- T. Hazan, F. Orabona, A. Sarwate, S. Maji and T. Jaakkola
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Preprint. - H. Averbuch-Elor, J. Kopf, T. Hazan and D. Cohen-Or
Co-Segmentation for Space-Time Co-located Collections
The Visual Computer Journal, 2017 - A. Cohen, T. Hazan and T. Koren
Tight Bounds for Bandit Combinatorial Optimization
Computational Learning Theory (COLT), 2017 - I. Schwartz, A. Schwing and T. Hazan
High Order Attention Models for Visual Question Answering
Neural Information Processing Systems (NIPS), 2017 - O. Plonsky, I. Erez and, T. Hazan and M. Tenenholtz
Psychological Forest: Predicting Human Behavior
Association for the Advancement of Artificial Intelligence (AAAI), 2017 - A. Cohen, T. Hazan and T. Koren
Online Learning with Feedback Graphs Without the Graphs
International Conference on Machine Learning (ICML), 2016 - Y. Tenzer, A. Schwing, K. Gimpel and T. Hazan
Constraints Based Convex Belief Propagation
Neural Information Processing Systems (NIPS), 2016 - T. Galanti, L. Wolf and T. Hazan
A Theoretical Framework for Deep Transfer Learning
Information and Inference, 2016 - T. Hazan, A. Schwing and R. Urtasun
Blending Learning and Inference in Conditional Random Fields
Journal of Machine Learning Research (JMLR).
[code] - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun
Distributed Algorithms for Large Scale Learning and Inference in Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
[code] - J. Kappes, P. Swoboda, B. Savchynskyy, T. Hazan and C. Schnorr
Multicuts and Perturb and MAP for Probabilistic Graph Clustering
Journal of Mathematical Imaging and Vision (JMIV), 2016 - I. Ben Shalom, N. Levy, L. Wolf, N. Dershowitz, A. Ben Shalom, R. Shweka, Y. Choueka, T. Hazan and Y. Bar
Active Congruency-Based Reranking
Frontiers in Digital Humanities, 2016 - O. Meshi, N. Srebro and T. Hazan
Efficient training of Structured SVMs via Soft Constraints
International Conference on Artificial Intelligence and Statistics (AISTATS), 2015. - A. Cohen and T. Hazan
Following the Perturbed Leader for Online Structured Learning
International Conference of Machine Learning (ICML), 2015. - R. Osadchy, T. Hazan and D. Keren.
K-hyperplane Hinge-Minimax Classifier
International Conference of Machine Learning (ICML), 2015. - J. Kappes, P. Swoboda, B. Savchynskyy, T. Hazan and C. Schnorr
Probabilistic Correlation Clustering and Image Partitioning using Perturbed Multicut
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2015. - F. Orabona, T. Hazan, A. Sarwate and T. Jaakkola.
On Measure Concentration of Random Maximum A-Posteriori Perturbations
International Conference of Machine Learning (ICML), 2014. - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun.
Globally Convergent Parallel MAP LP Relaxation Solvers using the Frank-Wolfe Algorithm
International Conference of Machine Learning (ICML), 2014. - L. Ben Shalom, A. Ben Shalom, N. Levy, L. Wolf, T. Hazan, N. Dershowitz, Y. Bar, R. Shweka and Y. Choueka.
Congruency-Based Rereanking
Conference on Computer Vision and Pattern Recognition (CVPR), 2014. - A. Gane, T. Hazan, and T. Jaakkola.
Learning with Random Maximum A-Posteriori Perturbation Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014. - S. Maji, T. Hazan and T. Jaakkola.
Efficient Boundary Annotation using Random Maximum A-Posteriori Perturbations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014. - T. Kaser, A. Schwing, T. Hazan and M Gross.
Computational Education using Latent Structured Prediction
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014. - T. Hazan, S. Maji and T. Jaakkola.
On Sampling from the Gibbs distribution with Random Maximum A-Posteriori Perturbations
Neural Information and Processing Systems (NIPS), 2013. - T. Hazan, S. Maji. J. Keshet and T. Jaakkola.
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Neural Information and Processing Systems (NIPS), 2013. - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun.
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Neural Information and Processing Systems (NIPS), 2012. - K. Yamaguchi, T. Hazan, D. McAllester and R. Urtasun.
Continuous Markov Random Fields for Robust Stereo Estimation
European Conference of Computer Vision (ECCV), 2012. - T. Hazan, J. Peng and A. Shashua.
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs
Uncertainty in Artificial Intelligence (UAI), 2012. - T. Hazan and T. Jaakkola.
On the Partition Function and Random Maximum A-Posteriori Perturbations
International Conference of Machine Learning (ICML), 2012.
Best papers short list at ICML 2012 Machine Learning best papers track at AAAI 2012 - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun.
Efficient Structured Prediction with Latent Variables for General Graphical Models
International Conference of Machine Learning (ICML), 2012. - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun.
Efficient Structured Prediction for 3D Indoor Scene Understanding
Conference on Computer Vision and Pattern Recognition (CVPR), 2012. - J. Peng, T. Hazan, N. Srebro and J. Xu.
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012. - J. Peng, T. Hazan, D. McAllester and R. Urtasun.
Convex Max-Product Algorithms for Continuous MRFs with Applications to Protein Folding
International Conference of Machine Learning (ICML), 2011. - A. Schwing, T. Hazan, M. Pollefeys and R. Urtasun.
Distributed Message Passing for Large Scale Graphical Models
Conference on Computer Vision and Pattern Recognition (CVPR), 2011. - J. Keshet, D. McAllester and T. Hazan.
PAC-Bayesian Approach for Minimization of Phoneme Error Rate
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011. - D. McAllester, T. Hazan and J. Keshet.
Direct Loss Minimization for Structured Prediction
Neural Information and Processing Systems (NIPS), 2010. - T. Hazan and R. Urtasun.
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
Neural Information and Processing Systems (NIPS), 2010. - T. Hazan and A. Shashua.
Norm-Product Belief Propagation: Primal-Dual Message-Passing for LP-Relaxation and Approximate-Inference
IEEE Transactions on Information Theory, 2010. - T. Hazan and A. Shashua.
Convergent message-passing algorithms for inference over general graphs with convex free energy
Conference on Uncertainty in Artificial Intelligence (UAI), 2008.
Best student paper runner up. - T. Hazan, A. Man and A. Shashua.
A Parallel Decomposition Solver for SVM: Distributed Dual Ascent using Fenchel Duality
Conference on Computer Vision and Pattern Recognition (CVPR), 2008. - T. Hazan, R. Hardoon and A. Shashua.
pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
International Conference of Computer Vision (ICCV), 2007. - L. Wolf, H. Jhuang and T. Hazan.
Learning Appearance with Low-Rank SVM
Conference on Computer Vision and Pattern Recognition (CVPR), 2007. - A. Shashua, R. Zass and T. Hazan.
Multi-way Clustering Using Super-symmetric Non-negative Tensor Factorization
European Conference on Computer Vision (ECCV), 2006. - T. Hazan, S. Polak and A. Shashua.
Sparse Image Coding using a 3D Non-negative Tensor Factorization
International Conference of Computer Vision (ICCV), 2005. - A. Shashua and T. Hazan.
Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision
International Conference of Machine Learning (ICML), 2005. - A. Shashua and T. Hazan.
Algebraic Set Kernels with Application to Inference Over Local Image Representations
Neural Information and Processing Systems (NIPS), 2004.