Wei Hu

Wei Hu 

Wei Hu (胡威)
Ph.D. Student
Department of Computer Science
Princeton University

Email: huwei [at] cs [dot] princeton [dot] edu

About

I am a second year PhD student in the Department of Computer Science at Princeton University. I am very fortunate to be advised by Sanjeev Arora. Previously, I did my undergrad at Tsinghua University, where I was a member of Yao Class.

My current research interests are in the intersection of theoretical computer science and machine learning. In particular, I am interested in achieving better theoretical understanding of machine learning models and algorithms, as well as designing practical and provable algorithms for machine learning and optimization problems.

Publications

(* indicates alphabetical order)

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls [arxiv]

* Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li
In Neural Information Processing Systems (NIPS) 2017, spotlight

Combinatorial Multi-Armed Bandit with General Reward Functions [arxiv]

* Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu
In Neural Information Processing Systems (NIPS) 2016

New Characterizations in Turnstile Streams with Applications [paper] [slides]

* Yuqing Ai, Wei Hu, Yi Li, David P. Woodruff
In Computational Complexity Conference (CCC) 2016

WarpMap: Accurate and Efficient Indoor Location by Dynamic Warping in Sequence-Type Radio-Map [paper]

Xuehan Ye, Yongcai Wang, Wei Hu, Lei Song, Zhaoquan Gu, Deying Li
In IEEE International Conference on Sensing, Communication and Networking (SECON) 2016

Sequence-Type Fingerprinting for Indoor Localization [paper]

Wei Hu, Yongcai Wang, Lei Song
In International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2015

Talks

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls

Neural Information Processing Systems (NIPS), December 2017, Long Beach, CA, USA

New Characterizations in Turnstile Streams with Applications

Computational Complexity Conference (CCC), May 2016, Tokyo, Japan

Combinatorial Multi-Armed Bandit with General Reward Functions

MSR Asia Theory Group Seminar, March 2016, Beijing, China

Teaching

Princeton University

Selected Awards