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

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Author [ Title(Desc)] Year
Filters: Author is Bert Huang  [Clear All Filters]
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A
B. Huang, Kimmig, A., Getoor, L., and Golbeck, J., “A Flexible Framework for Probabilistic Models of Social Trust”, in SBP, 2013.PDF icon huang-sbp13.pdf (247.2 KB)
A. Kimmig, Bach, S., Broecheler, M., Huang, B., and Getoor, L., “A Short Introduction to Probabilistic Soft Logic”, in NIPS Workshop on PPFA, 2012.PDF icon kimming-ppfa12.pdf (164.6 KB)
C
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)
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)
S. Fakhraei, Huang, B., and Getoor, L., “Collective Inference and Multi-Relational Learning for Drug–Target Interaction Prediction”, in NIPS Workshop on MLCB, 2013.PDF icon fakhraei-mlcb13.pdf (243.86 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)
E
B. Huang, London, B., Taskar, B., and Getoor, L., “Empirical Analysis of Collective Stability”, in ICML Workshop on SLG, 2013.PDF icon huang-slg13.pdf (237.81 KB)
I
A. Ramesh, Goldwasser, D., Huang, B., Daume, III, H., and Getoor, L., “Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields”, IEEE Transactions on Learning Technologies (TLT), vol. 14, pp. 1-1, 2019.PDF icon ramesh-tlt19.pdf (4.3 MB)
M
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)
P
B. Huang, Kimmig, A., Getoor, L., and Golbeck, J., “Probabilistic Soft Logic for Trust Analysis in Social Networks”, in UAI Workshop on StaRAI , 2012.PDF icon huang-starai12.pdf (241.96 KB)
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G. Namata, London, B., Getoor, L., and Huang, B., “Query-driven Active Surveying for Collective Classification”, in ICML Workshop on MLG, 2012.PDF icon namata-mlg12.pdf (257.49 KB)
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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)
T
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)
U
A. Ramesh, Goldwasser, D., Huang, B., Daume, III, H., and Getoor, L., “Understanding MOOC Discussion Forums using Seeded LDA”, in ACL Workshop on Innovative Use of NLP for Building Educational Applications, 2014.PDF icon ramesh-aclws14.pdf (137.57 KB)