Diffusion kernels on statistical manifolds JD Lafferty, G Lebanon Journal of Machine Learning Research 6, 2005 | 338 | 2005 |
Local low-rank matrix approximation J Lee, S Kim, G Lebanon, Y Singer International conference on machine learning, 82-90, 2013 | 260 | 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 | 245 | 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 | 220 | 2012 |
Isotonic conditional random fields and local sentiment flow Y Mao, G Lebanon Advances in neural information processing systems (NIPS), 961-968, 2007 | 172 | 2007 |
Metric learning for text documents G Lebanon IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 497-508, 2006 | 169 | 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 | 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 |
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 |
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 | 120 | 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 | 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 | 97 | 2007 |
Riemannian geometry and statistical machine learning G Lebanon Carnegie Mellon University, 2005 | 86 | 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 | 64 | 2008 |
Learning riemannian metrics G Lebanon Uncertainty in Artificial Intelligence, 362-369, 2002 | 61* | 2002 |