Guy Lebanon

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Seungyeon KimGoogle ResearchVerified email at google.com
Joonseok LeeGoogle Research, Seoul National UniversityVerified email at google.com
Yi MaoMicrosoftVerified email at microsoft.com
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
Mingxuan SunAssociate Professor, Louisiana State UniversityVerified email at csc.lsu.edu
Fuxin LiOregon State UniversityVerified email at oregonstate.edu
Mohamed El-GeishMonta AIVerified email at monta.ai
Paul KidwellVerified email at roofstock.com
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Cristian SminchisescuScientist at Google DeepMind; Professor, Lund UniversityVerified email at math.lth.se
Elisa BertinoProfessor of Computer Science, Purdue UniversityVerified email at purdue.edu
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelVerified email at cs.technion.ac.il
Kevyn Collins-ThompsonAssociate Professor, University of MichiganVerified email at acm.org
Gaspar Modelo-HowardData Scientist (Security), Palo Alto NetworksVerified email at acm.org
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & NSF CHORUS; PurdueVerified email at purdue.edu
Pannaga ShivaswamyNetflix IncVerified email at netflix.com
João CarreiraGoogle DeepMindVerified email at google.com
Qi HeAmazonVerified email at amazon.com
Ke ZhouTwitter Inc.Verified email at gatech.edu

Guy Lebanon

Director at Google

Verified email at google.com - Homepage

AI and Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Diffusion kernels on statistical manifolds JD Lafferty, G Lebanon Journal of Machine Learning Research 6, 2005	339	2005
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013	268	2013
Cranking: Combining rankings using conditional probability models on permutations G Lebanon, J Lafferty Proc. of the 19th International Conference on Machine Learning (ICML), 2002	246	2002
Boosting and maximum likelihood for exponential models G Lebanon, JD Lafferty Advances in neural information processing systems, 447-454, 2002	235	2002
A comparative study of collaborative filtering algorithms J Lee, M Sun, G Lebanon arXiv preprint arXiv:1205.3193, 2012	222	2012
Isotonic conditional random fields and local sentiment flow Y Mao, G Lebanon Advances in neural information processing systems (NIPS), 961-968, 2007	173	2007
Metric learning for text documents G Lebanon IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 497-508, 2006	170	2006
Local collaborative ranking J Lee, S Bengio, S Kim, G Lebanon, Y Singer Proceedings of the 23rd international conference on World wide web, 85-96, 2014	160	2014
Non-parametric Modeling of Partially Ranked Data G Lebanon, Y Mao Journal of Machine Learning Research 9 (Oct), 2401-2429, 2008	151	2008
LLORMA: Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer, S Bengio Journal of Machine Learning Research 17 (15), 1-24, 2016	125	2016
The Landmark Selection Method for Multiple Output Prediction K Balasubramanian, G Lebanon Proc. of the 29th International Conference on Machine Learning (ICML) 2012, 2012	122	2012
Learning multiple-question decision trees for cold-start recommendation M Sun, F Li, J Lee, K Zhou, G Lebanon, H Zha Proceedings of the sixth ACM international conference on Web search and data …, 2013	115	2013
The Locally Weighted Bag of Words Framework for Document Representation. G Lebanon, Y Mao, J Dillon Journal of Machine Learning Research 8 (10), 2007	99	2007
Riemannian geometry and statistical machine learning G Lebanon Carnegie Mellon University, 2005	87	2005
Information diffusion kernels G Lebanon, JD Lafferty Advances in Neural Information Processing Systems, 391-398, 2003	85	2003
Visualizing incomplete and partially ranked data P Kidwell, G Lebanon, WS Cleveland IEEE Transactions on Visualization and Computer Graphics 14 (6), 1356-1363, 2008	82	2008
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels P Donmez, G Lebanon, K Balasubramanian Journal of Machine Learning Research 11, 1323-1351, 2010	79	2010
Prea: Personalized recommendation algorithms toolkit J Lee, M Sun, G Lebanon The Journal of Machine Learning Research 13 (Jan), 2699-2703, 2012	69	2012
Determining placement of intrusion detectors for a distributed application through bayesian network modeling G Modelo-Howard, S Bagchi, G Lebanon Recent Advances in Intrusion Detection, 271-290, 2008	66	2008
Learning riemannian metrics G Lebanon Uncertainty in Artificial Intelligence, 362-369, 2002	61*	2002

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