Publications

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L
A. Lansky and Getoor, L., Scope and Abstraction: Two Criteria for Localized Planning, in Proceedings of the International Joint Conference on Arti cial Intelligence, 1995.
A. Lansky, Friedman, M., Getoor, L., Schmidler, S., and Jr., N. Short, The Collage/Khoros Link: Planning for Image Processing Tasks, in Proceedings of the AAAI Spring Symposium on Integrated Planning Applications, 1995.
A. Lansky and Getoor, L., Practical Planning in COLLAGE, in Proceedings of the AAAI Fall Symposium on Planning and Learning: On to Real Applications, 1994.
A. Lansky and Getoor, L., Scope and Abstraction: Two Criteria for Localized Planning, in Proceedings of the Workshop on Theory Reformulation and Abstraction, 1994.
K. Lerman, Getoor, L., Minton, S., and Knoblock, C., Using the Structure of Web Sites for Automatic Segmentation of Tables, in In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data, 2004.PDF icon lerman-sigmod04.pdf (307.43 KB)
L. Licamele and Getoor, L., A method for the detection of meaningful and reproducible group signatures from gene expression profiles., Journal of Bioinformatics and Computational Biology, 2011.
L. Licamele and Getoor, L., Indirect two-sided relative ranking: a robust similarity measure for gene expression data, BMC Bioinformatics, 2010.
L. Licamele and Getoor, L., Predicting Protein-Protein Interactions Using Relational Features, in ICML Workshop on Statistical Network Analysis, 2006.
L. Licamele and Getoor, L., Social Capital in Friendship-Event Networks, in IEEE International Conference on Data Mining (ICDM), 2006.
L. Licamele, Bilgic, M., Getoor, L., and Roussopoulos, N., Capital and Benefit in Social Networks, in ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2005.PDF icon licamele_linkkdd05.pdf (421.14 KB)
B. London, Huang, B., Taskar, B., and Getoor, L., PAC-Bayesian Collective Stability, in Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, 2014.PDF icon london-aistats14.pdf (490.14 KB)
B. London, Khamis, S., Bach, S., Huang, B., Getoor, L., and Davis, L., Collective Activity Detection using Hinge-loss Markov Random Fields, in CVPR Workshop on SPTLE, 2013.PDF icon london-sptle13.pdf (705.87 KB)
B. London and Getoor, L., Collective Classification of Network Data, 1st ed., vol. 1. CRC Press, 2013, p. 399--416.PDF icon london-book13.pdf (394.37 KB)
B. London, Huang, B., Taskar, B., and Getoor, L., Collective Stability in Structured Prediction: Generalization from One Example, in ICML, 2013.PDF icon london-icml13.pdf (373.82 KB)
B. London, Huang, B., and Getoor, L., Graph-based Generalization Bounds for Learning Binary Relations. University of Maryland College Park, 2013.PDF icon br_risk_bounds.pdf (304.54 KB)
B. London, Rekatsinas, T., Huang, B., and Getoor, L., Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss. University of Maryland College Park, 2013.PDF icon mrwtd.pdf (460.45 KB)
B. London, Huang, B., Taskar, B., and Getoor, L., PAC-Bayes Generalization Bounds for Randomized Structured Prediction, in NIP Workshop on Perturbation, Optimization and Statistics, 2013.PDF icon london-nips13ws.pdf (205.57 KB)
B. London, Huang, B., and Getoor, L., Improved Generalization Bounds for Large-scale Structured Prediction, in NIPS Workshop on Algorithmic and Statistical Approaches for Large Social Networks, 2012.PDF icon london-nips12ws.pdf (213.95 KB)
B. London, Rekatsinas, T., Huang, B., and Getoor, L., Multi-relational Weighted Tensor Decomposition, in NIPS Workshop on SL, 2012.PDF icon london-sl12.pdf (326.3 KB)
B. London, On the Stability of Structured Prediction, University of Maryland, 2015.PDF icon blondon-thesis.pdf (1.16 MB)
B. London, Huang, B., and Getoor, L., Stability and Generalization in Structured Prediction, , 2015.PDF icon london-stability15.pdf (532.16 KB)
B. London, Huang, B., and Getoor, L., The Benefits of Learning with Strongly Convex Approximate Inference, in ICML, 2015.PDF icon london-icml15.pdf (788.06 KB)
B. London, Huang, B., and Getoor, L., Stability and Generalization in Structured Prediction, Journal of Machine Learning Research, vol. 17, 2016.PDF icon london-jmlr17.pdf (532.8 KB)
B. London, Huang, B., and Getoor, L., On the Strong Convexity of Variational Inference, in NIPS Workshop on Advances in Variational Inference, 2014.PDF icon london-nips14ws.pdf (253.72 KB)
Q. Lu and Getoor, L., Link-based Classification, in Proceedings of the International Conference on Machine Learning (ICML), 2003.PDF icon lu-icml03.pdf (195.81 KB)
Q. Lu and Getoor, L., Link-based Classification Using Labeled and Unlabeled Data, in ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.PDF icon icml03-ws.pdf (274.65 KB)
Q. Lu and Getoor, L., Link-based Text Classification, in IJCAI Workshop on "Text Mining and Link Analysis", 2003.PDF icon ijcai03-ws.pdf (97.25 KB)
M
A. Memory, Kimmig, A., Bach, S. H., Raschid, L., and Getoor, L., Graph Summarization in Annotated Data Using Probabilistic Soft Logic, in Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), 2012.PDF icon mrc_iswc12_ws.pdf (411.71 KB)
H. Miao, Liu, X., Huang, B., and Getoor, L., A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization, in 2013 IEEE International Conference on Big Data, 2013.PDF icon miao-bd13.pdf (307.51 KB)
L. Mihalkova, Moustafa, W. Eldin, and Getoor, L., Learning to Predict Web Collaborations, in WSDM Workshop on User Modeling for Web Applications, 2011.PDF icon mihalkova-wikiCollabs.pdf (353.9 KB)
L. Mihalkova and Getoor, L., Lifted Graphical Models: A Survey. 2011.PDF icon 1107.4966v2.pdf (446.54 KB)
S. Minton, Michelson, M., See, K., Macskassy, S., Gazen, B. C., and Getoor, L., Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web, in Tenth International Conference on Machine Learning and Applications, 2011.PDF icon minton-icmla2011.pdf (733.09 KB)
W. Eldin Moustafa, Kimmig, A., Deshpande, A., and Getoor, L., Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty, in International Conference on Data Engineering (ICDE), 2014.PDF icon ICDE14_conf_full_374.pdf (1.57 MB)
W. Moustafa, Miao, H., Deshpande, A., and Getoor, L., GrDB: A System for Declarative and Interactive Analysis of Noisy Information Networks, in SIGMOD, 2013.PDF icon moustafa-sigmod13.pdf (1.1 MB)
W. Eldin Moustafa, Deshpande, A., and Getoor, L., Ego-centric Graph Pattern Census, in International Conference on Data Engineering (ICDE), 2012.PDF icon moustafaicde.pdf (2.27 MB)
W. Moustafa, Namata, G., Deshpande, A., and Getoor, L., Declarative Analysis of Noisy Information Networks, in ICDE Workshop on GDM, 2011.PDF icon moustafa-gdm11.pdf (1.55 MB)
S. Muthiah, Huang, B., Arredondo, J., Mares, D., Getoor, L., Katz, G., and Ramakrishnan, N., Capturing Planned Protests from Open Source Indicators, AI Mag, vol. 37, pp. 63–75, 2016.PDF icon muthiah-aimag16.pdf (1.23 MB)

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