# Research

## Interests

I am interested in just about any machine learning problem that is somewhat theoretical in nature. While I find probability and statistics fascinating in their own right, my research thus far has focused on applying tools and methods from these fields to get a better understanding of what we can guarantee about machine learning algorithms.

## Current Projects

Currently I am working on algorithms for active and semi-supervised learning.

## Publications

### Conference and Journal Papers

• Efficient Semi-supervised and Active Learning of Disjunctions (with Maria-Florina Balcan, Steven Ehrlich, and Yingyu Liang). ICML 2013. [pdf] [supp]

### Workshop Contributions

• On Learning Linear Separators with Large $$L_\infty L_1$$ Margins (with Maria-Florina Balcan). NIPS 2013 Workshop on Learning Faster from Easy Data. [poster]