Archived Publications (Latest:

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S. H. Bach, Huang, B., and Getoor, L., Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies, in NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning (DISCML), 2014.PDF icon bach-discml14.pdf (254.9 KB)
P. Sen, Deshpande, A., and Getoor, L., Representing Tuple and Attribute Uncertainty in Probabilistic Databases, in Workshop on Data Mining of Uncertain Data (ICDM), 2007.PDF icon dune07.pdf (176.67 KB)
C. Diehl, Namata, G. Mark, and Getoor, L., Relationship Identification for Social Network Discovery, in AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.PDF icon diehl-aaai07.pdf (139.6 KB)
I. Bhattacharya and Getoor, L., Relational Clustering for Multi-type Entity Resolution, in ACM SIGKDD Workshop on Multi Relational Data Mining (MRDM), 2005.PDF icon bhattacharyakdd05-whskp.pdf (259.82 KB)
I. Bhattacharya, Licamele, L., and Getoor, L., Relational Clustering for Entity Resolution Queries, in ICML Workshop on Statistical Relational Learning (SRL), 2006.PDF icon bhattacharyaicml06-wkshp.pdf (195.79 KB)
M. Bilgic and Getoor, L., Reflect and Correct: A Misclassification Prediction Approach to Active Inference, ACM Transactions on Knowledge Discovery from Data, vol. 3, pp. 1–32, 2009.PDF icon bilgic-tkdd09.pdf (3.66 MB)
J. Pujara, London, B., and Getoor, L., Reducing Label Cost by Combining Feature Labels and Crowdsourcing, in ICML Workshop on Combining Learning Strategies to Reduce Label Cost, 2011.PDF icon clsicml_pujara_london.pdf (253.29 KB)
P. Sen, Deshpande, A., and Getoor, L., Read-Once Functions and Query Evaluation in Probabilistic Databases, in International Conference on Very Large Data Bases, 2010.PDF icon draft.pdf (322 KB)
A. Grycner, Weikum, G., Pujara, J., Foulds, J., and Getoor, L., RELLY: Inferring Hypernym Relationships Between Relational Phrases, in Conference on Empirical Methods in Natural Language Processing, 2015.PDF icon agrycner-emnlp15.pdf (234.86 KB)