Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

Export 23 results:
Author [ Title(Desc)] Year
Filters: First Letter Of Title is S and Author is Lise Getoor  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
D. Sridhar, Pujara, J., and Getoor, L., Scalable Probabilistic Causal Structure Discovery, in International Joint Conference on Artificial Intelligence (IJCAI), 2018.PDF icon sridhar-ijcai18.pdf (281.32 KB)
V. Embar, Sridhar, D., Farnadi, G., and Getoor, L., Scalable Structure Learning for Probabilistic Soft Logic, in IJCAI Workshop on Statistical Relational AI (StarAI), 2018.PDF icon embar-starai18.pdf (400.23 KB)
S. Bach, Broecheler, M., Getoor, L., and O'Leary, D., Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization, in NeuRIPS, 2012.PDF icon bach-nips12.pdf (274.58 KB)
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 and Getoor, L., Scope and Abstraction: Two Criteria for Localized Planning, in Proceedings of the Workshop on Theory Reformulation and Abstraction, 1994.
L. Getoor, Koller, D., and Taskar, B., Selectivity estimation using probabilistic relational models, in Proceedings of ACM-SIGMOD 2001 International Conference on Management of Data, 2001.PDF icon sigmod01.pdf (471.72 KB)
L. Licamele and Getoor, L., Social Capital in Friendship-Event Networks, in IEEE International Conference on Data Mining (ICDM), 2006.
H. Bert, Stephen, B., Eric, N., Jay, P., and Getoor, L., Social Group Modeling with Probabilistic Soft Logic, in NeuRIPS Workshop on SNSMA, 2012.PDF icon huang-snsma12.pdf (1.02 MB)
G. Farnadi, Bach, S. H., Moens, M. - F., Getoor, L., and De Cock, M., Soft quantification in statistical relational learning, Machine Learning Journal, 2017.PDF icon farnadi-mlj17.pdf (1.24 MB)
T. Rekatsinas, Ghosh, S., Mekaru, S., Nsoesie, E., Brownstein, J., Getoor, L., and Ramakrishnan, N., SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources, in 2015 SIAM International Conference on Data Mining (SDM15), 2015.PDF icon rekatsinasSDM2015.pdf (303.08 KB)
T. Rekatsinas, Deshpande, A., Dong, L., Getoor, L., and Srivastava, D., SourceSight: Enabling Effective Source Selection, in SIGMOD, 2016.PDF icon rekatsinas-sigmod16.pdf (799.94 KB)
J. Pujara, Augustine, E., and Getoor, L., Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short, in Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.PDF icon pujara-emnlp17.pdf (677.74 KB)
R. Islamaj, Getoor, L., W. Wilbur, J., and Mount, S., SplicePort - An interactive splice-site analysis tool, Nucleic Acids Research, 2007.PDF icon dogan-nar.pdf (1.34 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., Stability and Generalization in Structured Prediction, Journal of Machine Learning Research, vol. 17, 2016.PDF icon london-jmlr17.pdf (532.8 KB)
S. Hossam, Lisa, S., Getoor, L., and Janet, M., Stability vs. Diversity: Understanding the Dynamics of Actors in Time-varying Affiliation Networks, in ICSI, 2012.PDF icon sharara-icsi12.pdf (307.98 KB)
G. Farnadi, Bach, S. H., Blondeel, M., Moens, M. - F., Getoor, L., and De Cock, M., Statistical Relational Learning with Soft Quantifiers, in International Conference on Inductive Logic Programming (ILP), 2015.PDF icon farnadi-ilp15.pdf (578.43 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)
L. Getoor, Structure Discovery Using Statistical Relational Learning, Data Engineering Bulletin, vol. 26, p. 11- -18, 2003.
T. Dietterich, Domingos, P., Getoor, L., Muggleton, S., and Tadepalli, P., Structured machine learning: the next ten years, Machine Learning, vol. 73, pp. 3–23, 2008.
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)
S. Somasundaran, Namata, G. Mark, Wiebe, J., and Getoor, L., Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification, in Conference on Empirical Methods in Natural Language Processing, 2009.PDF icon somasundaran-emnlp09.pdf (390.93 KB)
S. Tomkins, Isley, S., London, B., and Getoor, L., Sustainability at Scale: Bridging the Intention-Behavior Gap with Sustainable Recommendations, in Recommender Systems (RecSys), 2018.PDF icon tomkins-recsys18.pdf (655.92 KB)