Tamir Hazan

According to our database, Tamir Hazan authored at least 77 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Layer Collaboration in the Forward-Forward Algorithm.

Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Constrained Structured Spaces with Application to Multi-Graph Matching.

Hedda Cohen Indelman, Tamir Hazan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Walking Direction Estimation Using Smartphone Sensors: A Deep Network-Based Framework.

Adi Manos, Tamir Hazan, Itzik Klein

IEEE Trans. Instrum. Meas., 2022

Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images.

Tom Ron, Michal Weiler-Sagie, Tamir Hazan

CoRR, 2022

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, 2022

On the Importance of Gradient Norm in PAC-Bayesian Bounds.

Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images.

Tom Ron, Tamir Hazan

Proceedings of the International Conference on Machine Learning, 2022

A Functional Information Perspective on Model Interpretation.

Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan

Proceedings of the International Conference on Machine Learning, 2022

Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies.

Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Latent Space Explanation by Intervention.

Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Mixing between the Cross Entropy and the Expectation Loss Terms.

Barak Battash, Lior Wolf, Tamir Hazan

CoRR, 2021

Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy.

Bronya Roni Chernyak, Bhiksha Raj, Tamir Hazan, Joseph Keshet

CoRR, 2021

Learning Generalized Gumbel-max Causal Mechanisms.

Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization.

Hedda Cohen Indelman, Tamir Hazan

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Visual Navigation With Spatial Attention.

Bar Mayo, Tamir Hazan, Ayellet Tal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Stochastic proximal linear method for structured non-convex problems.

Tamir Hazan, Shoham Sabach, Sergey Voldman

Optim. Methods Softw., 2020

Generalized Planning With Deep Reinforcement Learning.

Or Rivlin, Tamir Hazan, Erez Karpas

CoRR, 2020

On the generalization of bayesian deep nets for multi-class classification.

Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan

CoRR, 2020

Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces.

Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies.

Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Equalizing Data Science Curriculum for Computer Science Pupils.

Koby Mike, Tamir Hazan, Orit Hazzan

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

2019

High Dimensional Inference With Random Maximum A-Posteriori Perturbations.

Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola

IEEE Trans. Inf. Theory, 2019

Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing.

Amichay Doitch, Ram Yazdi, Tamir Hazan, Roi Reichart

Trans. Assoc. Comput. Linguistics, 2019

Gravity-Based Methods for Heading Computation in Pedestrian Dead Reckoning.

Adi Manos, Itzik Klein, Tamir Hazan

Sensors, 2019

Direct Optimization through arg max for Discrete Variational Auto-Encoder.

Guy Lorberbom, Tommi S. Jaakkola, Andreea Gane, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Factor Graph Attention.

Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Simple Baseline for Audio-Visual Scene-Aware Dialog.

Idan Schwartz, Alexander G. Schwing, Tamir Hazan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Formal Approach to Explainability.

Lior Wolf, Tomer Galanti, Tamir Hazan

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Co-segmentation for space-time co-located collections.

Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or

Vis. Comput., 2018

Hinge-Minimax Learner for the Ensemble of Hyperplanes.

Dolev Raviv, Tamir Hazan, Margarita Osadchy

J. Mach. Learn. Res., 2018

Gravity Direction Estimation and Heading Determination for Pedestrian Navigation.

Adi Manos, Itzik Klein, Tamir Hazan

Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

2017

High-Order Attention Models for Visual Question Answering.

Idan Schwartz, Alexander G. Schwing, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tight Bounds for Bandit Combinatorial Optimization.

Alon Cohen, Tamir Hazan, Tomer Koren

Proceedings of the 30th Conference on Learning Theory, 2017

Psychological Forest: Predicting Human Behavior.

Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Blending Learning and Inference in Conditional Random Fields.

Tamir Hazan, Alexander G. Schwing, Raquel Urtasun

J. Mach. Learn. Res., 2016

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

J. Math. Imaging Vis., 2016

Active Congruency-Based Reranking.

