Perturbations, Optimization, and Statistics (2016) Tamir Hazan, George Papandreou, Daniel Tarlow (Editors). Neural Information Processing series, MIT Press. [MIT Press], [amazon]

• Alex Schwing Asisstant professor at UIUC.
• Alon Cohen Associate professor at TAU.
• Idan Schwartz Postdoc at TAU.
• Guy Lorberbom (Ph.D. student)
• Itai Gat (Ph.D. student)
• Hedda Cohen (Ph.D. student)
• Adi Manos (M.Sc. student)
• Ram Yazdi (M.Sc. student)
• Chana Ross (M.Sc. student)
• Bar Mayo (M.Sc. student)
• Tom Ron (M.Sc. student)
• Alon Berliner (M.Sc. student)
• Vered Halperin (M.Sc. student)
• Gilad Goldreich (M.Sc. student)
• Meghan Lahmi (M.Sc. student)
• Avrech Ben-David (M.Sc. student)

Attention models: Deep learning revolutionized AI and machine learning techniques can be used to achieve human-like behavior. We explore attention models that allow to interprate and improve the prediction process of a learner.
Relevant materials: High Order Attention Models for Visual Question Answering, Factor Graph Attention, Audio-Visual Scene-Aware Dialog.

visual question answering	factor graph attention	scene aware dialog

Perturbation models: Statistically reasoning about complex systems involves a probability distribution over exponentially many configurations. For example, semantic labeling of an image requires to infer a discrete label for each image pixel, hence resulting in possible segmentations which are exponential in the numbers of pixels. Standard approaches such as Gibbs sampling are slow in practice and cannot be applied to many real-life problems. Our goal is to integrate optimization and sampling through extreme value statistics and to define new statistical framework for which sampling and parameter estimation in complex systems are efficient. This framework is based on measuring the stability of prediction to random changes in the potential interactions.
Relevant materials: discrete variational auto encoders, UAI 2014 tutorial, correlation clustering, online structured learning, measure concentration, learning with inverse optimization, entropy bounds and interactive annotations, sampling from the Gibbs distribution using max-solvers, learning with super-modular tasks and non-decomposable loss functions, the partition function and extreme value statistics.

max-solution	perturb-max samples

Markov random fields, convex duality and message-passing: To efficiently predict outcomes in complex systems one can use graphical models and structured predictors. In this setting each predictor provides partial outcomes, e.g., the semantic labels of a region in an image, and global consistency for the structured prediction is maintained by passing messages between these regions. These concepts, emerging from Judea Pearl’s belief propagation algorithm, can be interpreted in terms of optimization theory. Applying Fenchel duality we develop the convex norm-product belief propagation, and its high-oder extensions, which enforce consistency between overlapping predictors using dual block coordinate descent. This provides us with the means to use cloud computing platforms to distribute and parallelize the prediction while maintaining consistency between its subproblems (code available, also for Amazon EC2). Estimating the parameters of region based predictors increase their accuracy in many real-life programs, and currently we achieve with these methods state-of-the-art results in various computer vision applications.

2023

1. Learning Constrained Structured Spaces with Application to Multi-Graph Matching. Hedda Indelman, Tamir Hazan. International Conference on Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{indelman2023learning,
    author = "Indelman, Hedda Cohen and Hazan, Tamir",
    title = "Learning Constrained Structured Spaces with Application to Multi-Graph Matching",
    booktitle = "International Conference on Artificial Intelligence and Statistics",
    pages = "2589--2602",
    year = "2023",
    organization = "PMLR"
}

                    
                  

2. Layer Collaboration in the Forward-Forward Algorithm. Guy Lorberbom, Itai Gat, Yossi Adi, Alex Schwing, Tamir Hazan. arXiv preprint arXiv:2305.12393
[ PDF, BibTeX ]



                    
                    @article{lorberbom2023layer,
    author = "Lorberbom, Guy and Gat, Itai and Adi, Yossi and Schwing, Alex and Hazan, Tamir",
    title = "Layer Collaboration in the Forward-Forward Algorithm",
    journal = "arXiv preprint arXiv:2305.12393",
    year = "2023"
}

                    
                  

2022

3. Video and text matching with conditioned embeddings. Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf. Proceedings of the IEEE/CVF winter conference on applications of computer vision
[ PDF, BibTeX ]



                    
                    @inproceedings{ali2022video,
    author = "Ali, Ameen and Schwartz, Idan and Hazan, Tamir and Wolf, Lior",
    title = "Video and text matching with conditioned embeddings",
    booktitle = "Proceedings of the IEEE/CVF winter conference on applications of computer vision",
    pages = "1565--1574",
    year = "2022"
}

                    
                  

4. Latent space explanation by intervention. Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan. Proceedings of the AAAI Conference on Artificial Intelligence
[ PDF, BibTeX ]



                    
                    @inproceedings{gat2022latent,
    author = "Gat, Itai and Lorberbom, Guy and Schwartz, Idan and Hazan, Tamir",
    title = "Latent space explanation by intervention",
    booktitle = "Proceedings of the AAAI Conference on Artificial Intelligence",
    volume = "36",
    number = "1",
    pages = "679--687",
    year = "2022"
}

                    
                  

5. Walking direction estimation using smartphone sensors: a deep network-based framework. Adi Manos, Tamir Hazan, Itzik Klein. IEEE Transactions on Instrumentation and Measurement
[ PDF, BibTeX ]



