- Iterative Hard Thresholding for Sparse/Low-rank Linear Regression [PDF]
INRIA, France, 2015
- Iterative Hard Thresholding for Robust Regression
- Provable Alternating Minimization Methods for Non-convex Optimization [PDF]
IISC Bangalore, January 2014
In this work, we explore theoretical properties of simple non-convex optimization methods for problems that feature prominently in several important areas such as recommendation systems, compressive sensing, computer vision etc.
- Non-convex Optimization for Machine Learning
Foundations and Trends in Machine Learning, Official Site, Arxiv