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Address:

435 Evans Hall,
Berkeley, CA 94720.


Email:
 

jianbochen "at" berkeley "dot" edu     


About me: 

I am a PhD student in Statistics at University of California, Berkeley working with Michael I. Jordan. My current research interests lie in machine learning, optimization and high dimensional statistics. I completed a B.S. with honors in mathematics at the University of Hong. I was born and grew up in Shanghai, China. 


Education

2015-present   University of California, Berkeley

                        Ph.D. student in Statistics

2012-2015      The University of Hong Kong

                        Bachelor of Science in Mathematics


Experience

Fall 2017         UC Berkeley, Berkeley

                        Graduate Student Instructor for CS 189/289A: Introduction to Machine Learning

Summer 2017 Microsoft Research, Redmond

                        Research Intern with Yelong Shen and Jianfeng Gao

 

Publications

Kernel Feature Selection via Conditional Covariance Minimization [arXiv]

Jianbo Chen*, Mitchell Stern*, Martin J. Wainwright, Michael I. Jordan

Neural Information Processing Systems (NIPS) 2017.

(*indicates equal contributions)


Nonconvex Finite-Sum Optimization vis SCSG Methods [arXiv]

Lihua Lei, Cheng Ju, Jianbo Chen, Michael I. Jordan

Neural Information Processing Systems (NIPS) 2017.


QuTE Algorithms for Decentralized Decision Making on Networks with False Discovery Rate Control [code]

Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan

56th IEEE Conference on Decision and Control (CDC) 2017.


DAGGER: A sequential algorithm for FDR control on DAGs 
[arXiv]

Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan

Submitted to Biometrika 2017.