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All publications by Tamir Hazan
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K-hyperplane Hinge-Minimax Classifier
Margarita Osadchy, Tamir Hazan and Daniel Keren
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Following the Perturbed Leader for Online Structured Learning
Alon Cohen and Tamir Hazan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
Alexander Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate and Tommi Jaakkola
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Advances in Neural Information Processing Systems 25, 2012


Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Partition Function and Random Maximum A-Posteriori Perturbations
Tamir Hazan and Tommi S. Jaakkola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro and Jinbo Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Convex Max-Product over Compact Sets for Protein Folding
Jian Peng, Tamir Hazan, Raquel Urtasun and David A. Mcallester
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Direct Loss Minimization for Structured Prediction
Tamir Hazan, Joseph Keshet and David A. Mcallester
Advances in Neural Information Processing Systems 23, 2010


A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
Tamir Hazan and Raquel Urtasun
Advances in Neural Information Processing Systems 23, 2010


Non-negative tensor factorization with applications to statistics and computer vision
Amnon Shashua and Tamir Hazan
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Algebraic Set Kernels with Application to Inference Over Local Image Representations
Amnon Shashua and Tamir Hazan
Advances in Neural Information Processing Systems 17, 2004