CIIR publications authored by Khashayar Rohanimanesh


IR-826: (2011) Wick, M.,  Rohanimanesh, K.,  Bellare, K.,  Culotta, A. and McCallum, A., "SampleRank: Training Factor Graphs with Atomic Gradients," Proceecings of the International Conference on Machine Learning (ICML), pp. 777-784. [View Abstract] [View bibtex]

IR-746: (2009) Wick, M.,  Rohanimanesh, K.,  Singh, S. and McCallum, A., "Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference," Neural Information Processing Systems (NIPS), pp. 2044-2052. [View Abstract] [View bibtex]

IR-727: (2008) Rohanimanesh, K.,  Wick, M.,  Singh, S. and McCallum, A., "MAP inference in Large Factor Graphs with Reinforcement Learning," University of Massachusetts Technical Report #UM-CS-2008-040 Amherst, MA. 2008. [View Abstract] [View bibtex]

IR-726: (2009) Rohanimanesh, K.,  Wick, M. and McCallum, A., "Inference and Learning in Large Factor Graphs with Adaptive Proposal Distributions and a Rank-based Objective," CIIR Technical Report, CMPSCI Technical Report UM-CS-2009-008. [View Abstract] [View bibtex]

IR-700: (2009) Wick, M.,  Culotta, A.,  Rohanimanesh, K. and McCallum, A., "An Entity Based Model for Coreference Resolution," SIAM International Conference on Data Mining (SDM), online proceedings only #36. [View Abstract] [View bibtex]

IR-697: (2008) McCallum, A.,  Rohanimanesh, K.,  Wick, M.,  Schultz, K. and Singh, S., "FACTORIE: Efficient Probabilistic Programming via Imperative Declarations of Structure, Inference and Learning," NIPS workshop on Probabilistic Programming, Vancouver, B.C., Canada, 2008. [View Abstract] [View bibtex]

IR-684: (2008) Wick, M.,  Rohanimanesh, K.,  Schultz, K. and McCallum, A., "A Unified Approach for Schema Matching, Coreference and Canonicalization," Proceedings of the 14th ACM SIGKDD international conference on Knowledge Discovery and Data Mining (KDD), Las Vegas, Nevada, pp. 722-730. [View Abstract] [View bibtex]

IR-683: (2008) Wick, M.,  Rohanimanesh, K. and McCallum, A., "A Discriminative Approach to Ontology Alignment," in the electronic Proceedings of the International Workshop on New Trends in Information Integration (NTII) at the conference for Very Large Databases (VLDB), Auckland, New Zealand, 2008. [View Abstract] [View bibtex]

IR-497: (2007) Sutton, C.,  McCallum, A. and Rohanimanesh, K., "Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data.," in the Journal of Machine Learning Research, JMLR 8(Mar):693-723, 2007. [View Abstract] [View bibtex]

IR-348: (2004) Sutton, C.,  Rohanimanesh, K. and McCallum, A., "Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data ," Proceedings of the Twenty-First International Conference on Machine Learning, pp. 783-790. [View Abstract] [View bibtex]