                    
                    @article{manos2022walking,
    author = "Manos, Adi and Hazan, Tamir and Klein, Itzik",
    title = "Walking direction estimation using smartphone sensors: a deep network-based framework",
    journal = "IEEE Transactions on Instrumentation and Measurement",
    volume = "71",
    pages = "1--12",
    year = "2022",
    publisher = "IEEE"
}

                    
                  

6. Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. Tom Ron, Tamir Hazan. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{ron2022dual,
    author = "Ron, Tom and Hazan, Tamir",
    title = "Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images",
    booktitle = "International Conference on Machine Learning",
    pages = "18754--18769",
    year = "2022",
    organization = "PMLR"
}

                    
                  

7. A functional information perspective on model interpretation. Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{gat2022functional,
    author = "Gat, Itai and Calderon, Nitay and Reichart, Roi and Hazan, Tamir",
    title = "A functional information perspective on model interpretation",
    booktitle = "International Conference on Machine Learning",
    pages = "7266--7278",
    year = "2022",
    organization = "PMLR"
}

                    
                  

8. On the Importance of Gradient Norm in PAC-Bayesian Bounds. Itai Gat, Yossi Adi, Alex Schwing, Tamir Hazan. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{gat2022importance,
    author = "Gat, Itai and Adi, Yossi and Schwing, Alex and Hazan, Tamir",
    title = "On the Importance of Gradient Norm in PAC-Bayesian Bounds",
    journal = "Advances in Neural Information Processing Systems",
    volume = "35",
    pages = "16068--16081",
    year = "2022"
}

                    
                  

2021

9. Learning randomly perturbed structured predictors for direct loss minimization. Hedda Indelman, Tamir Hazan. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{indelman2021learning,
    author = "Indelman, Hedda Cohen and Hazan, Tamir",
    title = "Learning randomly perturbed structured predictors for direct loss minimization",
    booktitle = "International Conference on Machine Learning",
    pages = "4585--4595",
    year = "2021",
    organization = "PMLR"
}

                    
                  

10. 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. International Conference on Learning Representations
[ PDF, BibTeX ]



                    
                    @inproceedings{khadka2021optimizing,
    author = "Khadka, Shauharda and Aflalo, Estelle and Marder, Mattias and Ben-David, Avrech and Miret, Santiago and Mannor, Shie and Hazan, Tamir and Tang, Hanlin and Majumdar, Somdeb",
    title = "Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning",
    booktitle = "International Conference on Learning Representations",
    year = "2021",
    url = "https://openreview.net/forum?id=-6vS\_4Kfz0"
}

                    
                  

11. Visual navigation with spatial attention. Bar Mayo, Tamir Hazan, Ayellet Tal. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{mayo2021visual,
    author = "Mayo, Bar and Hazan, Tamir and Tal, Ayellet",
    title = "Visual navigation with spatial attention",
    booktitle = "Proceedings of the IEEE/CVF conference on computer vision and pattern recognition",
    pages = "16898--16907",
    year = "2021"
}

                    
                  

12. Learning generalized gumbel-max causal mechanisms. Guy Lorberbom, Daniel Johnson, Chris Maddison, Daniel Tarlow, Tamir Hazan. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{lorberbom2021learning,
    author = "Lorberbom, Guy and Johnson, Daniel D and Maddison, Chris J and Tarlow, Daniel and Hazan, Tamir",
    title = "Learning generalized gumbel-max causal mechanisms",
    journal = "Advances in Neural Information Processing Systems",
    volume = "34",
    pages = "26792--26803",
    year = "2021"
}

                    
                  

13. Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan. ICLR
[ PDF, BibTeX ]



                    
                    @inproceedings{berliner2022learning,
    author = "Berliner, Alon and Rotman, Guy and Adi, Yossi and Reichart, Roi and Hazan, Tamir",
    title = "Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies",
    booktitle = "ICLR",
    year = "2021",
    url = "https://openreview.net/forum?id=d-kyeYrU92g",
    note = "under review"
}

                    
                  

2020

14. Direct policy gradients: Direct optimization of policies in discrete action spaces. Guy Lorberbom, Chris Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{lorberbom2020direct,
    author = "Lorberbom, Guy and Maddison, Chris J and Heess, Nicolas and Hazan, Tamir and Tarlow, Daniel",
    title = "Direct policy gradients: Direct optimization of policies in discrete action spaces",
    journal = "Advances in Neural Information Processing Systems",
    volume = "33",
    pages = "18076--18086",
    year = "2020"
}

                    
                  

15. On the generalization of bayesian deep nets for multi-class classification. Yossi Adi, Yaniv Nemcovsky, Alex Schwing, Tamir Hazan. arXiv preprint arXiv:2002.09866
[ PDF, BibTeX ]



                    
                    @article{adi2020generalization,
    author = "Adi, Yossi and Nemcovsky, Yaniv and Schwing, Alex and Hazan, Tamir",
    title = "On the generalization of bayesian deep nets for multi-class classification",
    journal = "arXiv preprint arXiv:2002.09866",
    year = "2020"
}

                    
                  

16. Stochastic proximal linear method for structured non-convex problems. Tamir Hazan, Shoham Sabach, Sergey Voldman. Optimization Methods and Software
[ PDF, BibTeX ]



                    
                    @article{hazan2020stochastic,
    author = "Hazan, Tamir and Sabach, Shoham and Voldman, Sergey",
    title = "Stochastic proximal linear method for structured non-convex problems",
    journal = "Optimization Methods and Software",
    volume = "35",
    number = "5",
    pages = "921--937",
    year = "2020",
    publisher = "Taylor \\& Francis"
}

