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
Joshua V. DillonGoogleVerified email at google.com
Paul KidwellVerified email at roofstock.com
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Mohamed El-GeishAmazonVerified email at amazon.com
Cristian SminchisescuProfessor, Lund University; Scientist at Google ResearchVerified 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
João CarreiraGoogle DeepMindVerified email at google.com
Gaspar Modelo-HowardData Scientist (Security), Palo Alto NetworksVerified email at acm.org
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & CRISP; Purdue UniversityVerified email at purdue.edu
Pannaga ShivaswamyNetflix IncVerified email at netflix.com
Qi HeNextdoorVerified email at nextdoor.com

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	320	2005
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013	243	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	240	2002
Boosting and maximum likelihood for exponential models G Lebanon, JD Lafferty Advances in neural information processing systems, 447-454, 2002	226	2002
A comparative study of collaborative filtering algorithms J Lee, M Sun, G Lebanon arXiv preprint arXiv:1205.3193, 2012	209	2012
Isotonic conditional random fields and local sentiment flow Y Mao, G Lebanon Advances in neural information processing systems (NIPS), 961-968, 2007	167	2007
Metric learning for text documents G Lebanon IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 497-508, 2006	165	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	157	2014
Non-parametric Modeling of Partially Ranked Data G Lebanon, Y Mao Journal of Machine Learning Research 9 (Oct), 2401-2429, 2008	144	2008
The Landmark Selection Method for Multiple Output Prediction K Balasubramanian, G Lebanon Proc. of the 29th International Conference on Machine Learning (ICML) 2012, 2012	115	2012
Llorma: Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer, S Bengio	113	2016
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	113	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	95	2007
Riemannian geometry and statistical machine learning G Lebanon Carnegie Mellon University, 2005	85	2005
Visualizing incomplete and partially ranked data P Kidwell, G Lebanon, WS Cleveland IEEE Transactions on Visualization and Computer Graphics 14 (6), 1356-1363, 2008	83	2008
Information Diffusion Kernels J Lafferty, G Lebanon Advances in neural information processing systems (NIPS) 15, 2002	76	2002
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	73	2010
Prea: Personalized recommendation algorithms toolkit J Lee, M Sun, G Lebanon The Journal of Machine Learning Research 13 (Jan), 2699-2703, 2012	65	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	58	2008
Learning riemannian metrics G Lebanon Uncertainty in Artificial Intelligence, 362-369, 2002	57*	2002

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