Jebara, Tony

66 publications

UAI 2022 Multistate Analysis with Infinite Mixtures of Markov Chains Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda, Tony Jebara

NeurIPS 2019 A New Distribution on the Simplex with Auto-Encoding Applications Andrew Stirn, Tony Jebara, David Knowles

ICMLW 2019 Active Multitask Learning with Committees Jingxi Xu, Da Tang, Tony Jebara

ICML 2019 Correlated Variational Auto-Encoders Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

ICLRW 2019 Correlated Variational Auto-Encoders Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

IJCAI 2019 Marginal Posterior Sampling for Slate Bandits Maria Dimakopoulou, Nikos Vlassis, Tony Jebara

ICML 2019 On the Design of Estimators for Bandit Off-Policy Evaluation Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou, Tony Jebara

AISTATS 2017 Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien

AISTATS 2017 Initialization and Coordinate Optimization for Multi-Way Matching Da Tang, Tony Jebara

AISTATS 2016 Bethe Learning of Graphical Models via MAP Decoding Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara

ICML 2016 Binary Embeddings with Structured Hashed Projections Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun

IJCAI 2015 Collaborative Place Models Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara

UAI 2014 Approximating the Bethe Partition Function Adrian Weller, Tony Jebara

NeurIPS 2014 Clamping Variables and Approximate Inference Adrian Weller, Tony Jebara

AISTATS 2014 Collaborative Ranking for Local Preferences Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara

NeurIPS 2014 Making Pairwise Binary Graphical Models Attractive Nicholas Ruozzi, Tony Jebara

ICLR 2014 Semistochastic Quadratic Bound Methods for Convex and Nonconvex Learning Problems Aleksandr Y. Aravkin, Anna Choromanska, Dimitri Kanevsky, Tony Jebara

UAI 2014 Understanding the Bethe Approximation: When and How Can It Go Wrong? Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag

NeurIPS 2013 A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces Josh S Merel, Roy Fox, Tony Jebara, Liam Paninski

NeurIPS 2013 Adaptive Anonymity via $b$-Matching Krzysztof M Choromanski, Tony Jebara, Kui Tang

AISTATS 2013 Bethe Bounds and Approximating the Global Optimum Adrian Weller, Tony Jebara

ALT 2013 Fast Spectral Clustering via the Nyström Method Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni

UAI 2013 On MAP Inference by MWSS on Perfect Graphs Adrian Weller, Tony Jebara

JMLR 2013 Semi-Supervised Learning Using Greedy Max-Cut Jun Wang, Tony Jebara, Shih-Fu Chang

NeurIPS 2012 Majorization for CRFs and Latent Likelihoods Tony Jebara, Anna Choromanska

AISTATS 2011 Fast $b$-Matching via Sufficient Selection Belief Propagation Bert Huang, Tony Jebara

NeurIPS 2011 Learning a Distance Metric from a Network Blake Shaw, Bert Huang, Tony Jebara

JMLR 2011 Multitask Sparsity via Maximum Entropy Discrimination Tony Jebara

NeurIPS 2011 Variance Penalizing AdaBoost Pannagadatta K. Shivaswamy, Tony Jebara

AISTATS 2010 Collaborative Filtering via Rating Concentration Bert Huang, Tony Jebara

AISTATS 2010 Empirical Bernstein Boosting Pannagadatta Shivaswamy, Tony Jebara

ECML-PKDD 2010 Laplacian Spectrum Learning Pannagadatta K. Shivaswamy, Tony Jebara

JMLR 2010 Maximum Relative Margin and Data-Dependent Regularization Pannagadatta K. Shivaswamy, Tony Jebara

ICML 2009 Graph Construction and B-Matching for Semi-Supervised Learning Tony Jebara, Jun Wang, Shih-Fu Chang

UAI 2009 MAP Estimation, Message Passing, and Perfect Graphs Tony Jebara

ICML 2009 Structure Preserving Embedding Blake Shaw, Tony Jebara

UAI 2008 Bayesian Out-Trees Tony Jebara

ICML 2008 Graph Transduction via Alternating Minimization Jun Wang, Tony Jebara, Shih-Fu Chang

NeurIPS 2008 Relative Margin Machines Tony Jebara, Pannagadatta K. Shivaswamy

ECCV 2008 Semantic Concept Classification by Joint Semi-Supervised Learning of Feature Subspaces and Support Vector Machines Wei Jiang, Shih-Fu Chang, Tony Jebara, Alexander C. Loui

NeurIPS 2007 Density Estimation Under Independent Similarly Distributed Sampling Assumptions Tony Jebara, Yingbo Song, Kapil Thadani

AISTATS 2007 Ellipsoidal Machines Pannagadatta K. Shivaswamy, Tony Jebara

NeurIPS 2007 Learning Monotonic Transformations for Classification Andrew Howard, Tony Jebara

AISTATS 2007 Loopy Belief Propagation for Bipartite Maximum Weight B-Matching Bert Huang, Tony Jebara

AISTATS 2007 Minimum Volume Embedding Blake Shaw, Tony Jebara

AISTATS 2007 Multi-Object Tracking with Representations of the Symmetric Group Risi Kondor, Andrew Howard, Tony Jebara

NeurIPS 2006 An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments Michael I. Mandel, Daniel P. Ellis, Tony Jebara

ECML-PKDD 2006 B-Matching for Spectral Clustering Tony Jebara, Vlad Shchogolev

NeurIPS 2006 Gaussian and Wishart Hyperkernels Risi Kondor, Tony Jebara

ICML 2006 Nonstationary Kernel Combination Darrin P. Lewis, Tony Jebara, William Stafford Noble

ICML 2006 Permutation Invariant SVMs Pannagadatta K. Shivaswamy, Tony Jebara

UAI 2004 Dynamical Systems Trees Andrew G. Howard, Tony Jebara

COLT 2004 Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA Tony Jebara

ICML 2004 Multi-Task Feature and Kernel Selection for SVMs Tony Jebara

JMLR 2004 Probability Product Kernels (Special Topic on Learning Theory) Tony Jebara, Risi Kondor, Andrew Howard

ICML 2003 A Kernel Between Sets of Vectors Risi Kondor, Tony Jebara

COLT 2003 Bhattacharyya Expected Likelihood Kernels Tony Jebara, Risi Kondor

AISTATS 2003 Convex Invariance Learning Tony Jebara

ICCV 2003 Images as Bags of Pixels Tony Jebara

UAI 2000 Feature Selection and Dualities in Maximum Entropy Discrimination Tony Jebara, Tommi S. Jaakkola

NeurIPS 2000 On Reversing Jensen's Inequality Tony Jebara, Alex Pentland

NeurIPS 1999 Maximum Entropy Discrimination Tommi Jaakkola, Marina Meila, Tony Jebara

NeurIPS 1998 Bayesian Modeling of Facial Similarity Baback Moghaddam, Tony Jebara, Alex Pentland

NeurIPS 1998 Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm Tony Jebara, Alex Pentland

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

CVPR 1997 Parametrized Structure from Motion for 3D Adaptive Feedback Tracking of Faces Tony Jebara, Alex Pentland