2011 Poster Sessions : Message Passing for Matrix Factorization

Student Name : Raghunandan Hulikal Keshavan
Advisor : Andrea Montanari
Research Areas: Information Systems
In this work, we propose efficient algorithms (based on message passing) for matrix factorization. The problem of matrix factorization has applications in a wide variety of fields including sensor localization, collaborative filtering etc. We demonstrate the usefulness of the algorithm both analytical and empirically on real datasets.

Raghunandan is a PhD candidate in the Electrical Engineering Dept. He works with Prof. Andrea Montanari in the area of Collaborative filtering. He received his Master's degree from the EE dept. in Jan 2009. He received his B.Tech degree from the Indian Institute of Technology, Madras in August 2007.