default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTamir Hazan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c58]Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
Layer Collaboration in the Forward-Forward Algorithm. AAAI 2024: 14141-14148- [c57]Hedda Cohen Indelman, Tamir Hazan:
Learning Latent Partial Matchings with Gumbel-IPF Networks. AISTATS 2024: 1513-1521 - [i37]Hedda Cohen Indelman, Tamir Hazan:
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions. CoRR abs/2406.02180 (2024) - 2023
- [c56]Hedda Cohen Indelman, Tamir Hazan:
Learning Constrained Structured Spaces with Application to Multi-Graph Matching. AISTATS 2023: 2589-2602 - [i36]Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
Layer Collaboration in the Forward-Forward Algorithm. CoRR abs/2305.12393 (2023) - 2022
- [j11]Adi Manos
, Tamir Hazan, Itzik Klein:
Walking Direction Estimation Using Smartphone Sensors: A Deep Network-Based Framework. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c55]Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. AAAI 2022: 679-687 - [c54]Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan:
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. ICLR 2022 - [c53]Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan:
A Functional Information Perspective on Model Interpretation. ICML 2022: 7266-7278 - [c52]Tom Ron, Tamir Hazan:
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. ICML 2022: 18754-18769 - [c51]Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
On the Importance of Gradient Norm in PAC-Bayesian Bounds. NeurIPS 2022 - [c50]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. WACV 2022: 478-487 - [i35]Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan:
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. CoRR abs/2205.01324 (2022) - [i34]Tom Ron, Michal Weiler-Sagie, Tamir Hazan:
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images. CoRR abs/2206.02761 (2022) - [i33]Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan:
A Functional Information Perspective on Model Interpretation. CoRR abs/2206.05700 (2022) - [i32]Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
On the Importance of Gradient Norm in PAC-Bayesian Bounds. CoRR abs/2210.06143 (2022) - 2021
- [c49]Bar Mayo, Tamir Hazan, Ayellet Tal:
Visual Navigation With Spatial Attention. CVPR 2021: 16898-16907 - [c48]Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR 2021 - [c47]Hedda Cohen Indelman, Tamir Hazan:
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. ICML 2021: 4585-4595 - [c46]Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan:
Learning Generalized Gumbel-max Causal Mechanisms. NeurIPS 2021: 26792-26803 - [i31]Bronya Roni Chernyak, Bhiksha Raj, Tamir Hazan, Joseph Keshet:
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy. CoRR abs/2103.08265 (2021) - [i30]Bar Mayo, Tamir Hazan, Ayellet Tal:
Visual Navigation with Spatial Attention. CoRR abs/2104.09807 (2021) - [i29]Barak Battash, Lior Wolf, Tamir Hazan:
Mixing between the Cross Entropy and the Expectation Loss Terms. CoRR abs/2109.05635 (2021) - [i28]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. CoRR abs/2110.11298 (2021) - [i27]Guy Lorberbom, Daniel D. Johnson, Chris J. Maddison, Daniel Tarlow, Tamir Hazan:
Learning Generalized Gumbel-max Causal Mechanisms. CoRR abs/2111.06888 (2021) - [i26]Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. CoRR abs/2112.04895 (2021) - 2020
- [j10]Tamir Hazan, Shoham Sabach, Sergey Voldman:
Stochastic proximal linear method for structured non-convex problems. Optim. Methods Softw. 35(5): 921-937 (2020) - [c45]Koby Mike, Tamir Hazan, Orit Hazzan:
Equalizing Data Science Curriculum for Computer Science Pupils. Koli Calling 2020: 20:1-20:5 - [c44]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. NeurIPS 2020 - [c43]Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow:
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces. NeurIPS 2020 - [i25]Lior Wolf, Tomer Galanti, Tamir Hazan:
A Formal Approach to Explainability. CoRR abs/2001.05207 (2020) - [i24]Yossi Adi, Yaniv Nemcovsky, Alexander G. Schwing, Tamir Hazan:
On the generalization of bayesian deep nets for multi-class classification. CoRR abs/2002.09866 (2020) - [i23]Or Rivlin, Tamir Hazan, Erez Karpas:
Generalized Planning With Deep Reinforcement Learning. CoRR abs/2005.02305 (2020) - [i22]Hedda Cohen Indelman, Tamir Hazan:
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization. CoRR abs/2007.05724 (2020) - [i21]Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR abs/2007.07298 (2020) - [i20]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. CoRR abs/2010.10802 (2020)
