Tamir Hazan
39 papers · 2010–2024 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(21)
π
Cross-Pollinator
(15)
π§
Keyword Pioneer
π¬
Deep Specialist
(10)
π
Keyword Champion
(6)
π
Grand Slam
π±
Topic Pioneer
π
Triple Crown
π
Trend Setter
π₯
Unstoppable
(13)
π
Century Club
(39)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(77)
Conferences
NIPS (12)
ICML (8)
AISTATS (7)
CVPR (4)
AAAI (2)
ICLR (2)
JMLR (2)
COLT (1)
WACV (1)
Top co-authors
Keywords
structured prediction
(9)
attention mechanism
(5)
graphical model
(4)
map inference
(4)
gibbs distribution
(3)
direct loss minimization
(3)
regret bound
(3)
log-sobolev inequality
(3)
multimodal learning
(3)
convex optimization
(3)
maximum a posteriori
(3)
online learning
(2)
computer vision
(2)
belief propagation
(2)
markov random field
(2)
message passing
(2)
linear programming
(2)
visual question answering
(2)
global convergence
(2)
fisher information
(2)
Papers
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
Video and Text Matching With Conditioned Embeddings
WACV 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
NIPS 2022
Latent Space Explanation by Intervention
AAAI 2022
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
ICLR 2022
A Functional Information Perspective on Model Interpretation
ICML 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
ICML 2022
Visual Navigation With Spatial Attention
CVPR 2021
Learning Generalized Gumbel-max Causal Mechanisms
NIPS 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
ICML 2021
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
ICLR 2021
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
NIPS 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
NIPS 2020
A Simple Baseline for Audio-Visual Scene-Aware Dialog
CVPR 2019
Factor Graph Attention
CVPR 2019
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder
NIPS 2019
Hinge-Minimax Learner for the Ensemble of Hyperplanes
JMLR 2018
Tight Bounds for Bandit Combinatorial Optimization
COLT 2017
High-Order Attention Models for Visual Question Answering
NIPS 2017
Blending Learning and Inference in Conditional Random Fields
JMLR 2016
Online Learning with Feedback Graphs Without the Graphs
ICML 2016
Constraints Based Convex Belief Propagation
NIPS 2016
Efficient Training of Structured SVMs via Soft Constraints
AISTATS 2015
K-hyperplane Hinge-Minimax Classifier
ICML 2015
Following the Perturbed Leader for Online Structured Learning
ICML 2015
Learning with Maximum A-Posteriori Perturbation Models
AISTATS 2014
Computational Education using Latent Structured Prediction
AISTATS 2014
Active Boundary Annotation using Random MAP Perturbations
AISTATS 2014
Congruency-Based Reranking
CVPR 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations
ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
ICML 2014
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
NIPS 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
NIPS 2013
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
NIPS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
AISTATS 2012
Direct Loss Minimization for Structured Prediction
NIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
NIPS 2010