Tamir Hazan

Layer Collaboration in the Forward-Forward Algorithm AAAI 2024 Learning Latent Partial Matchings with Gumbel-IPF Networks AISTATS 2024 Learning Constrained Structured Spaces with Application to Multi-Graph Matching AISTATS 2023 A Functional Information Perspective on Model Interpretation ICML 2022 Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images ICML 2022 Latent Space Explanation by Intervention AAAI 2022 Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies ICLR 2022 On the Importance of Gradient Norm in PAC-Bayesian Bounds NeurIPS 2022 Video and Text Matching With Conditioned Embeddings WACV 2022 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Visual Navigation With Spatial Attention CVPR 2021 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NeurIPS 2020 Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies NeurIPS 2020 A Simple Baseline for Audio-Visual Scene-Aware Dialog CVPR 2019 Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder NeurIPS 2019 Factor Graph Attention CVPR 2019 Hinge-Minimax Learner for the Ensemble of Hyperplanes JMLR 2018 High-Order Attention Models for Visual Question Answering NeurIPS 2017 Tight Bounds for Bandit Combinatorial Optimization COLT 2017 Blending Learning and Inference in Conditional Random Fields JMLR 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Online Learning with Feedback Graphs Without the Graphs ICML 2016 Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015 Following the Perturbed Leader for Online Structured Learning ICML 2015 K-hyperplane Hinge-Minimax Classifier ICML 2015 Active Boundary Annotation using Random MAP Perturbations AISTATS 2014 Computational Education using Latent Structured Prediction AISTATS 2014 Congruency-Based Reranking CVPR 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 Direct Loss Minimization for Structured Prediction NeurIPS 2010