I am currently a PhD student with Prof. Padhraic Smyth. I spent the last summer working at Microsoft Live Labs. I received my bachelors degree in Computer Science and Engineering from IIIT, Hyderabad, India.
Research Interests
Probabilistic Topic Models, Text Mining, Machine Learning, Information Retrieval
Publications
Combining Concept Hierarchies and Statistical Topic Models [pdf]
Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. Conference on Information and Knowledge Management (CIKM), 2008.
Text Modeling using Unsupervised Topic Models and Concept Hierarchies [pdf|url]
Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. ArXiv Technical Report, 2008.
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning [pdf]
Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, and Mark Steyvers. International Semantic Web Conference (ISWC), 2008.
Deterministic latent variable models and their pitfalls [pdf]
[Update 4/15/08: fixed typos in Equations 3.17 and 3.22]
Max Welling, Chaitanya Chemudugunta, and Nathan Sutter. SIAM International Conference on Data Mining (SIAM SDM), 2008.
Subject metadata enrichment using statistical topic models [pdf]
David Newman, Kat Hagedorn, Chaitanya Chemudugunta, and Padhraic Smyth. Joint Conference on Digital Libraries (JDCL), 2007.
Modeling general and specific aspects of documents with a probabilistic topic model [pdf]
Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. In: Advances in Neural Information Processing Systems (NIPS), 2007.
David Newman, Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. Proceedings of the 12th ACM SIGKDD Conference (KDD), 2006.
Analyzing Entities and Topics in News Articles Using Statistical Topic Models [pdf]
David Newman, Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. IEEE International Conference on Intelligence and Security Informatics, Springer Lecture Notes in Computer Science (ISI-LNCS), 2006.
