Publications

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Author Title [ Year(Desc)]
2019
Kimmig, A., Memory, A., Miller, R. J. & Getoor, L. A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence. IEEE Transactions on Knowledge and Data Engineering 31, 1426-1439 (2019).PDF icon kimming-tkde19.pdf (713.64 KB)
Farnadi, G., Babaki, B. & Getoor, L. A Declarative Approach to Fairness in Relational Domains. Data Engineering 36 (2019).PDF icon farnadi-de19.pdf (365.14 KB)
Embar, V., Pujara, J. & Getoor, L. Collective Alignment of Large-scale Ontologies. AKBC Workshop on Federated KBs and the Open Knowledge Network (2019).PDF icon embar-akbc19.pdf (57.36 KB)
Sridhar, D. & Getoor, L. Estimating Causal Effects of Tone in Online Debates. International Joint Conference on Artificial Intelligence (2019).PDF icon sridhar-ijcai19.pdf (220.49 KB)
Srinivasan, S., Rao, N. S., Subbaian, K. & Getoor, L. Identifying Facet Mismatches In Search Via Micrographs. The 28th ACM International Conference on Information and Knowledge Management (2019).
Ramesh, A., Goldwasser, D., Huang, B., Daume-III, H. & Getoor, L. Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields. Transactions on Learning Technologies (2019).PDF icon ramesh-tlt19.pdf (4.3 MB)
Srinivasan, S., Babaki, B., Farnadi, G. & Getoor, L. Lifted Hinge-Loss Markov Random Fields. 33rd AAAI Conference on Artificial Intelligence (2019).PDF icon srinivasan-aaai19.pdf (417.5 KB)
Kouki, P., Schaffer, J., Pujara, J., ODonovan, J. & Getoor, L. Personalized Explanations for Hybrid Recommender Systems. Intelligent User Interfaces (2019).PDF icon kouki-iui19.pdf (3.34 MB)
Embar, V., Srinivasan, S. & Getoor, L. Tractable Marginal Inference for Hinge-Loss Markov Random Fields. Third ICML workshop on Tractable Probabilistic Modeling (2019).PDF icon embar-icmlws19.pdf (410.24 KB)
Augustine, E., Rekatsinas, T. & Getoor, L. Tractable Probabilistic Reasoning Through Effective Grounding. Third ICML workshop on Tractable Probabilistic Modeling (2019).PDF icon augustine-tpm19.pdf (224.8 KB)

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