☰

Tony Jebara

Affiliations: 
Columbia University, New York, NY 
Area:
Machine Learning, Vision
Website:
http://www.cs.columbia.edu/~jebara
Google:
"Tony Jebara"
Mean distance: 15.74 (cluster 29)
 		SNBCP
Tree Publications Grants Similar researchers PubMed Report error

Parents

Sign in to add mentor
Alex Pentland grad student 1996-2002 MIT
Tommi S. Jaakkola grad student 1999-2002 MIT

Children

Sign in to add trainee
Darrin 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

Collaborators

Sign in to add collaborator
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...