Amir Globerson
Cited by
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Metric learning by collapsing classes
A Globerson, S Roweis
Advances in neural information processing systems 18, 2005
Nightmare at test time: robust learning by feature deletion
A Globerson, S Roweis
Proceedings of the 23rd international conference on Machine learning, 353-360, 2006
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations
A Globerson, T Jaakkola
Advances in neural information processing systems 20, 2007
Tightening LP relaxations for MAP using message passing
D Sontag, T Meltzer, A Globerson, TS Jaakkola, Y Weiss
arXiv preprint arXiv:1206.3288, 2012
Euclidean embedding of co-occurrence data
A Globerson, G Chechik, F Pereira, N Tishby
Advances in neural information processing systems 17, 2004
Information bottleneck for Gaussian variables
G Chechik, A Globerson, N Tishby, Y Weiss
Advances in Neural Information Processing Systems 16, 2003
Globally optimal gradient descent for a convnet with gaussian inputs
A Brutzkus, A Globerson
International conference on machine learning, 605-614, 2017
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the Thirteenth International Conference on Artificial …, 2010
SGD learns over-parameterized networks that provably generalize on linearly separable data
A Brutzkus, A Globerson, E Malach, S Shalev-Shwartz
arXiv preprint arXiv:1710.10174, 2017
Introduction to dual composition for inference
D Sontag, A Globerson, T Jaakkola
Optimization for Machine Learning, 2011
Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
M Collins, A Globerson, T Koo, X Carreras Pérez, P Bartlett
Journal of Machine Learning Research 9, 1775-1822, 2008
Cross-lingual alignment of contextual word embeddings, with applications to zero-shot dependency parsing
T Schuster, O Ram, R Barzilay, A Globerson
arXiv preprint arXiv:1902.09492, 2019
Selective sharing for multilingual dependency parsing
T Naseem, R Barzilay, A Globerson
The Association for Computational Linguistics, 2012
Structured prediction models via the matrix-tree theorem
T Koo, A Globerson, X Carreras Pérez, M Collins
Joint Conference on Empirical Methods in Natural Language Processing and …, 2007
Convergent message passing algorithms-a unifying view
T Meltzer, A Globerson, Y Weiss
arXiv preprint arXiv:1205.2625, 2012
Sufficient dimensionality reduction
A Globerson, N Tishby
Journal of Machine Learning Research 3 (Mar), 1307-1331, 2003
Convex learning with invariances
C Teo, A Globerson, S Roweis, A Smola
Advances in neural information processing systems 20, 2007
Mapping images to scene graphs with permutation-invariant structured prediction
R Herzig, M Raboh, G Chechik, J Berant, A Globerson
Advances in Neural Information Processing Systems 31, 2018
Collective entity resolution with multi-focal attention
A Globerson, N Lazic, S Chakrabarti, A Subramanya, M Ringaard, ...
Coreference resolution with entity equalization
B Kantor, A Globerson
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
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