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Guy Lebanon, Ph.D. - Publications

Affiliations: 
2005 Carnegie Mellon University, Pittsburgh, PA 
Area:
statistical machine learning
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Kim S, Lee J, Lebanon G, Park H. Local context sparse coding Proceedings of the National Conference On Artificial Intelligence. 3: 2260-2266.  0.315
2013 Balasubramanian K, Yu K, Lebanon G. Smooth sparse coding via marginal regression for learning sparse representations 30th International Conference On Machine Learning, Icml 2013. 1326-1334. DOI: 10.1016/J.Artint.2016.04.009  0.447
2013 Hammer B, Keim D, Lawrence N, Lebanon G. Preface: Intelligent interactive data visualization Data Mining and Knowledge Discovery. 27: 1-3. DOI: 10.1007/S10618-013-0309-Y  0.334
2012 Sun M, Lebanon G, Kidwell P. Estimating probabilities in recommendation systems Journal of the Royal Statistical Society. Series C: Applied Statistics. 61: 471-492. DOI: 10.1111/J.1467-9876.2011.01027.X  0.32
2011 Kidwell P, Lebanon G, Collins-Thompson K. Statistical estimation of word acquisition with application to readability prediction Journal of the American Statistical Association. 106: 21-30. DOI: 10.1198/Jasa.2010.Ap09318  0.402
2010 Lebanon G, Zhao Y, Zhao Y. Modeling temporal text streams using the local multinomial model Electronic Journal of Statistics. 4: 566-584. DOI: 10.1214/09-Ejs522  0.409
2010 Dillon JV, Balasubramanian K, Lebanon G. Asymptotic analysis of generative semi-supervised learning Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 295-302.  0.338
2010 Donmez P, Lebanon G, Balasubramanian K. Unsupervised supervised learning I: Estimating classification and regression errors without labels Journal of Machine Learning Research. 11: 1323-1351.  0.307
2009 Kasik DJ, Ebert D, Lebanon G, Park H, Pottenger WM. Data Transformations and Representations for Computation and Visualization Information Visualization. 8: 275-285. DOI: 10.1057/Ivs.2009.27  0.312
2009 Lebanon G. Axiomatic geometries for text documents Algebraic and Geometric Methods in Statistics. 277-290. DOI: 10.1017/CBO9780511642401.018  0.418
2009 Greenshtein E, Park J, Lebanon G. Regularization through variable selection and conditional MLE with application to classification in high dimensions Journal of Statistical Planning and Inference. 139: 385-395. DOI: 10.1016/J.Jspi.2008.04.027  0.388
2009 Mao Y, Lebanon G. Generalized isotonic conditional random fields Machine Learning. 77: 225-248. DOI: 10.1007/S10994-009-5139-1  0.375
2009 Lebanon G, Mao Y. Non-parametric modeling of partially ranked data Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.322
2008 Kidwell P, Lebanon G, Cleveland WS. Visualizing incomplete and partially ranked data. Ieee Transactions On Visualization and Computer Graphics. 14: 1356-63. PMID 18988984 DOI: 10.1109/Tvcg.2008.181  0.349
2007 Mao Y, Dillon J, Lebanon G. Sequential document visualization. Ieee Transactions On Visualization and Computer Graphics. 13: 1208-15. PMID 17968066 DOI: 10.1109/Tvcg.2007.70592  0.372
2007 Dillon J, Mao Y, Lebanon G, Zhang J. Statistical translation, heat kernels and expected distances Proceedings of the 23rd Conference On Uncertainty in Artificial Intelligence, Uai 2007. 93-100.  0.346
2006 Lebanon G. Metric learning for text documents. Ieee Transactions On Pattern Analysis and Machine Intelligence. 28: 497-508. PMID 16566500 DOI: 10.1109/Tpami.2006.77  0.469
2005 Lebanon G. Axiomatic geometry of conditional models Ieee Transactions On Information Theory. 51: 1283-1294. DOI: 10.1109/Tit.2005.844060  0.414
2005 Lafferty J, Lebanon G. Diffusion kernels on statistical manifolds Journal of Machine Learning Research. 6.  0.577
2004 Lebanon G, Lafferty J. Hyperplane margin classifiers on the multinomial manifold Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 520-527.  0.577
2003 Lafferty J, Lebanon G. Information diffusion kernels Advances in Neural Information Processing Systems.  0.581
2003 Lebanon G, Lafferty J. Conditional models on the ranking poset Advances in Neural Information Processing Systems.  0.544
2002 Lebanon G, Lafferty J. Boosting and maximum likelihood for exponential models Advances in Neural Information Processing Systems.  0.534
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