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Tony Jebara - Publications

Affiliations: 
Columbia University, New York, NY 
Area:
Machine Learning, Vision
Website:
http://www.cs.columbia.edu/~jebara
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35 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
2014 Weller A, Jebara T. Clamping variables and approximate inference Advances in Neural Information Processing Systems. 1: 909-917.  0.413
2014 Weller A, Tang K, Sontag D, Jebara T. Understanding the Bethe approximation: When and how can it go wrong? Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 868-877.  0.391
2014 Weller A, Jebara T. Approximating the Bethe partition function Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 858-867.  0.404
2013 Choromanska A, Jebara T, Kim H, Mohan M, Monteleoni C. Fast spectral clustering via the Nyström method Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8139: 367-381. DOI: 10.1007/978-3-642-40935-6_26  0.524
2013 Weller A, Jebara T. On MAP inference by MWSS on perfect graphs Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 684-693.  0.386
2012 Jebara T, Choromanska A. Majorization for CRFs and latent likelihoods (Supplementary material) Advances in Neural Information Processing Systems. 1: 565b-574.  0.543
2012 Jebara T, Choromanska A. Majorization for CRFs and latent likelihoods (Supplementary material) Advances in Neural Information Processing Systems. 1: 565b-574.  0.543
2011 Shivaswamy PK, Jebara T. Variance penalizing AdaBoost Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.689
2010 Shivaswamy PK, Jebara T. Laplacian spectrum learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6323: 261-276. DOI: 10.1007/978-3-642-15939-8_17  0.68
2010 Shivaswamy PK, Jebara T. Empirical Bernstein boosting Journal of Machine Learning Research. 9: 733-740.  0.678
2010 Shivaswamy PK, Jebara T. Maximum relative margin and data-dependent regularization Journal of Machine Learning Research. 11: 747-788.  0.686
2009 Lazer D, Pentland A, Adamic L, Aral S, Barabasi AL, Brewer D, Christakis N, Contractor N, Fowler J, Gutmann M, Jebara T, King G, Macy M, Roy D, Van Alstyne M. Social science. Computational social science. Science (New York, N.Y.). 323: 721-3. PMID 19197046 DOI: 10.1126/Science.1167742  0.684
2009 Shivaswamy P, Jebara T. Structured prediction with relative margin 8th International Conference On Machine Learning and Applications, Icmla 2009. 281-287. DOI: 10.1109/ICMLA.2009.19  0.673
2009 Howard A, Jebara T. Transformation learning via kernel alignment 8th International Conference On Machine Learning and Applications, Icmla 2009. 301-308. DOI: 10.1109/ICMLA.2009.124  0.433
2009 Shivaswamy PK, Jebara T. Relative margin machines Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1481-1488.  0.694
2009 Howard AG, Jebara T. Learning monotonic transformations for classification Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.442
2007 Kondor R, Jebara T. Gaussian and Wishart hyperkernels Advances in Neural Information Processing Systems. 729-736.  0.654
2007 Kondor R, Howard A, Jebara T. Multi-object tracking with representations of the symmetric group Journal of Machine Learning Research. 2: 211-218.  0.677
2007 Shivaswamy PK, Jebara T. Ellipsoidal kernel machines Journal of Machine Learning Research. 2: 484-491.  0.697
2006 Lewis DP, Jebara T, Noble WS. Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure. Bioinformatics (Oxford, England). 22: 2753-60. PMID 16966363 DOI: 10.1093/bioinformatics/btl475  0.704
2006 Shivaswamy PK, Jebara T. Permutation invariant SVMs Acm International Conference Proceeding Series. 148: 817-824. DOI: 10.1145/1143844.1143947  0.703
2006 Lewis DP, Jebara T, Noble WS. Nonstationary kernel combination Acm International Conference Proceeding Series. 148: 553-560. DOI: 10.1145/1143844.1143914  0.674
2004 Jebara T, Kondor R, Howard A. Probability product kernels Journal of Machine Learning Research. 5: 819-844.  0.685
2003 Kondor R, Jebara T. A Kernel Between Sets of Vectors Proceedings, Twentieth International Conference On Machine Learning. 1: 361-368.  0.664
2003 Jebara T, Kondor R. Bhattacharyya and expected likelihood kernels Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 57-71.  0.676
2001 Jebara T, Pentland A. On reversing Jensen's inequality Advances in Neural Information Processing Systems.  0.346
2000 Moghaddam B, Jebara T, Pentland A. Bayesian face recognition Pattern Recognition. 33: 1771-1782. DOI: 10.1016/S0031-3203(99)00179-X  0.61
2000 Jaakkola T, Meila M, Jebara T. Maximum entropy discrimination Advances in Neural Information Processing Systems. 470-476.  0.514
1999 Strom J, Jebara T, Basu S, Pentland A. Real time tracking and modeling of faces: an EKF-based analysis by synthesis approach People First. 55-61. DOI: 10.1109/People.1999.798346  0.461
1999 Jebara T, Azarbayejani A, Pentland A. 3D structure from 2D motion Ieee Signal Processing Magazine. 16: 66-84. DOI: 10.1109/79.768574  0.46
1999 Moghaddam B, Jebara T, Pentland A. Bayesian modeling of facial similarity Advances in Neural Information Processing Systems. 910-916.  0.373
1999 Jebara T, Pentland A. Maximum conditional likelihood via bound maximization and the CEM Algorithm Advances in Neural Information Processing Systems. 494-500.  0.375
1998 Jebara T, Russell K, Pentland A. Mixtures of eigenfeatures for real-time structure from texture Proceedings of the Ieee International Conference On Computer Vision. 128-135.  0.37
1997 Jebara T, Eyster C, Weaver J, Starner T, Pentland A. Stochasticks: Augmenting the billiards experience with probabilistic vision and wearable computers International Symposium On Wearable Computers, Digest of Papers. 138-145.  0.368
1997 Jebara TS, Pentland A. Parametrized structure from motion for 3D adaptive feedback tracking of faces Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 144-150.  0.366
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