2010 – 2019
- 2019
- [j9]Adi Manos, Itzik Klein, Tamir Hazan:
Gravity-Based Methods for Heading Computation in Pedestrian Dead Reckoning. Sensors 19(5): 1170 (2019) - [j8]Amichay Doitch, Ram Yazdi, Tamir Hazan, Roi Reichart:
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing. Trans. Assoc. Comput. Linguistics 7: 643-659 (2019) - [j7]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory 65(10): 6539-6560 (2019) - [c42]Lior Wolf, Tomer Galanti, Tamir Hazan:
A Formal Approach to Explainability. AIES 2019: 255-261 - [c41]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CVPR 2019: 2039-2048 - [c40]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CVPR 2019: 12548-12558 - [c39]Guy Lorberbom, Tommi S. Jaakkola, Andreea Gane, Tamir Hazan:
Direct Optimization through arg max for Discrete Variational Auto-Encoder. NeurIPS 2019: 6200-6211 - [i19]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CoRR abs/1904.05876 (2019) - [i18]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CoRR abs/1904.05880 (2019) - [i17]Guy Lorberbom, Chris J. Maddison, Nicolas Heess, Tamir Hazan, Daniel Tarlow:
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces. CoRR abs/1906.06062 (2019) - 2018
- [j6]Dolev Raviv, Tamir Hazan, Margarita Osadchy:
Hinge-Minimax Learner for the Ensemble of Hyperplanes. J. Mach. Learn. Res. 19: 62:1-62:30 (2018) - [j5]Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or:
Co-segmentation for space-time co-located collections. Vis. Comput. 34(12): 1761-1772 (2018) - [c38]Adi Manos, Itzik Klein, Tamir Hazan:
Gravity Direction Estimation and Heading Determination for Pedestrian Navigation. IPIN 2018: 206-212 - [i16]Guy Lorberbom, Andreea Gane, Tommi S. Jaakkola, Tamir Hazan:
Direct Optimization through arg max for Discrete Variational Auto-Encoder. CoRR abs/1806.02867 (2018) - 2017
- [c37]Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz:
Psychological Forest: Predicting Human Behavior. AAAI 2017: 656-662 - [c36]Alon Cohen, Tamir Hazan, Tomer Koren:
Tight Bounds for Bandit Combinatorial Optimization. COLT 2017: 629-642 - [c35]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. NIPS 2017: 3664-3674 - [i15]Hadar Averbuch-Elor, Johannes Kopf, Tamir Hazan, Daniel Cohen-Or:
Co-segmentation for Space-Time Co-located Collections. CoRR abs/1701.08931 (2017) - [i14]Alon Cohen, Tamir Hazan, Tomer Koren:
Tight Bounds for Bandit Combinatorial Optimization. CoRR abs/1702.07539 (2017) - [i13]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. CoRR abs/1711.04323 (2017) - 2016
- [j4]Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar:
Active Congruency-Based Reranking. Frontiers Digit. Humanit. 3: 7 (2016) - [j3]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56(2): 221-237 (2016) - [j2]Tamir Hazan, Alexander G. Schwing, Raquel Urtasun:
Blending Learning and Inference in Conditional Random Fields. J. Mach. Learn. Res. 17: 237:1-237:25 (2016) - [c34]Alon Cohen, Tamir Hazan, Tomer Koren:
Online Learning with Feedback Graphs Without the Graphs. ICML 2016: 811-819 - [c33]Yaniv Tenzer, Alexander G. Schwing, Kevin Gimpel, Tamir Hazan:
Constraints Based Convex Belief Propagation. NIPS 2016: 2532-2540 - [i12]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR abs/1601.02088 (2016) - [i11]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR abs/1602.03571 (2016) - [i10]Alon Cohen, Tamir Hazan, Tomer Koren:
Online Learning with Feedback Graphs Without the Graphs. CoRR abs/1605.07018 (2016) - 2015
- [c32]Ofer Meshi, Nathan Srebro, Tamir Hazan:
Efficient Training of Structured SVMs via Soft Constraints. AISTATS 2015 - [c31]Alon Cohen, Tamir Hazan:
Following the Perturbed Leader for Online Structured Learning. ICML 2015: 1034-1042 - [c30]Margarita Osadchy, Tamir Hazan, Daniel Keren:
K-hyperplane Hinge-Minimax Classifier. ICML 2015: 1558-1566 - [c29]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM 2015: 231-242 - [i9]Tamir Hazan, Tommi S. Jaakkola:
Steps Toward Deep Kernel Methods from Infinite Neural Networks. CoRR abs/1508.05133 (2015) - 2014
- [c28]Andreea Gane, Tamir Hazan, Tommi S. Jaakkola:
Learning with Maximum A-Posteriori Perturbation Models. AISTATS 2014: 247-256 - [c27]Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross:
Computational Education using Latent Structured Prediction. AISTATS 2014: 540-548 - [c26]Subhransu Maji, Tamir Hazan, Tommi S. Jaakkola:
Active Boundary Annotation using Random MAP Perturbations. AISTATS 2014: 604-613 - [c25]Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar:
