Haipeng Luo

Postdoctoral Researcher
Microsoft Research, New York
Email: haipengl at usc dot edu





I am a postdoctoral researcher at Microsoft Research, New York City. I completed my PhD in the Computer Science Department at Princeton University, where I was fortunate enough to be advised by Rob Schapire and also to work closely with Elad Hazan. I received my bachelor degree at Peking University.

Starting Fall 2017, I will be an assistant professor in the Department of Computer Science at the University of Southern California.

My research interest is in theoretical and applied machine learning, with a focus on

  • online learning, especially on adaptive and robust regret minimization algorithms;
  • advanced boosting algorithms;
  • fast and scalable optimization methods;
  • game theory and its connection to machine learning.


12/2016: Check out our new paper on how to corral a band of bandit algorithms!
12/2016: Just came back from NIPS 2016. Had two posters there.
11/2016: I attended a workshop on learning from easy data.
06/2016: I am attending COLT and ICML in June, and also part of IJCAI in July.
05/2016: I was hooded by my advisor and became a doctor :)
04/2016: I finshed my one-month visit at CWI and had a great time!
02/2016: I am on the job market!