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

Frontiers Digit. Humanit., 2016

Constraints Based Convex Belief Propagation.

Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online Learning with Feedback Graphs Without the Graphs.

Alon Cohen, Tamir Hazan, Tomer Koren

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Steps Toward Deep Kernel Methods from Infinite Neural Networks.

Tamir Hazan, Tommi S. Jaakkola

CoRR, 2015

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

K-hyperplane Hinge-Minimax Classifier.

Margarita Osadchy, Tamir Hazan, Daniel Keren

Proceedings of the 32nd International Conference on Machine Learning, 2015

Following the Perturbed Leader for Online Structured Learning.

Alon Cohen, Tamir Hazan

Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Training of Structured SVMs via Soft Constraints.

Ofer Meshi, Nathan Srebro, Tamir Hazan

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm.

Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

Proceedings of the 31th International Conference on Machine Learning, 2014

On Measure Concentration of Random Maximum A-Posteriori Perturbations.

Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola

Proceedings of the 31th International Conference on Machine Learning, 2014

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 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Active Boundary Annotation using Random MAP Perturbations.

Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Computational Education using Latent Structured Prediction.

Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Learning with Maximum A-Posteriori Perturbation Models.

Andreea Gane, Tamir Hazan, Tommi S. Jaakkola

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions.

Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations.

Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Approximate Inference by Intersecting Semidefinite Bound and Local Polytope.

Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficient Learning of Structured Predictors in General Graphical Models

Tamir Hazan, Raquel Urtasun

CoRR, 2012

Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs.

Tamir Hazan, Jian Peng, Amnon Shashua

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins.

Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Structured Prediction with Latent Variables for General Graphical Models.

Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

Proceedings of the 29th International Conference on Machine Learning, 2012

On the Partition Function and Random Maximum A-Posteriori Perturbations.

Tamir Hazan, Tommi S. Jaakkola

Proceedings of the 29th International Conference on Machine Learning, 2012

Continuous Markov Random Fields for Robust Stereo Estimation.

Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient structured prediction for 3D indoor scene understanding.

Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Convex Max-Product over Compact Sets for Protein Folding.

Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun

Proceedings of the 28th International Conference on Machine Learning, 2011

PAC-Bayesian approach for minimization of phoneme error rate.

Joseph Keshet, David A. McAllester, Tamir Hazan

Proceedings of the IEEE International Conference on Acoustics, 2011

Distributed message passing for large scale graphical models.

Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference.

Tamir Hazan, Amnon Shashua

IEEE Trans. Inf. Theory, 2010

Approximated Structured Prediction for Learning Large Scale Graphical Models

Tamir Hazan, Raquel Urtasun

CoRR, 2010

Direct Loss Minimization for Structured Prediction.

David A. McAllester, Tamir Hazan, Joseph Keshet

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction.

Tamir Hazan, Raquel Urtasun

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Algebraic methods for learning in computer vision (שיטות אלגבריות ללמידה בראייה ממוחשבת.).

Tamir Hazan

PhD thesis, 2009

2008

Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies.

Tamir Hazan, Amnon Shashua

Proceedings of the UAI 2008, 2008

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality.

Tamir Hazan, Amit Man, Amnon Shashua

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm.

Tamir Hazan, Roee Hardoon, Amnon Shashua

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Modeling Appearances with Low-Rank SVM.

Lior Wolf, Hueihan Jhuang, Tamir Hazan

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization.

Amnon Shashua, Ron Zass, Tamir Hazan

Proceedings of the Computer Vision, 2006

2005

Non-negative tensor factorization with applications to statistics and computer vision.

Amnon Shashua, Tamir Hazan

Proceedings of the Machine Learning, 2005

Sparse Image Coding Using a 3D Non-Negative Tensor Factorization.

Tamir Hazan, Simon Polak, Amnon Shashua

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Algebraic Set Kernels with Application to Inference Over Local Image Representations.

Amnon Shashua, Tamir Hazan

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004