                    
                  

17. Generalized planning with deep reinforcement learning. Or Rivlin, Tamir Hazan, Erez Karpas. arXiv preprint arXiv:2005.02305
[ PDF, BibTeX ]



                    
                    @article{rivlin2020generalized,
    author = "Rivlin, Or and Hazan, Tamir and Karpas, Erez",
    title = "Generalized planning with deep reinforcement learning",
    journal = "arXiv preprint arXiv:2005.02305",
    year = "2020"
}

                    
                  

18. Removing bias in multi-modal classifiers: Regularization by maximizing functional entropies. Itai Gat, Idan Schwartz, Alexander Schwing, Tamir Hazan. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{gat2020removing,
    author = "Gat, Itai and Schwartz, Idan and Schwing, Alexander and Hazan, Tamir",
    title = "Removing bias in multi-modal classifiers: Regularization by maximizing functional entropies",
    journal = "Advances in Neural Information Processing Systems",
    volume = "33",
    pages = "3197--3208",
    year = "2020"
}

                    
                  

19. Equalizing data science curriculum for computer science pupils. Koby Mike, Tamir Hazan, Orit Hazzan. Proceedings of the 20th Koli Calling International Conference on Computing Education Research
[ PDF, BibTeX ]



                    
                    @inproceedings{mike2020equalizing,
    author = "Mike, Koby and Hazan, Tamir and Hazzan, Orit",
    title = "Equalizing data science curriculum for computer science pupils",
    booktitle = "Proceedings of the 20th Koli Calling International Conference on Computing Education Research",
    pages = "1--5",
    year = "2020"
}

                    
                  

2019

20. Direct Optimization through $$\backslash$arg$\backslash$max $ for Discrete Variational Auto-Encoder. Guy Lorberbom, Andreea Gane, Tommi Jaakkola, Tamir Hazan. Advances in neural information processing systems
[ BibTeX ]



                    
                    @article{lorberbom2019direct,
    author = "Lorberbom, Guy and Gane, Andreea and Jaakkola, Tommi and Hazan, Tamir",
    title = "Direct Optimization through $$\backslash$arg$\backslash$max $ for Discrete Variational Auto-Encoder",
    journal = "Advances in neural information processing systems",
    volume = "32",
    year = "2019"
}

                    
                  

21. High dimensional inference with random maximum a-posteriori perturbations. Tamir Hazan, Francesco Orabona, Anand Sarwate, Subhransu Maji, Tommi Jaakkola. IEEE Transactions on Information Theory
[ PDF, BibTeX ]



                    
                    @article{hazan2019high,
    author = "Hazan, Tamir and Orabona, Francesco and Sarwate, Anand D and Maji, Subhransu and Jaakkola, Tommi S",
    title = "High dimensional inference with random maximum a-posteriori perturbations",
    journal = "IEEE Transactions on Information Theory",
    volume = "65",
    number = "10",
    pages = "6539--6560",
    year = "2019",
    publisher = "IEEE"
}

                    
                  

22. Gravity-based methods for heading computation in pedestrian dead reckoning. Adi Manos, Itzik Klein, Tamir Hazan. Sensors
[ PDF, BibTeX ]



                    
                    @article{manos2019gravity,
    author = "Manos, Adi and Klein, Itzik and Hazan, Tamir",
    title = "Gravity-based methods for heading computation in pedestrian dead reckoning",
    journal = "Sensors",
    volume = "19",
    number = "5",
    pages = "1170",
    year = "2019",
    publisher = "MDPI"
}

                    
                  

23. Factor graph attention. Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{schwartz2019factor,
    author = "Schwartz, Idan and Yu, Seunghak and Hazan, Tamir and Schwing, Alexander G",
    title = "Factor graph attention",
    booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
    pages = "2039--2048",
    year = "2019"
}

                    
                  

24. A simple baseline for audio-visual scene-aware dialog. Idan Schwartz, Alexander Schwing, Tamir Hazan. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{schwartz2019simple,
    author = "Schwartz, Idan and Schwing, Alexander G and Hazan, Tamir",
    title = "A simple baseline for audio-visual scene-aware dialog",
    booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
    pages = "12548--12558",
    year = "2019"
}

                    
                  

25. A formal approach to explainability. Lior Wolf, Tomer Galanti, Tamir Hazan. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
[ PDF, BibTeX ]



                    
                    @inproceedings{wolf2019formal,
    author = "Wolf, Lior and Galanti, Tomer and Hazan, Tamir",
    title = "A formal approach to explainability",
    booktitle = "Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society",
    pages = "255--261",
    year = "2019"
}

                    
                  

26. Perturbation based learning for structured NLP tasks with application to dependency parsing. Amichay Doitch, Ram Yazdi, Tamir Hazan, Roi Reichart. Transactions of the Association for Computational Linguistics
[ PDF, BibTeX ]



                    
                    @article{doitch2019perturbation,
    author = "Doitch, Amichay and Yazdi, Ram and Hazan, Tamir and Reichart, Roi",
    title = "Perturbation based learning for structured NLP tasks with application to dependency parsing",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "7",
    pages = "643--659",
    year = "2019",
    publisher = "MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info\textasciitilde …"
}

                    
                  

2018

27. Co-segmentation for space-time co-located collections. Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or. The Visual Computer
[ PDF, BibTeX ]



