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All publications by Tony Jebara
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Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi and Tony Jebara
Advances in Neural Information Processing Systems 27, 2014


Clamping Variables and Approximate Inference
Adrian Weller and Tony Jebara
Advances in Neural Information Processing Systems 27, 2014


A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S. Merel, Roy Fox, Tony Jebara and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Adaptive Anonymity via b-Matching
Krzysztof M. Choromanski, Tony Jebara and Kui Tang
Advances in Neural Information Processing Systems 26, 2013


Majorization for CRFs and Latent Likelihoods
Tony Jebara and Anna Choromanska
Advances in Neural Information Processing Systems 25, 2012


Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy and Tony Jebara
Advances in Neural Information Processing Systems 24, 2011


Learning a Distance Metric from a Network
Blake Shaw, Bert Huang and Tony Jebara
Advances in Neural Information Processing Systems 24, 2011


Fast b-matching via Sufficient Selection Belief Propagation
Bert C. Huang and Tony Jebara
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Empirical Bernstein Boosting
Pannagadatta K. Shivaswamy and Tony Jebara
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Collaborative Filtering via Rating Concentration
Bert C. Huang and Tony Jebara
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Structure preserving embedding
Blake Shaw and Tony Jebara
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Graph construction and {\it b}-matching for semi-supervised learning
Tony Jebara, Jun Wang and Shih-fu Chang
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Graph transduction via alternating minimization
Jun Wang, Tony Jebara and Shih-fu Chang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Relative Margin Machines
Tony Jebara and Pannagadatta K. Shivaswamy
Advances in Neural Information Processing Systems 21, 2008


Density Estimation under Independent Similarly Distributed Sampling Assumptions
Tony Jebara, Yingbo Song and Kapil Thadani
Advances in Neural Information Processing Systems 20, 2007


Learning Monotonic Transformations for Classification
Andrew Howard and Tony Jebara
Advances in Neural Information Processing Systems 20, 2007


Ellipsoidal Machines
Pannagadatta K. Shivaswamy and Tony Jebara
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Minimum Volume Embedding
Blake Shaw and Tony Jebara
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Multi-object tracking with representations of the symmetric group
Risi Kondor, Andrew Howard and Tony Jebara
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Loopy Belief Propagation for Bipartite Maximum Weight b-Matching
Bert C. Huang and Tony Jebara
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Permutation invariant SVMs
Pannagadatta K. Shivaswamy and Tony Jebara
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Nonstationary kernel combination
Darrin P. Lewis, Tony Jebara and William S. Noble
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Gaussian and Wishart Hyperkernels
Risi Kondor and Tony Jebara
Advances in Neural Information Processing Systems 19, 2006


An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael I. Mandel, Daniel P. Ellis and Tony Jebara
Advances in Neural Information Processing Systems 19, 2006


Multi-task feature and kernel selection for SVMs
Tony Jebara
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Probability Product Kernels
Tony Jebara, Risi Kondor and Andrew Howard
Journal of Machine Learning Research, 2004


A Kernel Between Sets of Vectors
Risi Kondor and Tony Jebara
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003