Sameer Singh

Sameer Singh

PhD Student
Computer Science
University of Massachusetts
Amherst, MA (USA)

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

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, and with Andy Barto, as part of the Autonomous Learning Lab, on using various reinforcement learning techniques for inference on 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
  • Machine Learning
  • Information Extraction
  • Large datasets
  • Artificial Intelligence
  • Reinforcement Learning
  • Scalability

Publications
  • S. Singh, K. Schultz, A. McCallum
    Bi-directional Joint Inference for Entity Resolution and Segmentation using Imperatively-Defined Factor Graphs
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2009
  • 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 ]
  • K. Rohanimanesh, M. Wick, S. Singh, A. McCallum
    MAP inference in Large Factor Graphs with Reinforcement Learning
    University of Massachusetts Amherst, CMPSCI Technical Report, UM-CS-2008-040, 2008
  • 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 ]
  • T. Kichkaylo, C. van Buskirk, S. Singh, H. Neema, M. Orosz, R. Neches
    Mixed-Initiative Planning for Space Exploration Missions
    International Conference on Automated Planning and Scheduling Workshop (ICAPS), 2007
  • S. Singh, J.A. Adams
    Transfer of Learning for Complex Domains: A Demonstration Using Multiple Robots
    International Conference on Robotics & Automation (ICRA), 2006
    [ PDF ]
  • S. Singh
    Finding the shortest path for a mobile robot in an unmapped maze from minimum runs
    Int Conf on CAD, CAM, Robotics & Autonomous Factories (INCARF), 2003
  • S.R. Schach, T.O.S. Adeshiyan, D. Balasubramanian, G. Madl, E.P. Osses, S. Singh,
    K. Suwanmongkol, M. Xie, D.G. Feitelson
    Common Coupling and Pointer Variables, with Application to a Linux Case Study
    Software Quality Journal (SQJ), 2007
    [ PDF ]
  • D.G. Feitelson, T.O.S. Adeshiyan, D. Balasubramanian, Y. Etsion, G. Madl, E.P. Osses,
    S. Singh, K. Suwanmongkol, M. Xie, S.R. Schach
    Fine-Grain Analysis of Common Coupling and its Application to a Linux Case Study
    Journal of Systems and Software (JSS), 2007
    [ PDF ]

Check out my personal website here and academia.edu site here.

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Last Updated :: June 2009