Tamir Hazan

According to our database1, Tamir Hazan authored at least 59 papers between 2004 and 2020.

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Bibliography

2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.
CoRR, 2020

Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization.
CoRR, 2020

Generalized Planning With Deep Reinforcement Learning.
CoRR, 2020

On the generalization of bayesian deep nets for multi-class classification.
CoRR, 2020

2019
High Dimensional Inference With Random Maximum A-Posteriori Perturbations.
IEEE Trans. Inf. Theory, 2019

Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing.
Trans. Assoc. Comput. Linguistics, 2019

Gravity-Based Methods for Heading Computation in Pedestrian Dead Reckoning.
Sensors, 2019

Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces.
CoRR, 2019

Direct Optimization through arg max for Discrete Variational Auto-Encoder.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Factor Graph Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Simple Baseline for Audio-Visual Scene-Aware Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Formal Approach to Explainability.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Co-segmentation for space-time co-located collections.
Vis. Comput., 2018

Hinge-Minimax Learner for the Ensemble of Hyperplanes.
J. Mach. Learn. Res., 2018

Gravity Direction Estimation and Heading Determination for Pedestrian Navigation.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

2017
High-Order Attention Models for Visual Question Answering.
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.
Proceedings of the 30th Conference on Learning Theory, 2017

Psychological Forest: Predicting Human Behavior.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Blending Learning and Inference in Conditional Random Fields.
J. Mach. Learn. Res., 2016

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.
J. Math. Imaging Vis., 2016

Active Congruency-Based Reranking.
Frontiers Digit. Humanit., 2016

Constraints Based Convex Belief Propagation.
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.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Steps Toward Deep Kernel Methods from Infinite Neural Networks.
CoRR, 2015

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

K-hyperplane Hinge-Minimax Classifier.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Following the Perturbed Leader for Online Structured Learning.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Training of Structured SVMs via Soft Constraints.
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.
Proceedings of the 31th International Conference on Machine Learning, 2014

On Measure Concentration of Random Maximum A-Posteriori Perturbations.
Proceedings of the 31th International Conference on Machine Learning, 2014

Congruency-Based Reranking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Active Boundary Annotation using Random MAP Perturbations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Computational Education using Latent Structured Prediction.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Learning with Maximum A-Posteriori Perturbation Models.
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.
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.
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.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficient Learning of Structured Predictors in General Graphical Models
CoRR, 2012

Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins.
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.
Proceedings of the 29th International Conference on Machine Learning, 2012

On the Partition Function and Random Maximum A-Posteriori Perturbations.
Proceedings of the 29th International Conference on Machine Learning, 2012

Continuous Markov Random Fields for Robust Stereo Estimation.
Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient structured prediction for 3D indoor scene understanding.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Convex Max-Product over Compact Sets for Protein Folding.
Proceedings of the 28th International Conference on Machine Learning, 2011

PAC-Bayesian approach for minimization of phoneme error rate.
Proceedings of the IEEE International Conference on Acoustics, 2011

Distributed message passing for large scale graphical models.
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.
IEEE Trans. Inf. Theory, 2010

Approximated Structured Prediction for Learning Large Scale Graphical Models
CoRR, 2010

Direct Loss Minimization for Structured Prediction.
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.
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

2008
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies.
Proceedings of the UAI 2008, 2008

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality.
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.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Modeling Appearances with Low-Rank SVM.
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.
Proceedings of the Computer Vision, 2006

2005
Non-negative tensor factorization with applications to statistics and computer vision.
Proceedings of the Machine Learning, 2005

Sparse Image Coding Using a 3D Non-Negative Tensor Factorization.
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.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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