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All publications by Tamir Hazan
authors venues years

**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