Bert Huang

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Tony JebaraSpotify & Columbia UniversityVerified email at spotify.com
Ben LondonMachine Learning Scientist at AmazonVerified email at amazon.com
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Ansaf Salleb-AouissiColumbia UniversityVerified email at columbia.edu
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Arti RameshAssistant Professor at SUNY BinghamtonVerified email at binghamton.edu
Elaheh RaisiMichigan State UniversityVerified email at vt.edu
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Matthias BroechelerVerified email at matthiasb.com
Blake ShawFacebookVerified email at cs.columbia.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Sirui YaoVirginia TechVerified email at vt.edu
Cynthia RudinProfessor of Computer Science, ECE, and Statistics, Duke UniversityVerified email at cs.duke.edu
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateVerified email at cse.psu.edu
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityVerified email at ldeo.columbia.edu
Haimonti DuttaDepartment of Management Science and Systems, University at Buffalo, New YorkVerified email at buffalo.edu
Roger N. AndersonColumbia UniversityVerified email at ldeo.columbia.edu

Bert Huang

Assistant Professor, Tufts University Department of Computer Science

Verified email at vt.edu - Homepage

Machine learning structured prediction graphical models online harassment detection algorithmic fairness


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Hinge-loss markov random fields and probabilistic soft logic SH Bach, M Broecheler, B Huang, L Getoor Journal of Machine Learning Research 18 (109), 1–67, 2017	317	2017
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor Proceedings of the NIPS Workshop on Probabilistic Programming: Foundations …, 2012	241	2012
Machine learning for the New York City power grid C Rudin, D Waltz, RN Anderson, A Boulanger, A Salleb-Aouissi, M Chow, ... IEEE transactions on pattern analysis and machine intelligence 34 (2), 328-345, 2011	231	2011
'Beating the news' with EMBERS: Forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	213	2014
Semantic model vectors for complex video event recognition M Merler, B Huang, L Xie, G Hua, A Natsev IEEE Transactions on Multimedia 14 (1), 88-101, 2011	165	2011
Modeling learner engagement in MOOCs using probabilistic soft logic A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor NIPS workshop on data driven education 21, 62, 2013	158	2013
Beyond Parity: Fairness Objectives for Collaborative Filtering S Yao, B Huang Advances in Neural Information Processing Systems, 2017	134	2017
Loopy belief propagation for bipartite maximum weight b-matching B Huang, T Jebara Artificial Intelligence and Statistics (AISTATS), 195--202, 2007	130	2007
Hinge-loss Markov random fields: Convex inference for structured prediction SH Bach, B Huang, B London, L Getoor Uncertainty in Artificial Intelligence 1, 2, 2013	128	2013
Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	118	2014
Joint models of disagreement and stance in online debate D Sridhar, J Foulds, B Huang, L Getoor, M Walker Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	117	2015
Query-driven active surveying for collective classification G Namata, B London, L Getoor, B Huang, UMD EDU 10th International Workshop on Mining and Learning with Graphs 8, 2012	112	2012
Learning a Distance Metric from a Network. B Shaw, B Huang, T Jebara Advances in Neural Information Processing Systems, 1899-1907, 2011	97	2011
Network-based drug-target interaction prediction with probabilistic soft logic S Fakhraei, B Huang, L Raschid, L Getoor IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (5 …, 2014	85	2014
Understanding MOOC discussion forums using seeded LDA A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor Proceedings of the ninth workshop on innovative use of NLP for building …, 2014	84	2014
Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016	79	2016
Planned Protest Modeling in News and Social Media S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ... Conference on Innovative Applications of Artificial Intelligence (IAAI-15), 2015	63	2015
A flexible framework for probabilistic models of social trust B Huang, A Kimmig, L Getoor, J Golbeck International conference on social computing, behavioral-cultural modeling …, 2013	61	2013
Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014	56	2014
Fast b-Matching via Sufficient Selection Belief Propagation B Huang, T Jebara International Conference on Artificial Intelligence and Statistics, 2011	52	2011

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