Guy Lebanon

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Joonseok LeeGoogle Research, Seoul National UniversityEmail verificata su google.com
Yi MaoMicrosoftEmail verificata su microsoft.com
Krishnakumar BalasubramanianUniversity of California, DavisEmail verificata su ucdavis.edu
Mingxuan SunAssociate Professor, Louisiana State UniversityEmail verificata su csc.lsu.edu
Fuxin LiOregon State UniversityEmail verificata su oregonstate.edu
Mohamed El-GeishMonta AIEmail verificata su monta.ai
Paul KidwellEmail verificata su roofstock.com
Haesun ParkRegents' Professor of Computational Science and Engineering, Georgia Institute of TechnologyEmail verificata su cc.gatech.edu
Cristian SminchisescuScientist at Google DeepMind; Professor, Romanian Academy, Lund UniversityEmail verificata su math.lth.se
Elisa BertinoProfessor of Computer Science, Purdue UniversityEmail verificata su purdue.edu
Samy BengioSenior Director, AI and ML Research, AppleEmail verificata su apple.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelEmail verificata su cs.technion.ac.il
Kevyn Collins-ThompsonAssociate Professor, University of MichiganEmail verificata su acm.org
Gaspar Modelo-HowardData Scientist (Security), Palo Alto NetworksEmail verificata su acm.org
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & NSF CHORUS; PurdueEmail verificata su purdue.edu
Qi HeAmazonEmail verificata su amazon.com
Pannaga ShivaswamyNetflix IncEmail verificata su netflix.com
João CarreiraGoogle DeepMindEmail verificata su google.com
Ke ZhouTwitter Inc.Email verificata su gatech.edu
Irfan EssaDistinguished Professor of Computing, Georgia Tech / Research Scientist, GoogleEmail verificata su gatech.edu

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Guy Lebanon

Director at Google

Email verificata su google.com - Home page

AI and Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Diffusion kernels on statistical manifolds JD Lafferty, G Lebanon Journal of Machine Learning Research 6, 2005	345	2005
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013	264	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	250	2002
Boosting and maximum likelihood for exponential models G Lebanon, JD Lafferty Advances in neural information processing systems, 447-454, 2002	236	2002
A comparative study of collaborative filtering algorithms J Lee, M Sun, G Lebanon arXiv preprint arXiv:1205.3193, 2012	224	2012
Metric learning for text documents G Lebanon IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 497-508, 2006	174	2006
Isotonic conditional random fields and local sentiment flow Y Mao, G Lebanon Advances in neural information processing systems (NIPS), 961-968, 2007	171	2007
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	159	2014
Non-parametric Modeling of Partially Ranked Data G Lebanon, Y Mao Journal of Machine Learning Research 9 (Oct), 2401-2429, 2008	149	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	127	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	126	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	117	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
Information diffusion kernels G Lebanon, JD Lafferty Advances in Neural Information Processing Systems, 391-398, 2003	90	2003
Riemannian geometry and statistical machine learning G Lebanon Carnegie Mellon University, 2005	88	2005
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	82	2010
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
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	64	2008
Learning riemannian metrics G Lebanon Uncertainty in Artificial Intelligence, 362-369, 2002	61*	2002

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