Tony Jebara

Adrian Weller, Tony Jebara: Bethe Bounds and Approximating the Global Optimum. CoRR abs/1301.0015 (2013)

Tony Jebara, Tommi Jaakkola: Feature Selection and Dualities in Maximum Entropy Discrimination. CoRR abs/1301.3865 (2013)

Tony Jebara, Anna Choromanska: Majorization for CRFs and Latent Likelihoods. NIPS 2012: 566-574

Tony Jebara: MAP Estimation, Message Passing, and Perfect Graphs. CoRR abs/1205.2639 (2012)

Tony Jebara: Bayesian Out-Trees. CoRR abs/1206.3269 (2012)

Andrew Howard, Tony Jebara: Dynamical Systems Trees. CoRR abs/1207.4148 (2012)

Tony Jebara: Multitask Sparsity via Maximum Entropy Discrimination. Journal of Machine Learning Research 12: 75-110 (2011)

Bert C. Huang, Tony Jebara: Fast b-matching via Sufficient Selection Belief Propagation. Journal of Machine Learning Research - Proceedings Track 15: 361-369 (2011)

Arezu Moghadam, Tony Jebara, Henning Schulzrinne: A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data. MSWiM 2011: 323-332

Blake Shaw, Bert C. Huang, Tony Jebara: Learning a Distance Metric from a Network. NIPS 2011: 1899-1907

Pannagadatta K. Shivaswamy, Tony Jebara: Variance Penalizing AdaBoost. NIPS 2011: 1908-1916

Bert C. Huang, Tony Jebara: Collaborative Filtering via Rating Concentration. Journal of Machine Learning Research - Proceedings Track 9: 334-341 (2010)

Pannagadatta K. Shivaswamy, Tony Jebara: Empirical Bernstein Boosting. Journal of Machine Learning Research - Proceedings Track 9: 733-740 (2010)

Pannagadatta K. Shivaswamy, Tony Jebara: Maximum Relative Margin and Data-Dependent Regularization. Journal of Machine Learning Research 11: 747-788 (2010)

Pannagadatta K. Shivaswamy, Tony Jebara: Laplacian Spectrum Learning. ECML/PKDD (3) 2010: 261-276

Tony Jebara, Jun Wang, Shih-Fu Chang: Graph construction and b-matching for semi-supervised learning. ICML 2009: 56

Blake Shaw, Tony Jebara: Structure preserving embedding. ICML 2009: 118

Bert C. Huang, Tony Jebara: Exact Graph Structure Estimation with Degree Priors. ICMLA 2009: 111-118

Pannagadatta K. Shivaswamy, Tony Jebara: Structured Prediction with Relative Margin. ICMLA 2009: 281-287

Andrew Howard, Tony Jebara: Transformation Learning Via Kernel Alignment. ICMLA 2009: 301-308

Adrian Weller, Daniel P. W. Ellis, Tony Jebara: Structured Prediction Models for Chord Transcription of Music Audio. ICMLA 2009: 590-595

Tony Jebara: MAP Estimation, Message Passing, and Perfect Graphs. UAI 2009: 258-267

Bert C. Huang, Tony Jebara: Approximating the Permanent with Belief Propagation. CoRR abs/0908.1769 (2009)

Wei Jiang, Shih-Fu Chang, Tony Jebara, Alexander C. Loui: Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines. ECCV (4) 2008: 270-283

Jun Wang, Tony Jebara, Shih-Fu Chang: Graph transduction via alternating minimization. ICML 2008: 1144-1151

Pannagadatta K. Shivaswamy, Tony Jebara: Relative Margin Machines. NIPS 2008: 1481-1488

Tony Jebara: Bayesian Out-Trees. UAI 2008: 315-324

Gedeon O. Deák, Marni Stewart Bartlett, Tony Jebara: New trends in Cognitive Science: Integrative approaches to learning and development. Neurocomputing 70(13-15): 2139-2147 (2007)

Bert C. Huang, Tony Jebara: Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. Journal of Machine Learning Research - Proceedings Track 2: 195-202 (2007)

