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Guy Lebanon
Guy Lebanon
Director at Google
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Title
Cited by
Cited by
Year
Diffusion kernels on statistical manifolds
JD Lafferty, G Lebanon
Journal of Machine Learning Research 6, 2005
3422005
Local low-rank matrix approximation
J Lee, S Kim, G Lebanon, Y Singer
International conference on machine learning, 82-90, 2013
2682013
Cranking: Combining rankings using conditional probability models on permutations
G Lebanon, J Lafferty
Proc. of the 19th International Conference on Machine Learning (ICML), 2002
2472002
Boosting and maximum likelihood for exponential models
G Lebanon, JD Lafferty
Advances in neural information processing systems, 447-454, 2002
2362002
A comparative study of collaborative filtering algorithms
J Lee, M Sun, G Lebanon
arXiv preprint arXiv:1205.3193, 2012
2242012
Isotonic conditional random fields and local sentiment flow
Y Mao, G Lebanon
Advances in neural information processing systems (NIPS), 961-968, 2007
1752007
Metric learning for text documents
G Lebanon
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 497-508, 2006
1732006
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
1602014
Non-parametric Modeling of Partially Ranked Data
G Lebanon, Y Mao
Journal of Machine Learning Research 9 (Oct), 2401-2429, 2008
1512008
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
1272016
The Landmark Selection Method for Multiple Output Prediction
K Balasubramanian, G Lebanon
Proc. of the 29th International Conference on Machine Learning (ICML) 2012, 2012
1222012
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
1152013
The Locally Weighted Bag of Words Framework for Document Representation.
G Lebanon, Y Mao, J Dillon
Journal of Machine Learning Research 8 (10), 2007
992007
Riemannian geometry and statistical machine learning
G Lebanon
Carnegie Mellon University, 2005
882005
Information diffusion kernels
G Lebanon, JD Lafferty
Advances in Neural Information Processing Systems, 391-398, 2003
852003
Visualizing incomplete and partially ranked data
P Kidwell, G Lebanon, WS Cleveland
IEEE Transactions on Visualization and Computer Graphics 14 (6), 1356-1363, 2008
822008
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
802010
Prea: Personalized recommendation algorithms toolkit
J Lee, M Sun, G Lebanon
The Journal of Machine Learning Research 13 (Jan), 2699-2703, 2012
702012
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
662008
Learning riemannian metrics
G Lebanon
Uncertainty in Artificial Intelligence, 362-369, 2002
61*2002
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