Tony Jebara
Affiliations: | Columbia University, New York, NY |
Area:
Machine Learning, VisionWebsite:
http://www.cs.columbia.edu/~jebaraGoogle:
"Tony Jebara"Mean distance: 15.74 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorAlex Pentland | grad student | 1996-2002 | MIT |
Tommi S. Jaakkola | grad student | 1999-2002 | MIT |
Children
Sign in to add traineeDarrin P. Lewis | grad student | 2002-2006 | Columbia |
Risi R. Kondor | grad student | 2002-2008 | Columbia |
Andrew G. Howard | grad student | 2002-2009 | Columbia |
Pannagadatta K. Shivaswamy | grad student | 2005-2010 | Columbia |
Bert Huang | grad student | 2006-2011 | Columbia |
Blake Shaw | grad student | 2006-2011 | Columbia |
Anna Choromanska | grad student | 2014 | Columbia |
Adrian Weller | grad student | 2014 | Columbia |
BETA: Related publications
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Publications
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Weller A, Jebara T. (2014) Clamping variables and approximate inference Advances in Neural Information Processing Systems. 1: 909-917 |
Weller A, Tang K, Sontag D, et al. (2014) Understanding the Bethe approximation: When and how can it go wrong? Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 868-877 |
Weller A, Jebara T. (2014) Approximating the Bethe partition function Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 858-867 |
Choromanska A, Jebara T, Kim H, et al. (2013) 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 |
Weller A, Jebara T. (2013) On MAP inference by MWSS on perfect graphs Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 684-693 |
Jebara T, Choromanska A. (2012) Majorization for CRFs and latent likelihoods (Supplementary material) Advances in Neural Information Processing Systems. 1: 565b-574 |
Jebara T, Choromanska A. (2012) Majorization for CRFs and latent likelihoods (Supplementary material) Advances in Neural Information Processing Systems. 1: 565b-574 |
Shivaswamy PK, Jebara T. (2011) Variance penalizing AdaBoost Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 |
Shivaswamy PK, Jebara T. (2010) Laplacian spectrum learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6323: 261-276 |
Shivaswamy PK, Jebara T. (2010) Empirical Bernstein boosting Journal of Machine Learning Research. 9: 733-740 |