                    
                    @article{averbuch2018co,
    author = "Averbuch-Elor, Hadar and Kopf, Johannes and Hazan, Tamir and Cohen-Or, Daniel",
    title = "Co-segmentation for space-time co-located collections",
    journal = "The Visual Computer",
    volume = "34",
    pages = "1761--1772",
    year = "2018",
    publisher = "Springer Berlin Heidelberg"
}

                    
                  

28. Hinge-minimax learner for the ensemble of hyperplanes. Dolev Raviv, Tamir Hazan, Margarita Osadchy. The Journal of Machine Learning Research
[ PDF, BibTeX ]



                    
                    @article{raviv2018hinge,
    author = "Raviv, Dolev and Hazan, Tamir and Osadchy, Margarita",
    title = "Hinge-minimax learner for the ensemble of hyperplanes",
    journal = "The Journal of Machine Learning Research",
    volume = "19",
    number = "1",
    pages = "2517--2546",
    year = "2018",
    publisher = "JMLR. org"
}

                    
                  

29. Gravity direction estimation and heading determination for pedestrian navigation. Adi Manos, Itzik Klein, Tamir Hazan. 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
[ PDF, BibTeX ]



                    
                    @inproceedings{manos2018gravity,
    author = "Manos, Adi and Klein, Itzik and Hazan, Tamir",
    title = "Gravity direction estimation and heading determination for pedestrian navigation",
    booktitle = "2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)",
    pages = "206--212",
    year = "2018",
    organization = "IEEE"
}

                    
                  

30. LinkedResearch-LR: A Suggested Platform to Make Research Exponential. Rick Reis, Avi Salmon, Avital Binah-Pollak, Yael Dubinsky, Israel StepAhead, Tzahi Harari, Israel Effect-Tiv, Tamir Hazan, Orit Hazzan, Ronit Lis-Hacohen.
[ BibTeX ]



                    
                    @misc{reis2018linkedresearch,
    author = "Reis, Rick and Salmon, Avi and Binah-Pollak, Avital and Dubinsky, Yael and StepAhead, Israel and Harari, Tzahi and Effect-Tiv, Israel and Hazan, Tamir and Hazzan, Orit and Lis-Hacohen, Ronit",
    title = "LinkedResearch-LR: A Suggested Platform to Make Research Exponential",
    year = "2018",
    publisher = "Stanford University"
}

                    
                  

2017

31. High-order attention models for visual question answering. Idan Schwartz, Alexander Schwing, Tamir Hazan. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{schwartz2017high,
    author = "Schwartz, Idan and Schwing, Alexander and Hazan, Tamir",
    title = "High-order attention models for visual question answering",
    journal = "Advances in Neural Information Processing Systems",
    volume = "30",
    year = "2017"
}

                    
                  

32. Psychological forest: Predicting human behavior. Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz. Proceedings of the AAAI Conference on Artificial Intelligence
[ PDF, BibTeX ]



                    
                    @inproceedings{plonsky2017psychological,
    author = "Plonsky, Ori and Erev, Ido and Hazan, Tamir and Tennenholtz, Moshe",
    title = "Psychological forest: Predicting human behavior",
    booktitle = "Proceedings of the AAAI Conference on Artificial Intelligence",
    volume = "31",
    number = "1",
    year = "2017"
}

                    
                  

33. Tight bounds for bandit combinatorial optimization. Alon Cohen, Tamir Hazan, Tomer Koren. Conference on Learning Theory
[ PDF, BibTeX ]



                    
                    @inproceedings{cohen2017tight,
    author = "Cohen, Alon and Hazan, Tamir and Koren, Tomer",
    title = "Tight bounds for bandit combinatorial optimization",
    booktitle = "Conference on Learning Theory",
    pages = "629--642",
    year = "2017",
    organization = "PMLR"
}

                    
                  

2016

34. Multicuts and perturb \& map for probabilistic graph clustering. J{\"o}rg Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schn{\"o}rr. Journal of Mathematical Imaging and Vision
[ BibTeX ]



                    
                    @article{kappes2016multicuts,
    author = {Kappes, J{\"o}rg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Schn{\"o}rr, Christoph},
    title = "Multicuts and perturb \\& map for probabilistic graph clustering",
    journal = "Journal of Mathematical Imaging and Vision",
    volume = "56",
    pages = "221--237",
    year = "2016",
    publisher = "Springer US"
}

                    
                  

35. A theoretical framework for deep transfer learning. Tomer Galanti, Lior Wolf, Tamir Hazan. Information and Inference: A Journal of the IMA
[ PDF, BibTeX ]



                    
                    @article{galanti2016theoretical,
    author = "Galanti, Tomer and Wolf, Lior and Hazan, Tamir",
    title = "A theoretical framework for deep transfer learning",
    journal = "Information and Inference: A Journal of the IMA",
    volume = "5",
    number = "2",
    pages = "159--209",
    year = "2016",
    publisher = "Oxford University Press"
}

                    
                  

36. active congruency-Based reranking. Itai Ben, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar. Frontiers in Digital Humanities
[ PDF, BibTeX ]



                    
                    @article{ben2016active,
    author = "Ben Shalom, Itai and Levy, Noga and Wolf, Lior and Dershowitz, Nachum and Ben Shalom, Adiel and Shweka, Roni and Choueka, Yaacov and Hazan, Tamir and Bar, Yaniv",
    title = "active congruency-Based reranking",
    journal = "Frontiers in Digital Humanities",
    pages = "7",
    year = "2016",
    publisher = "Frontiers"
}

                    
                  

