贾金柱

个人概况

姓    名:贾金柱

职    称:研究员

职    务:

研究方向:高维统计推断、机器学习和因果推断

通信地址:北京大学医学部公共卫生学院

电    话:

电子邮件:jzjia@math.pku.edu.cn

教育情况

2004/09 – 2009/01,北京大学,数学科学学院,博士,导师:耿直

2000/09 – 2004/07, 武汉大学,数学与统计学学院,学士

工作经历

1. 2018/02-至今,北京大学,公共卫生学院,研究员

2. 2011/01-2018/01, 北京大学,数学科学学院,副研究员

3. 2009/01-2010/12,UC Berkeley,统计系,博士后,合作导师:郁彬

科研项目(973、科技部重点研发计划等)

1. 国家自然科学基金面上项目,11571021,文本挖掘的统计建模,2016/01-2019/12; 52.8 万元;在研,主持

2. 国家自然科学基金青年科学项目,11101005,稀疏方差分析与稀疏高维贝叶斯网络;2012/01-2014/12;22 万元;已结题,主持

3. 自然科学基金创新群体项目,61121002,高逼真度试听系统的理论与方法;2012/01-2014/12,15万元,已结题,参加。

4. 高等学校博士学科点专项科研基金新教师类基金,20110001120113,大规模稀疏模型的快速算法以及高维非凸稀疏模型的理论分析,2012/01-2014/12;5万元;已结题,主持。

著作文集(期刊专著等)

(1) Li Yanfang and Jinzhu Jia* (2017) . L1 least squares for sparse high-dimensional LDA[J]. Electronic Journal of Statistics, 2017, 11(1):2499-2518. 

(2) Junyang Qian and Jinzhu Jia* (2016). On Stepwise Pattern Recovery of Fused Lasso. Computational Statistics and Data Analysis 94 (2016), pp 221-237.

(3) Jinzhu Jia* and Karl Rohe (2015). Preconditioning the Lasso for sign consistency. Electronic Journal of Statistics 2015, pp 1150-1172.

(4) Jinzhu Jia*, Luke Miratrix, Bin Yu, Brian Gawalt, Laurent El Ghaoui, Luke Barnesmoore and Sophie Clavier (2014). Concise Comparative Summaries of Large Text Corpora with Human Experiment. The Annals of Applied Statistics, 499-529.

(5) Jinzhu Jia*, Karl Rohe and Bin Yu (2013). The Lasso under Poisson-like Heteroscedasticity. Staitstica Sinica 2013, pp 99-118

学术荣誉(获奖情况)

(1) Li, Y. #; Jia, J. * (2017). L1 least squares for sparse high-dimensional lda. Electronic Journal of Statistics, 11(1), 2499-2518.

(2) Jinzhu Jia#; Karl Rohe#*. (2015). Preconditioning the lasso for sign consistency. Electronic Journal of Statistics, 9 , 1150-1172.

(3) Junyang Qian; Jinzhu Jia(*). (2015). On Piecewise Pattern Recovery of Fused Lasso, Computational Statistics and Data Analysis, 94(2006): 221~237.

(4) Yangbo He#*; Jinzhu Jia; Bin Yu. (2015). Counting andExploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs, Journal of Machine Learning Research, 16(2015): 2589~2609.

(5) Jia, Jinzhu#*; Miratrix, Luke#; Yu, Bin; Gawalt, Brian; El Ghaoui, Laurent; Barnesmoore, Luke; Clavier, Sophie. (2014). CONCISE COMPARATIVE SUMMARIES (CCS) OF LARGE TEXT CORPORA WITH A HUMAN EXPERIMENT, Annals of Applied Statistics, 8(1): 499~529.   

社会服务(社会兼职、杂志编委等)