Xiao (Victor) Pu

Industrial Experiences

In summer 2015, I was interning at Teradata Lab, where I implemented the famous machine learning algorithm, AdaBoost, on Teradata Aster's SQL-MapReduce system with Java.

In summer 2016, I was interning at Yahoo! Advertising and working with their data science team. Built a new CTR prediction model using Vowpal-Wabbit with distributed training on large advertising datasets. Improved AUC by more than 15% and increased the CTR by more than 20%.

Back to top

Research Interests

My master's research at University of Minnesota was about developing compression algorithms for quantum field theoretic calculations.

Currently，I'm working on various topics in statistical machine learning. I'm particularly excited about sparse principle component analysis(SPCA), and feature selection in high-dimensional regression, classification and clustering.

See here for my publications.

Back to top

Biography

Prior to starting my PhD study in Statistics at UCSD Math Department, I obtained a M.S. degree (2013) in Physics at University of Minnesota with Professor John R. Hiller and a Bachelor's (2011) degree in Engineering at Shanghai Jiao Tong University.

Back to top

Contact

Office: APM 6446
Email:

Back to top