Bert Huang

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Ben LondonSr. ML Scientist at AmazonVerified email at amazon.com
Tony JebaraSpotifyVerified email at spotify.com
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Ansaf Salleb-AouissiColumbia University Computer Science DepartmentVerified 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 RameshSenior Research Scientist, AI Labs, Educational Testing ServicesVerified email at ets.org
Elaheh RaisiLinkedInVerified email at vt.edu
Sirui YaoVirginia TechVerified email at vt.edu
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
Chidubem ArachieVirginia TechVerified email at vt.edu
Matthias BroechelerVerified email at matthiasb.com
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Blake ShawFacebookVerified email at cs.columbia.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, 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

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	380	2017
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	269	2011
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	260	2012
'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	255	2014
Beyond Parity: Fairness Objectives for Collaborative Filtering S Yao, B Huang Advances in Neural Information Processing Systems, 2017	240	2017
Query-driven active surveying for collective classification G Namata, B London, L Getoor, B Huang, U Edu 10th International Workshop on Mining and Learning with Graphs 8, 1, 2012	212	2012
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	182	2013
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	168	2011
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	138	2013
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	135	2015
Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Twenty-eighth AAAI conference on artificial intelligence, 2014	134	2014
Loopy belief propagation for bipartite maximum weight b-matching B Huang, T Jebara Artificial Intelligence and Statistics (AISTATS), 195--202, 2007	129	2007
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	100	2014
Learning a Distance Metric from a Network. B Shaw, B Huang, T Jebara Advances in Neural Information Processing Systems, 1899-1907, 2011	99	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	97	2014
Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016	85	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	73	2015
Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014	70	2014
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	62	2013
Cyberbullying Detection with Weakly Supervised Machine Learning E Raisi, B Huang IEEE/ACM International Conference on Advances in Social Network Analysis and …, 2017	61	2017

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