Parag Singla

email : parag [at] cs [dot] washington [dot] edu

I am a graduate student in the Computer Science & Engineering Department at the University of Washington. My research interests lie in the areas of machine learning, data mining, satisfiability testing & social networks analysis. My PhD advisor is professor Pedro Domingos. My research focuses around representation, learning, inference and applications of Markov Logic, which is one of the most powerful statistical relational models. Currently, I am working on the problem of designing lifted probabilistic inference techniques for Markov logic. I am planning to graduate in Summer 2008.

Publications

Lifted First-Order Belief Propagation. Parag Singla and Pedro Domingos. Twenty-Third National Conference on Artificial Intelligence, 2008. Chicago, IL. To appear.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic. Parag Singla, Henry Kautz, Jiebo Luo and Andrew Gallagher. CVPR Workshop on Semantic Learning and Applications in Multimedia, 2008. Anchorage, Alaska. To appear.

Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web. Parag Singla and Matthew Richardson. Seventeenth International Conference on World Wide Web, 2008. Beijing, China. To appear.

Markov Logic. Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson and Parag Singla. In L. De Raedt, P. Frasconi, K. Kersting and S. Muggleton (eds.), Probabilistic Inductive Logic Programming. New York: Springer. To appear.

Markov Logic in Infinite Domains. Parag Singla and Pedro Domingos. Twenty Third Conference on Uncertainty in Artificial Intelligence, 2007 (pp 368-375). Vancouver, Canada: AUAI Press.

Entity Resolution with Markov Logic. Parag Singla and Pedro Domingos. Sixth International Conference on Data Mining (pp. 572-582), 2006. Hong Kong: IEEE Computer Society Press.

Memory-Efficient Inference in Relational Domains. Parag Singla and Pedro Domingos. Twenty-First National Conference on Artificial Intelligence (pp. 488 - 493), 2006. Boston, MA: AAAI Press.

Unifying Logical and Statistical AI. Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson and Parag Singla. Twenty-First National Conference on Artificial Intelligence (pp. 2 - 7), 2006. Boston, MA: AAAI Press.

Discriminative Training of Markov Logic Networks. Parag Singla and Pedro Domingos. Twentieth National Conference on Artificial Intelligence (pp. 868 - 873), 2005. Pittsburgh, PA: AAAI Press.

Object Identification with Attribute-Mediated Dependences. Parag Singla and Pedro Domingos. Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases (pp. 297 - 308), 2005. Porto, Portugal: Springer. Winner of the Best Paper award.

Multi-Relational Record Linkage. Parag and Pedro Domingos. KDD Workshop on Multi-Relational Data Mining (pp. 31-48), 2004. Seattle, CA: ACM Press

User Interaction in the BANKS System. B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind Hulgeri, Hrishikesh Karambelkar, Rupesh Nasre, Parag and S. Sudarshan. ICDE 2003: 786-788

BANKS: Browsing and Keyword Searching in Relational Databases. B. Aditya, Gaurav Bhalotia, Soumen Chakrabarti, Arvind Hulgeri, Charuta Nakhe, Parag and S. Sudarshan. VLDB 2002: 1083-10

Patents Filed

Discovering Social Relationships from Personal Photo Collections. Jiebo Luo, Parag Singla, Henry Kautz and Andrew Gallagher. Eastman Kodak Company, 2008.

Using Joint Communication and Search Data. Matthew Richardson and Parag Singla. Microsoft Corporation, 2007.

Software

Alchemy: A system for statistical relational learning and inference, based on Markov logic representation.