37. Perturbations, optimization, and statistics. Tamir Hazan, George Papandreou, Daniel Tarlow.
[ PDF, BibTeX ]



                    
                    @misc{hazan2016perturbations,
    author = "Hazan, Tamir and Papandreou, George and Tarlow, Daniel",
    title = "Perturbations, optimization, and statistics",
    year = "2016",
    publisher = "MIT Press"
}

                    
                  

38. Online learning with feedback graphs without the graphs. Alon Cohen, Tamir Hazan, Tomer Koren. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{cohen2016online,
    author = "Cohen, Alon and Hazan, Tamir and Koren, Tomer",
    title = "Online learning with feedback graphs without the graphs",
    booktitle = "International Conference on Machine Learning",
    pages = "811--819",
    year = "2016",
    organization = "PMLR"
}

                    
                  

39. Blending learning and inference in conditional random fields. Tamir Hazan, Alexander Schwing, Raquel Urtasun. The Journal of Machine Learning Research
[ PDF, BibTeX ]



                    
                    @article{hazan2016blending,
    author = "Hazan, Tamir and Schwing, Alexander G and Urtasun, Raquel",
    title = "Blending learning and inference in conditional random fields",
    journal = "The Journal of Machine Learning Research",
    volume = "17",
    number = "1",
    pages = "8305--8329",
    year = "2016",
    publisher = "JMLR. org"
}

                    
                  

40. Distributed algorithms for large scale learning and inference in graphical models. Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. IEEE transactions on pattern analysis and machine intelligence
[ PDF, BibTeX ]



                    
                    @article{schwing2016distributed,
    author = "Schwing, Alexander G and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Distributed algorithms for large scale learning and inference in graphical models",
    journal = "IEEE transactions on pattern analysis and machine intelligence",
    year = "2016",
    publisher = "IEEE"
}

                    
                  

41. Multicuts and Perturb \& MAP for Probabilistic Graph Clustering. J{\"o}rg Hendrik, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schn{\"o}rr. arXiv e-prints
[ BibTeX ]



                    
                    @article{hendrik2016multicuts,
    author = {Hendrik Kappes, J{\"o}rg and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Schn{\"o}rr, Christoph},
    title = "Multicuts and Perturb \\& MAP for Probabilistic Graph Clustering",
    journal = "arXiv e-prints",
    pages = "arXiv--1601",
    year = "2016"
}

                    
                  

42. Constraints Based Convex Belief Propagation. Alex Schwing, Kevin Gimpel, Tamir Hazan. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{schwing2016constraints,
    author = "Schwing, Alex and Gimpel, Kevin and Hazan, Tamir",
    title = "Constraints Based Convex Belief Propagation",
    journal = "Advances in Neural Information Processing Systems",
    volume = "29",
    year = "2016"
}

                    
                  

43. Constraints based convex belief propagation. Yaniv Tenzer, Alexander Schwing, Kevin Gimpel, Tamir Hazan. Proceedings of the 30th International Conference on Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @inproceedings{tenzer2016constraints,
    author = "Tenzer, Yaniv and Schwing, Alexander and Gimpel, Kevin and Hazan, Tamir",
    title = "Constraints based convex belief propagation",
    booktitle = "Proceedings of the 30th International Conference on Neural Information Processing Systems",
    pages = "2540--2548",
    year = "2016"
}

                    
                  

2015

44. Probabilistic correlation clustering and image partitioning using perturbed multicuts. J{\"o}rg Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schn{\"o}rr. Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31-June 4, 2015, Proceedings 5
[ PDF, BibTeX ]



                    
                    @inproceedings{kappes2015probabilistic,
    author = {Kappes, J{\"o}rg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Schn{\"o}rr, Christoph},
    title = "Probabilistic correlation clustering and image partitioning using perturbed multicuts",
    booktitle = "Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31-June 4, 2015, Proceedings 5",
    pages = "231--242",
    year = "2015",
    organization = "Springer International Publishing"
}

                    
                  

45. K-hyperplane hinge-minimax classifier. Margarita Osadchy, Tamir Hazan, Daniel Keren. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{osadchy2015k,
    author = "Osadchy, Margarita and Hazan, Tamir and Keren, Daniel",
    title = "K-hyperplane hinge-minimax classifier",
    booktitle = "International Conference on Machine Learning",
    pages = "1558--1566",
    year = "2015",
    organization = "PMLR"
}

                    
                  

46. Following the perturbed leader for online structured learning. Alon Cohen, Tamir Hazan. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{cohen2015following,
    author = "Cohen, Alon and Hazan, Tamir",
    title = "Following the perturbed leader for online structured learning",
    booktitle = "International Conference on Machine Learning",
    pages = "1034--1042",
    year = "2015",
    organization = "PMLR"
}

                    
                  

47. Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Tamir Hazan, Christoph Schn{\"o}rr. Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31-June 4, 2015, Proceedings
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2015probabilistic,
    author = {Hazan, Tamir and Schn{\"o}rr, Christoph},
    title = "Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts",
    booktitle = "Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31-June 4, 2015, Proceedings",
    volume = "9087",
    pages = "231",
    year = "2015",
    organization = "Springer"
}

                    
                  

48. Steps toward deep kernel methods from infinite neural networks. Tamir Hazan, Tommi Jaakkola. arXiv preprint arXiv:1508.05133
[ PDF, BibTeX ]



                    
                    @article{hazan2015steps,
    author = "Hazan, Tamir and Jaakkola, Tommi",
    title = "Steps toward deep kernel methods from infinite neural networks",
    journal = "arXiv preprint arXiv:1508.05133",
    year = "2015"
}

                    
                  

