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, Educational Testing Services (ETS) AI LabsVerified email at ets.org
Elaheh RaisiLinkedInVerified email at vt.edu
Sirui YaoVirginia TechVerified email at vt.edu
Chidubem ArachieVirginia TechVerified email at vt.edu
Matthias BroechelerVerified email at matthiasb.com
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
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	440	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	358	2012
Beyond Parity: Fairness Objectives for Collaborative Filtering S Yao, B Huang Advances in Neural Information Processing Systems, 2017	330	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	312	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	300	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	275	2014
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	200	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	171	2011
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	152	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	150	2015
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	142	2013
Loopy belief propagation for bipartite maximum weight b-matching B Huang, T Jebara Artificial Intelligence and Statistics (AISTATS), 195--202, 2007	133	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	116	2014
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	110	2014
Learning a Distance Metric from a Network. B Shaw, B Huang, T Jebara Advances in Neural Information Processing Systems, 1899-1907, 2011	103	2011
Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016	90	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	86	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	80	2014
Cyberbullying Detection with Weakly Supervised Machine Learning E Raisi, B Huang IEEE/ACM International Conference on Advances in Social Network Analysis and …, 2017	75	2017
A flexible framework for probabilistic models of social trust B Huang, A Kimmig, L Getoor, J Golbeck Social Computing, Behavioral-Cultural Modeling and Prediction: 6th …, 2013	65	2013

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