Publications

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Author Title [ Year(Desc)]
Filters: Author is Pujara, Jay  [Clear All Filters]
2010
J. Pujara and Getoor, L., Coarse-to-Fine, Cost-Sensitive Classification of E-Mail, in NIPS Workshop on Coarse-to-Fine Processing, 2010.PDF icon pujara_nips10.pdf (258.86 KB)
2011
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)
J. Pujara, III, H. Daume, and Getoor, L., Using Classifier Cascades for Scalable E-Mail Classification, in Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, 2011.PDF icon pujara_ceas2011_camera.pdf (308.42 KB)
2014
J. Pujara and Getoor, L., Building Dynamic Knowledge Graphs, in NIPS Workshop on Automated Knowledge Base Construction, 2014.PDF icon pujara_akbc14.pdf (143.26 KB)
2017
P. Kouki, Pujara, J., Marcum, C., Koehly, L., and Getoor, L., Collective Entity Resolution in Familial Networks, in IEEE International Conference on Data Mining (ICDM), 2017.PDF icon kouki-icdm17.pdf (653.4 KB)
S. Tomkins, Pujara, J., and Getoor, L., Disambiguating Energy Disaggregation: A Collective Probabilistic Approach, in International Joint Conference on Artifi cial Intelligence, 2017.PDF icon tomkins-ijcai17.pdf (373.28 KB)
S. Kim, Kini, N., Pujara, J., Koh, E., and Getoor, L., Probabilistic Visitor Stitching on Cross-Device Web Logs, in International Conference on World Wide Web (WWW), 2017, pp. 1581–1589.PDF icon p1581-kimwww17.pdf (1.23 MB)
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)
P. Kouki, Schaffer, J., Pujara, J., ODonovan, J., and Getoor, L., User Preferences for Hybrid Explanations, in 11th ACM Conference on Recommender Systems (RecSys), 2017.PDF icon kouki-recsys17.pdf (2.64 MB)
D. Sridhar, Pujara, J., and Getoor, L., Using Noisy Extractions to Discover Causal Knowledge, in NIPS Workshop on Automated Knowledge Base Construction, 2017.PDF icon sridhar-akbc17.pdf (203.34 KB)
2018
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)