49. Efficient training of structured svms via soft constraints. Ofer Meshi, Nathan Srebro, Tamir Hazan. Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{meshi2015efficient,
    author = "Meshi, Ofer and Srebro, Nathan and Hazan, Tamir",
    title = "Efficient training of structured svms via soft constraints",
    booktitle = "Artificial Intelligence and Statistics",
    pages = "699--707",
    year = "2015",
    organization = "PMLR"
}

                    
                  

2014

50. On measure concentration of random maximum a-posteriori perturbations. Francesco Orabona, Tamir Hazan, Anand Sarwate, Tommi Jaakkola. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{orabona2014measure,
    author = "Orabona, Francesco and Hazan, Tamir and Sarwate, Anand and Jaakkola, Tommi",
    title = "On measure concentration of random maximum a-posteriori perturbations",
    booktitle = "International Conference on Machine Learning",
    pages = "432--440",
    year = "2014",
    organization = "PMLR"
}

                    
                  

51. Congruency-based reranking. Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{ben2014congruency,
    author = "Ben-Shalom, Itai and Levy, Noga and Wolf, Lior and Dershowitz, Nachum and Ben-Shalom, Adiel and Shweka, Roni and Choueka, Yaacov and Hazan, Tamir and Bar, Yaniv",
    title = "Congruency-based reranking",
    booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition",
    pages = "2099--2106",
    year = "2014"
}

                    
                  

52. Learning with maximum a-posteriori perturbation models. Andreea Gane, Tamir Hazan, Tommi Jaakkola. Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{gane2014learning,
    author = "Gane, Andreea and Hazan, Tamir and Jaakkola, Tommi",
    title = "Learning with maximum a-posteriori perturbation models",
    booktitle = "Artificial Intelligence and Statistics",
    pages = "247--256",
    year = "2014",
    organization = "PMLR"
}

                    
                  

53. Computational education using latent structured prediction. Tanja K{\"a}ser, Alexander Schwing, Tamir Hazan, Markus Gross. Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{kaser2014computational,
    author = {K{\"a}ser, Tanja and Schwing, Alexander and Hazan, Tamir and Gross, Markus},
    title = "Computational education using latent structured prediction",
    booktitle = "Artificial Intelligence and Statistics",
    pages = "540--548",
    year = "2014",
    organization = "PMLR"
}

                    
                  

54. Active boundary annotation using random map perturbations. Subhransu Maji, Tamir Hazan, Tommi Jaakkola. Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{maji2014active,
    author = "Maji, Subhransu and Hazan, Tamir and Jaakkola, Tommi",
    title = "Active boundary annotation using random map perturbations",
    booktitle = "Artificial Intelligence and Statistics",
    pages = "604--613",
    year = "2014",
    organization = "PMLR"
}

                    
                  

55. Globally convergent parallel MAP LP relaxation solver using the Frank-Wolfe algorithm. Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{schwing2014globally,
    author = "Schwing, Alexander and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Globally convergent parallel MAP LP relaxation solver using the Frank-Wolfe algorithm",
    booktitle = "International Conference on Machine Learning",
    pages = "487--495",
    year = "2014",
    organization = "PMLR"
}

                    
                  

2013

56. On sampling from the gibbs distribution with random maximum a-posteriori perturbations. Tamir Hazan, Subhransu Maji, Tommi Jaakkola. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{hazan2013sampling,
    author = "Hazan, Tamir and Maji, Subhransu and Jaakkola, Tommi",
    title = "On sampling from the gibbs distribution with random maximum a-posteriori perturbations",
    journal = "Advances in Neural Information Processing Systems",
    volume = "26",
    year = "2013"
}

                    
                  

57. Learning efficient random maximum a-posteriori predictors with non-decomposable loss functions. Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{hazan2013learning,
    author = "Hazan, Tamir and Maji, Subhransu and Keshet, Joseph and Jaakkola, Tommi",
    title = "Learning efficient random maximum a-posteriori predictors with non-decomposable loss functions",
    journal = "Advances in Neural Information Processing Systems",
    volume = "26",
    year = "2013"
}

                    
                  

2012

58. Continuous markov random fields for robust stereo estimation. Koichiro Yamaguchi, Tamir Hazan, David McAllester, Raquel Urtasun. Computer Vision--ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V 12
[ PDF, BibTeX ]



                    
                    @inproceedings{yamaguchi2012continuous,
    author = "Yamaguchi, Koichiro and Hazan, Tamir and McAllester, David and Urtasun, Raquel",
    title = "Continuous markov random fields for robust stereo estimation",
    booktitle = "Computer Vision--ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V 12",
    pages = "45--58",
    year = "2012",
    organization = "Springer Berlin Heidelberg"
}

                    
                  

59. Efficient structured prediction with latent variables for general graphical models. Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. Proceedings of the 29th International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{schwing2012efficient,
    author = "Schwing, Alexander and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Efficient structured prediction with latent variables for general graphical models",
    booktitle = "Proceedings of the 29th International Conference on Machine Learning",
    year = "2012"
}

                    
                  

60. On the partition function and random maximum a-posteriori perturbations. Tamir Hazan, Tommi Jaakkola. Proceedings of the 29th International Conference on Machine Learning
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2012partition,
    author = "Hazan, Tamir and Jaakkola, Tommi",
    title = "On the partition function and random maximum a-posteriori perturbations",
    booktitle = "Proceedings of the 29th International Conference on Machine Learning",
    year = "2012"
}

                    
                  

61. Globally convergent dual MAP LP relaxation solvers using Fenchel-Young margins. Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. Advances in Neural Information Processing Systems
[ PDF, BibTeX ]



