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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)
D. Sridhar, Foulds, J., Walker, M., Huang, B., and Getoor, L., Joint Models of Disagreement and Stance in Online Debate, in Annual Meeting of the Association for Computational Linguistics (ACL), 2015.PDF icon sridhar-acl15.pdf (227.14 KB)
S. H. Bach, Huang, B., and Getoor, L., Large-margin Structured Learning for Link Ranking, in NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications, 2013.PDF icon bach-fna13.pdf (210.09 KB)
A. Ramesh, Goldwasser, D., Huang, B., III, H. Daume, and Getoor, L., Learning Latent Engagement Patterns of Students in Online Courses, in Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014.PDF icon ramesh-aaai14.pdf (505.47 KB)
S. H. Bach, Huang, B., and Getoor, L., Learning Latent Groups with Hinge-loss Markov Random Fields, in ICML Workshop on Inferning: Interactions between Inference and Learning, 2013.PDF icon bach-inferning13.pdf (348.79 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., 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)
S. H. Bach, Huang, B., Boyd-Graber, J., and Getoor, L., Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs, in International Conference on Machine Learning (ICML), 2015.PDF icon bach-icml15.pdf (356.46 KB)
S. H. Bach, Huang, B., and Getoor, L., Probabilistic Soft Logic for Social Good, in KDD Workshop on Data Science for Social Good, 2014.PDF icon bach-dssg14.pdf (124.88 KB)
S. H. Bach, Huang, B., and Getoor, L., Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies, in NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning (DISCML), 2014.PDF icon bach-discml14.pdf (254.9 KB)
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