Congruency-Based Reranking. CVPR 2014: 2107-2114 - [c24]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML 2014: 432-440 - [c23]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. ICML 2014: 487-495 - 2013
- [c22]Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola:
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. NIPS 2013: 1268-1276 - [c21]Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi S. Jaakkola:
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions. NIPS 2013: 1887-1895 - [i8]Tamir Hazan, Subhransu Maji, Tommi S. Jaakkola:
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations. CoRR abs/1309.7598 (2013) - [i7]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR abs/1310.4227 (2013) - 2012
- [c20]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient structured prediction for 3D indoor scene understanding. CVPR 2012: 2815-2822 - [c19]Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Continuous Markov Random Fields for Robust Stereo Estimation. ECCV (5) 2012: 45-58 - [c18]Tamir Hazan, Tommi S. Jaakkola:
On the Partition Function and Random Maximum A-Posteriori Perturbations. ICML 2012 - [c17]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient Structured Prediction with Latent Variables for General Graphical Models. ICML 2012 - [c16]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. NIPS 2012: 2393-2401 - [c15]Tamir Hazan, Jian Peng, Amnon Shashua:
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. UAI 2012: 356-366 - [c14]Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu:
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope. AISTATS 2012: 868-876 - [i6]Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Continuous Markov Random Fields for Robust Stereo Estimation. CoRR abs/1204.1393 (2012) - [i5]Tamir Hazan, Amnon Shashua:
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. CoRR abs/1206.3262 (2012) - [i4]Tamir Hazan, Raquel Urtasun:
Efficient Learning of Structured Predictors in General Graphical Models. CoRR abs/1210.2346 (2012) - [i3]Tamir Hazan, Jian Peng, Amnon Shashua:
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. CoRR abs/1210.4881 (2012) - 2011
- [c13]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Distributed message passing for large scale graphical models. CVPR 2011: 1833-1840 - [c12]Joseph Keshet, David A. McAllester, Tamir Hazan:
PAC-Bayesian approach for minimization of phoneme error rate. ICASSP 2011: 2224-2227 - [c11]Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Convex Max-Product over Compact Sets for Protein Folding. ICML 2011: 729-736 - 2010
- [j1]Tamir Hazan, Amnon Shashua:
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. IEEE Trans. Inf. Theory 56(12): 6294-6316 (2010) - [c10]Tamir Hazan, Raquel Urtasun:
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. NIPS 2010: 838-846 - [c9]David A. McAllester, Tamir Hazan, Joseph Keshet:
Direct Loss Minimization for Structured Prediction. NIPS 2010: 1594-1602 - [i2]Tamir Hazan, Raquel Urtasun:
Approximated Structured Prediction for Learning Large Scale Graphical Models. CoRR abs/1006.2899 (2010)
2000 – 2009
- 2009
- [b1]Tamir Hazan:
Algebraic methods for learning in computer vision (שיטות אלגבריות ללמידה בראייה ממוחשבת.). Hebrew University of Jerusalem, Israel, 2009 - [i1]Tamir Hazan, Amnon Shashua:
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. CoRR abs/0903.3127 (2009) - 2008
- [c8]Tamir Hazan, Amit Man, Amnon Shashua:
A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality. CVPR 2008 - [c7]Tamir Hazan, Amnon Shashua:
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. UAI 2008: 264-273 - 2007
- [c6]Lior Wolf, Hueihan Jhuang, Tamir Hazan:
Modeling Appearances with Low-Rank SVM. CVPR 2007 - [c5]Tamir Hazan, Roee Hardoon, Amnon Shashua:
pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. ICCV 2007: 1-8 - 2006
- [c4]Amnon Shashua, Ron Zass, Tamir Hazan:
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization. ECCV (4) 2006: 595-608 - 2005
- [c3]Tamir Hazan, Simon Polak, Amnon Shashua:
Sparse Image Coding Using a 3D Non-Negative Tensor Factorization. ICCV 2005: 50-57 - [c2]Amnon Shashua, Tamir Hazan:
Non-negative tensor factorization with applications to statistics and computer vision. ICML 2005: 792-799 - 2004
- [c1]Amnon Shashua, Tamir Hazan:
Algebraic Set Kernels with Application to Inference Over Local Image Representations. NIPS 2004: 1257-1264
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:40 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