                    
                    @article{schwing2012globally,
    author = "Schwing, Alex and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Globally convergent dual MAP LP relaxation solvers using Fenchel-Young margins",
    journal = "Advances in Neural Information Processing Systems",
    volume = "25",
    year = "2012"
}

                    
                  

62. Tightening fractional covering upper bounds on the partition function for high-order region graphs. Tamir Hazan, Jian Peng, Amnon Shashua. The 28th Conference on Uncertainty in Artificial Intelligence
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2012tightening,
    author = "Hazan, Tamir and Peng, Jian and Shashua, Amnon",
    title = "Tightening fractional covering upper bounds on the partition function for high-order region graphs",
    booktitle = "The 28th Conference on Uncertainty in Artificial Intelligence",
    year = "2012"
}

                    
                  

63. Approximate inference by intersecting semidefinite bound and local polytope. Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu. Artificial Intelligence and Statistics
[ PDF, BibTeX ]



                    
                    @inproceedings{peng2012approximate,
    author = "Peng, Jian and Hazan, Tamir and Srebro, Nathan and Xu, Jinbo",
    title = "Approximate inference by intersecting semidefinite bound and local polytope",
    booktitle = "Artificial Intelligence and Statistics",
    pages = "868--876",
    year = "2012",
    organization = "PMLR"
}

                    
                  

64. Distributed structured prediction for big data. Alexander Schwing, T Hazan, M Pollefeys, R Urtasun. NIPS workshop on big learning
[ BibTeX ]



                    
                    @inproceedings{schwing2012distributed,
    author = "Schwing, Alexander G and Hazan, T and Pollefeys, M and Urtasun, R",
    title = "Distributed structured prediction for big data",
    booktitle = "NIPS workshop on big learning",
    year = "2012"
}

                    
                  

2011

65. Distributed message passing for large scale graphical models. Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. CVPR 2011
[ PDF, BibTeX ]



                    
                    @inproceedings{schwing2011distributed,
    author = "Schwing, Alexander and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Distributed message passing for large scale graphical models",
    booktitle = "CVPR 2011",
    pages = "1833--1840",
    year = "2011",
    organization = "IEEE"
}

                    
                  

66. Large Scale Structured Prediction with Hidden Variables. Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun. The Learning Workshop
[ BibTeX ]



                    
                    @inproceedings{schwing2011large,
    author = "Schwing, Alexander and Hazan, Tamir and Pollefeys, Marc and Urtasun, Raquel",
    title = "Large Scale Structured Prediction with Hidden Variables",
    booktitle = "The Learning Workshop",
    year = "2011",
    organization = "The Learning Workshop"
}

                    
                  

67. Pac-bayesian approach for minimization of phoneme error rate. Joseph Keshet, David McAllester, Tamir Hazan. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
[ PDF, BibTeX ]



                    
                    @inproceedings{keshet2011pac,
    author = "Keshet, Joseph and McAllester, David and Hazan, Tamir",
    title = "Pac-bayesian approach for minimization of phoneme error rate",
    booktitle = "2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
    pages = "2224--2227",
    year = "2011",
    organization = "IEEE"
}

                    
                  

68. Convex max-product over compact sets for protein folding. Jian Peng, Tamir Hazan, Raquel Urtasun, David Mcallester. Proceedings of the 28th International Conference on Machine Learning (ICML-11)
[ PDF, BibTeX ]



                    
                    @inproceedings{peng2011convex,
    author = "Peng, Jian and Hazan, Tamir and Urtasun, Raquel and Mcallester, David A",
    title = "Convex max-product over compact sets for protein folding",
    booktitle = "Proceedings of the 28th International Conference on Machine Learning (ICML-11)",
    pages = "729--736",
    year = "2011"
}

                    
                  

2010

69. Norm-product belief propagation: Primal-dual message-passing for approximate inference. Tamir Hazan, Amnon Shashua. IEEE Transactions on Information Theory
[ PDF, BibTeX ]



                    
                    @article{hazan2010norm,
    author = "Hazan, Tamir and Shashua, Amnon",
    title = "Norm-product belief propagation: Primal-dual message-passing for approximate inference",
    journal = "IEEE Transactions on Information Theory",
    volume = "56",
    number = "12",
    pages = "6294--6316",
    year = "2010",
    publisher = "IEEE"
}

                    
                  

70. A primal-dual message-passing algorithm for approximated large scale structured prediction. Tamir Hazan, Raquel Urtasun. Advances in neural information processing systems
[ PDF, BibTeX ]



                    
                    @article{hazan2010primal,
    author = "Hazan, Tamir and Urtasun, Raquel",
    title = "A primal-dual message-passing algorithm for approximated large scale structured prediction",
    journal = "Advances in neural information processing systems",
    volume = "23",
    year = "2010"
}

                    
                  

71. Direct loss minimization for structured prediction. Tamir Hazan, Joseph Keshet, David McAllester. Advances in neural information processing systems
[ PDF, BibTeX ]



                    
                    @article{hazan2010direct,
    author = "Hazan, Tamir and Keshet, Joseph and McAllester, David",
    title = "Direct loss minimization for structured prediction",
    journal = "Advances in neural information processing systems",
    volume = "23",
    year = "2010"
}

                    
                  

2009

72. Algebraic Methods for Learning in Computer Vision. Tamir Hazan.
[ BibTeX ]



                    
                    @misc{hazan2009algebraic,
    author = "Hazan, Tamir",
    title = "Algebraic Methods for Learning in Computer Vision",
    year = "2009",
    booktitle = "",
    publisher = "Hebrew University"
}

