PhD Student
Office 264
Dept of Computer Science
140 Governors Drive
University of Massachusetts
Amherst, MA (USA) 01003


Phone: (615) 945 6618
Email: sameer |{AT}| cs.umass.edu

About

I'm a second year PhD student in Computer Science at UMass Amherst.

I'm working with Andrew McCallum, as part of the Information Extraction and Synthesis Lab (IESL) on various learning and inference techniques for large factor graphs. I've also been working on FACTORIE. Over last summer, I worked on some interesting machine learning problems within Rexa.

Before I started my PhD, I interned for two semesters at Google Pittsburgh, where I got a chance to apply machine learning to some of the biggest data sets available. Before Google, I finished my MS in Computer Science from Vanderbilt in May 2007, where I worked with Doug Fisher and got my Bachelors in Electrical Engineering from NSIT in 2004.

I grew up in New Delhi, India, and graduated from Sardar Patel Vidyalaya in 2000.

Research Interests

Recent Publications

• A. McCallum, K. Schultz, S. Singh
  FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
  Neural Information Processing Systems Conference (NIPS), 2009
  PDF, Outline, Abstract, BibTex

• M. Wick, K. Rohanimesh, S. Singh, A. McCallum
  Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
  Neural Information Processing Systems Conference (NIPS), 2009
  PDF, Outline, Abstract, BibTex

• S. Singh, K. Schultz, A. McCallum
  Bi-directional Joint Inference for Entity Resolution and Segmentation using Imperatively-Defined Factor Graphs
  Machine Learning and Knowledge Discovery in Databases (Lecture Notes in Computer Science) and European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2009
  PDF, Slides, Video, Abstract, BibTex

• S. Singh, J. Kubica, S. Larsen, D. Sorokina
  Parallel Large Scale Feature Selection for Logistic Regression
  SIAM International Conference on Data Mining (SDM), 2009
  PDF, Slides, Abstract, BibTex

• A. McCallum, K. Rohanimanesh, M. Wick, K. Schultz, S. Singh
  FACTORIE: Efficient Probabilistic Programming via Imperative Declarations of Structure, Inference and Learning
  Neural Information Processing Systems Workshop (NIPS), 2008
  PDF, Abstract, BibTex

.. more ..