引用0浏览0EI引用
0
0
引用0浏览0EI引用
0
0
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2024): 115659
Shanshan Liu, Chenyi Guo, Yuting Zhao,Cheng Zhang,Lihao Yue, Ruijie Yao, Qifeng Lan,Xingyu Zhou, Bo Zhao,Ji Wu,Weishi Li,Nanfang Xu
Heliyonno. 17 (2024): e37418-e37418
NeurIPS 2023 (2023)
引用0浏览0引用
0
0
加载更多
作者统计
#Papers: 27
#Citation: 219
H-Index: 8
G-Index: 12
Sociability: 4
Diversity: 2
Activity: 39
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