| 2024 | AAAI | Layer Collaboration in the Forward-Forward Algorithm. | Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan |
| 2024 | AISTATS | Learning Latent Partial Matchings with Gumbel-IPF Networks. | Hedda Cohen Indelman, Tamir Hazan |
| 2023 | AISTATS | Learning Constrained Structured Spaces with Application to Multi-Graph Matching. | Hedda Cohen Indelman, Tamir Hazan |
| 2022 | AAAI | Latent Space Explanation by Intervention. | Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan |
| 2022 | ICLR | Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. | Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan |
| 2022 | ICML | A Functional Information Perspective on Model Interpretation. | Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan |
| 2022 | ICML | Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. | Tom Ron, Michal Weiler-Sagie, Tamir Hazan |
| 2022 | WACV | Video and Text Matching with Conditioned Embeddings. | Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf |
| 2021 | CVPR | Visual Navigation With Spatial Attention. | Bar Mayo, Tamir Hazan, Ayellet Tal |
| 2021 | ICLR | 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 |
| 2021 | ICML | Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. | Hedda Cohen Indelman, Tamir Hazan |
| 2019 | AIES | A Formal Approach to Explainability. | Lior Wolf, Tomer Galanti, Tamir Hazan |
| 2019 | CVPR | A Simple Baseline for Audio-Visual Scene-Aware Dialog. | Idan Schwartz, Alexander G. Schwing, Tamir Hazan |
| 2019 | CVPR | Factor Graph Attention. | Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing |
| 2018 | IPIN | Gravity Direction Estimation and Heading Determination for Pedestrian Navigation. | Adi Manos, Itzik Klein, Tamir Hazan |
| 2017 | AAAI | Psychological Forest: Predicting Human Behavior. | Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz |
| 2017 | COLT | Tight Bounds for Bandit Combinatorial Optimization. | Alon Cohen, Tamir Hazan, Tomer Koren |
| 2016 | ICML | Online Learning with Feedback Graphs Without the Graphs. | Alon Cohen, Tamir Hazan, Tomer Koren |
| 2015 | AISTATS | Efficient Training of Structured SVMs via Soft Constraints. | Ofer Meshi, Nathan Srebro, Tamir Hazan |
| 2015 | ICML | Following the Perturbed Leader for Online Structured Learning. | Alon Cohen, Tamir Hazan |
| 2015 | ICML | K-hyperplane Hinge-Minimax Classifier. | Margarita Osadchy, Tamir Hazan, Daniel Keren |
| 2014 | AISTATS | Learning with Maximum A-Posteriori Perturbation Models. | Andreea Gane, Tamir Hazan, Tommi S. Jaakkola |
| 2014 | AISTATS | Computational Education using Latent Structured Prediction. | Tanja Kser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross |
| 2014 | AISTATS | Active Boundary Annotation using Random MAP Perturbations. | Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola |
| 2014 | CVPR | Congruency-Based Reranking. | Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar |
| 2014 | ICML | On Measure Concentration of Random Maximum A-Posteriori Perturbations. | Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola |
| 2014 | ICML | Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2012 | CVPR | Efficient structured prediction for 3D indoor scene understanding. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2012 | ECCV | Continuous Markov Random Fields for Robust Stereo Estimation. | Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2012 | ICML | On the Partition Function and Random Maximum A-Posteriori Perturbations. | Tamir Hazan, Tommi S. Jaakkola |
| 2012 | ICML | Efficient Structured Prediction with Latent Variables for General Graphical Models. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2012 | UAI | Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. | Tamir Hazan, Jian Peng, Amnon Shashua |
| 2011 | CVPR | Distributed message passing for large scale graphical models. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2011 | ICASSP | PAC-Bayesian approach for minimization of phoneme error rate. | Joseph Keshet, David A. McAllester, Tamir Hazan |
| 2011 | ICML | Convex Max-Product over Compact Sets for Protein Folding. | Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2008 | CVPR | A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality. | Tamir Hazan, Amit Man, Amnon Shashua |
| 2008 | UAI | Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. | Tamir Hazan, Amnon Shashua |
| 2007 | CVPR | Modeling Appearances with Low-Rank SVM. | Lior Wolf, Hueihan Jhuang, Tamir Hazan |
| 2007 | ICCV | pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. | Tamir Hazan, Roee Hardoon, Amnon Shashua |
| 2006 | ECCV | Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization. | Amnon Shashua, Ron Zass, Tamir Hazan |
| 2005 | ICCV | Sparse Image Coding Using a 3D Non-Negative Tensor Factorization. | Tamir Hazan, Simon Polak, Amnon Shashua |
| 2005 | ICML | Non-negative tensor factorization with applications to statistics and computer vision. | Amnon Shashua, Tamir Hazan |