                    
                  

2008

73. Convergent message-passing algorithms for inference over general graphs with convex free energies. Tamir Hazan, Amnon Shashua. The 24th Conference on Uncertainty in Artificial Intelligence
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2008convergent,
    author = "Hazan, Tamir and Shashua, Amnon",
    title = "Convergent message-passing algorithms for inference over general graphs with convex free energies",
    booktitle = "The 24th Conference on Uncertainty in Artificial Intelligence",
    year = "2008"
}

                    
                  

74. A parallel decomposition solver for svm: Distributed dual ascend using fenchel duality. Tamir Hazan, Amit Man, Amnon Shashua. 2008 IEEE Conference on Computer Vision and Pattern Recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2008parallel,
    author = "Hazan, Tamir and Man, Amit and Shashua, Amnon",
    title = "A parallel decomposition solver for svm: Distributed dual ascend using fenchel duality",
    booktitle = "2008 IEEE Conference on Computer Vision and Pattern Recognition",
    pages = "1--8",
    year = "2008",
    organization = "IEEE"
}

                    
                  

2007

75. Modeling appearances with low-rank svm. Lior Wolf, Hueihan Jhuang, Tamir Hazan. 2007 IEEE Conference on Computer Vision and Pattern Recognition
[ PDF, BibTeX ]



                    
                    @inproceedings{wolf2007modeling,
    author = "Wolf, Lior and Jhuang, Hueihan and Hazan, Tamir",
    title = "Modeling appearances with low-rank svm",
    booktitle = "2007 IEEE Conference on Computer Vision and Pattern Recognition",
    pages = "1--6",
    year = "2007",
    organization = "IEEE"
}

                    
                  

76. Plsa for sparse arrays with Tsallis pseudo-additive divergence: noise robustness and algorithm. Tamir Hazan, Roee Hardoon, Amnon Shashua. 2007 IEEE 11th International Conference on Computer Vision
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2007plsa,
    author = "Hazan, Tamir and Hardoon, Roee and Shashua, Amnon",
    title = "Plsa for sparse arrays with Tsallis pseudo-additive divergence: noise robustness and algorithm",
    booktitle = "2007 IEEE 11th International Conference on Computer Vision",
    pages = "1--8",
    year = "2007",
    organization = "IEEE"
}

                    
                  

77. Analysis of l2-loss for probabilistically valid factorizations under general additive noise. Tamir Hazan, Amnon Shashua. Technical Report 2007-13, The Hebrew University
[ PDF, BibTeX ]



                    
                    @article{hazan2007analysis,
    author = "Hazan, Tamir and Shashua, Amnon",
    title = "Analysis of l2-loss for probabilistically valid factorizations under general additive noise",
    journal = "Technical Report 2007-13, The Hebrew University",
    year = "2007"
}

                    
                  

78. An efficient algorithm for maximum Tsallis entropy using Fenchel-duality. Tamir Hazan, Amnon Shashua.
[ PDF, BibTeX ]



                    
                    @techreport{hazan2007efficient,
    author = "Hazan, Tamir and Shashua, Amnon",
    title = "An efficient algorithm for maximum Tsallis entropy using Fenchel-duality",
    year = "2007",
    journal = "",
    institution = "Technical report TR-110, The Hebrew University of Jerusalem, Israel"
}

                    
                  

2006

79. Multi-way clustering using super-symmetric non-negative tensor factorization. Amnon Shashua, Ron Zass, Tamir Hazan. Computer Vision--ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part IV 9
[ PDF, BibTeX ]



                    
                    @inproceedings{shashua2006multi,
    author = "Shashua, Amnon and Zass, Ron and Hazan, Tamir",
    title = "Multi-way clustering using super-symmetric non-negative tensor factorization",
    booktitle = "Computer Vision--ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part IV 9",
    pages = "595--608",
    year = "2006",
    organization = "Springer Berlin Heidelberg"
}

                    
                  

2005

80. Non-negative tensor factorization with applications to statistics and computer vision. Amnon Shashua, Tamir Hazan. Proceedings of the 22nd international conference on Machine learning
[ PDF, BibTeX ]



                    
                    @inproceedings{shashua2005non,
    author = "Shashua, Amnon and Hazan, Tamir",
    title = "Non-negative tensor factorization with applications to statistics and computer vision",
    booktitle = "Proceedings of the 22nd international conference on Machine learning",
    pages = "792--799",
    year = "2005"
}

                    
                  

81. Sparse image coding using a 3D non-negative tensor factorization. Tamir Hazan, Simon Polak, Amnon Shashua. Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
[ PDF, BibTeX ]



                    
                    @inproceedings{hazan2005sparse,
    author = "Hazan, Tamir and Polak, Simon and Shashua, Amnon",
    title = "Sparse image coding using a 3D non-negative tensor factorization",
    booktitle = "Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1",
    volume = "1",
    pages = "50--57",
    year = "2005",
    organization = "IEEE"
}

                    
                  

2004

82. Algebraic set kernels with application to inference over local image representations. Amnon Shashua, Tamir Hazan. Advances in neural information processing systems
[ PDF, BibTeX ]



                    
                    @article{shashua2004algebraic,
    author = "Shashua, Amnon and Hazan, Tamir",
    title = "Algebraic set kernels with application to inference over local image representations",
    journal = "Advances in neural information processing systems",
    volume = "17",
    year = "2004"
}