Risi Kondor, Andrew Howard, Tony Jebara: Multi-object tracking with representations of the symmetric group. Journal of Machine Learning Research - Proceedings Track 2: 211-218 (2007)

Blake Shaw, Tony Jebara: Minimum Volume Embedding. Journal of Machine Learning Research - Proceedings Track 2: 460-467 (2007)

Pannagadatta K. Shivaswamy, Tony Jebara: Ellipsoidal Machines. Journal of Machine Learning Research - Proceedings Track 2: 484-491 (2007)

Tony Jebara, Yingbo Song, Kapil Thadani: Spectral Clustering and Embedding with Hidden Markov Models. ECML 2007: 164-175

Andrew Howard, Tony Jebara: Learning Monotonic Transformations for Classification. NIPS 2007

Tony Jebara, Yingbo Song, Kapil Thadani: Density Estimation under Independent Similarly Distributed Sampling Assumptions. NIPS 2007

Darrin P. Lewis, Tony Jebara, William Stafford Noble: Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure. Bioinformatics 22(22): 2753-2760 (2006)

Tony Jebara, Vlad Shchogolev: B-Matching for Spectral Clustering. ECML 2006: 679-686

Darrin P. Lewis, Tony Jebara, William Stafford Noble: Nonstationary kernel combination. ICML 2006: 553-560

Pannagadatta K. Shivaswamy, Tony Jebara: Permutation invariant SVMs. ICML 2006: 817-824

Risi Kondor, Tony Jebara: Gaussian and Wishart Hyperkernels. NIPS 2006: 729-736

Michael I. Mandel, Daniel P. W. Ellis, Tony Jebara: An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments. NIPS 2006: 953-960

Ko Nishino, Shree K. Nayar, Tony Jebara: Clustered Blockwise PCA for Representing Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1675-1679 (2005)

Tony Jebara, Risi Kondor, Andrew Howard: Probability Product Kernels. Journal of Machine Learning Research 5: 819-844 (2004)

Tony Jebara: Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA. COLT 2004: 609-623

Tony Jebara: Multi-task feature and kernel selection for SVMs. ICML 2004

Raphael Pelossof, Andrew T. Miller, Peter K. Allen, Tony Jebara: An SVM Learning Approach to Robotic Grasping. ICRA 2004: 3512-3518

Andrew Howard, Tony Jebara: Dynamical Systems Trees. UAI 2004: 260-267

Tony Jebara, Risi Kondor: Bhattacharyya Expected Likelihood Kernels. COLT 2003: 57-71

Tony Jebara: Images as Bags of Pixels. ICCV 2003: 265-272

Risi Kondor, Tony Jebara: A Kernel Between Sets of Vectors. ICML 2003: 361-368

Baback Moghaddam, Tony Jebara, Alex Pentland: Bayesian face recognition. Pattern Recognition 33(11): 1771-1782 (2000)

Tony Jebara, Alex Pentland: On Reversing Jensen's Inequality. NIPS 2000: 231-237

Tony Jebara, Tommi Jaakkola: Feature Selection and Dualities in Maximum Entropy Discrimination. UAI 2000: 291-300

Bernt Schiele, Nuria Oliver, Tony Jebara, Alex Pentland: An Interactive Computer Vision System DyPERS: Dynamic Personal Enhanced Reality System. ICVS 1999: 51-65

Tony Jebara, Alex Pentland: Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour. ICVS 1999: 273-292

Tommi Jaakkola, Marina Meila, Tony Jebara: Maximum Entropy Discrimination. NIPS 1999: 470-476

Tony Jebara, Kenneth B. Russell, Alex Pentland: Mixtures of Eigen Features for Real-Time Structure from Texture. ICCV 1998: 128-138

Tony Jebara, Alex Pentland: Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm. NIPS 1998: 494-500

Baback Moghaddam, Tony Jebara, Alex Pentland: Bayesian Modeling of Facial Similarity. NIPS 1998: 910-916

Tony Jebara, Alex Pentland: Parametrized structure from motion for 3D adaptive feedback tracking of faces. CVPR 1997: 144-150

Tony Jebara, Cyrus Eyster, Joshua Weaver, Thad Starner, Alex Pentland: Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers. ISWC 1997: 138-145