Hazan, Tamir

53 publications

AAAI 2024 Layer Collaboration in the Forward-Forward Algorithm Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan

AISTATS 2024 Learning Latent Partial Matchings with Gumbel-IPF Networks Hedda Cohen Indelman, Tamir Hazan

AISTATS 2023 Learning Constrained Structured Spaces with Application to Multi-Graph Matching Hedda Cohen Indelman, Tamir Hazan

ICML 2022 A Functional Information Perspective on Model Interpretation Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan

ICML 2022 Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron, Tamir Hazan

AAAI 2022 Latent Space Explanation by Intervention Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan

ICLR 2022 Learning Discrete Structured Variational Auto-Encoder Using Natural Evolution Strategies Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan

NeurIPS 2022 On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat, Yossi Adi, Alex Schwing, Tamir Hazan

WACV 2022 Video and Text Matching with Conditioned Embeddings Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf

NeurIPS 2021 Learning Generalized Gumbel-Max Causal Mechanisms Guy Lorberbom, Daniel D. Johnson, Chris J Maddison, Daniel Tarlow, Tamir Hazan

ICML 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization Hedda Cohen Indelman, Tamir Hazan

ICLR 2021 Optimizing Memory Placement Using Evolutionary Graph Reinforcement Learning Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar

CVPR 2021 Visual Navigation with Spatial Attention Bar Mayo, Tamir Hazan, Ayellet Tal

NeurIPS 2020 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom, Chris J Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow

NeurIPS 2020 Removing Bias in Multi-Modal Classifiers: Regularization by Maximizing Functional Entropies Itai Gat, Idan Schwartz, Alexander Schwing, Tamir Hazan

NeurIPS 2019 Direct Optimization Through $\arg \max$ for Discrete Variational Auto-Encoder Guy Lorberbom, Andreea Gane, Tommi Jaakkola, Tamir Hazan

JMLR 2018 Hinge-Minimax Learner for the Ensemble of Hyperplanes Dolev Raviv, Tamir Hazan, Margarita Osadchy

NeurIPS 2017 High-Order Attention Models for Visual Question Answering Idan Schwartz, Alexander Schwing, Tamir Hazan

AAAI 2017 Psychological Forest: Predicting Human Behavior Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz

COLT 2017 Tight Bounds for Bandit Combinatorial Optimization Alon Cohen, Tamir Hazan, Tomer Koren

JMLR 2016 Blending Learning and Inference in Conditional Random Fields Tamir Hazan, Alexander G. Schwing, Raquel Urtasun

NeurIPS 2016 Constraints Based Convex Belief Propagation Yaniv Tenzer, Alex Schwing, Kevin Gimpel, Tamir Hazan

ICML 2016 Online Learning with Feedback Graphs Without the Graphs Alon Cohen, Tamir Hazan, Tomer Koren

AISTATS 2015 Efficient Training of Structured SVMs via Soft Constraints Ofer Meshi, Nathan Srebro, Tamir Hazan

ICML 2015 Following the Perturbed Leader for Online Structured Learning Alon Cohen, Tamir Hazan

ICML 2015 K-Hyperplane Hinge-Minimax Classifier Margarita Osadchy, Tamir Hazan, Daniel Keren

AISTATS 2014 Active Boundary Annotation Using Random MAP Perturbations Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola

AISTATS 2014 Computational Education Using Latent Structured Prediction Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross

CVPR 2014 Congruency-Based Reranking Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar

ICML 2014 Globally Convergent Parallel MAP LP Relaxation Solver Using the Frank-Wolfe Algorithm Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

AISTATS 2014 Learning with Maximum A-Posteriori Perturbation Models Andreea Gane, Tamir Hazan, Tommi S. Jaakkola

ICML 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations Francesco Orabona, Tamir Hazan, Anand Sarwate, Tommi Jaakkola

NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola

NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations Tamir Hazan, Subhransu Maji, Tommi Jaakkola

AISTATS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu

ECCV 2012 Continuous Markov Random Fields for Robust Stereo Estimation Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun

CVPR 2012 Efficient Structured Prediction for 3D Indoor Scene Understanding Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

ICML 2012 Efficient Structured Prediction with Latent Variables for General Graphical Models Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

NeurIPS 2012 Globally Convergent Dual MAP LP Relaxation Solvers Using Fenchel-Young Margins Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

ICML 2012 On the Partition Function and Random Maximum A-Posteriori Perturbations Tamir Hazan, Tommi S. Jaakkola

UAI 2012 Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs Tamir Hazan, Jian Peng, Amnon Shashua

ICML 2011 Convex Max-Product over Compact Sets for Protein Folding Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun

CVPR 2011 Distributed Message Passing for Large Scale Graphical Models Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction Tamir Hazan, Raquel Urtasun

NeurIPS 2010 Direct Loss Minimization for Structured Prediction Tamir Hazan, Joseph Keshet, David A. McAllester

CVPR 2008 A Parallel Decomposition Solver for SVM: Distributed Dual Ascend Using Fenchel Duality Tamir Hazan, Amit Man, Amnon Shashua

UAI 2008 Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies Tamir Hazan, Amnon Shashua

CVPR 2007 Modeling Appearances with Low-Rank SVM Lior Wolf, Hueihan Jhuang, Tamir Hazan

ICCV 2007 pLSA for Sparse Arrays with Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm Tamir Hazan, Roee Hardoon, Amnon Shashua

ECCV 2006 Multi-Way Clustering Using Super-Symmetric Non-Negative Tensor Factorization Amnon Shashua, Ron Zass, Tamir Hazan

ICML 2005 Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision Amnon Shashua, Tamir Hazan

ICCV 2005 Sparse Image Coding Using a 3D Non-Negative Tensor Factorization Tamir Hazan, Simon Polak, Amnon Shashua

NeurIPS 2004 Algebraic Set Kernels with Application to Inference over Local Image Representations Amnon Shashua, Tamir Hazan