Amir Globerson

Cited by

	All	Since 2016
Citations	6128	3052
h-index	36	27
i10-index	68	55

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2005200620072008200920102011201220132014201520162017201820192020202122 29 81 139 186 295 278 471 436 518 515 466 480 625 738 715 27

Co-authors

Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il
David SontagAssociate Professor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Ofer MeshiResearch Scientist at GoogleVerified email at google.com
Yair WeissProfessor of Computer Science, Hebrew UniversityVerified email at mail.huji.ac.il
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Jonathan BerantAssociate Professor, Tel-Aviv University, Research Scientist, Allen Institute for AIVerified email at cs.tau.ac.il
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Michael CollinsProfessor of Computer Science, Columbia University; Google NYCVerified email at cs.columbia.edu
Xavier CarrerasResearch Scientist, Artificial Intelligence Research Institute (IIIA-CSIC)Verified email at iiia.csic.es
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Nir RosenfeldTechnionVerified email at cs.technion.ac.il
Roi LivniTel Aviv UniversityVerified email at tauex.tau.ac.il
Talya MeltzerSpotifyVerified email at mail.huji.ac.il
Ami WieselHebrew University of Jerusalem, IsraelVerified email at mail.huji.ac.il
Elad EbanGoogleVerified email at google.com
Choon Hui TeoAmazonVerified email at amazon.com
Alex SmolaAmazon Web ServicesVerified email at smola.org
Marina MeilaUniversity of WashingtonVerified email at stat.washington.edu
Yuan ZhangGoogleVerified email at google.com
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu

Amir Globerson

Tel Aviv University

Verified email at post.tau.ac.il - Homepage

Machine Learning Graphical Models Optimization Natural Language Processing


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Metric learning by collapsing classes A Globerson, S Roweis Advances in neural information processing systems 18, 451-458, 2005	808	2005
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations A Globerson, T Jaakkola Advances in neural information processing systems 20, 553-560, 2007	393	2007
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	358	2006
Tightening LP relaxations for MAP using message passing D Sontag, T Meltzer, A Globerson, TS Jaakkola, Y Weiss arXiv preprint arXiv:1206.3288, 2012	343	2012
Euclidean embedding of co-occurrence data A Globerson, G Chechik, F Pereira, N Tishby	244	2007
Introduction to dual composition for inference D Sontag, A Globerson, T Jaakkola Optimization for Machine Learning, 2011	239	2011
Learning Bayesian network structure using LP relaxations T Jaakkola, D Sontag, A Globerson, M Meila Proceedings of the Thirteenth International Conference on Artificial …, 2010	236	2010
Globally optimal gradient descent for a convnet with gaussian inputs A Brutzkus, A Globerson International conference on machine learning, 605-614, 2017	224	2017
Information Bottleneck for Gaussian Variables. G Chechik, A Globerson, N Tishby, Y Weiss, P Dayan Journal of machine learning research 6 (1), 2005	218	2005
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	200	2008
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	154	2017
Sufficient dimensionality reduction A Globerson, N Tishby Journal of Machine Learning Research 3 (Mar), 1307-1331, 2003	132	2003
Convergent message passing algorithms-a unifying view T Meltzer, A Globerson, Y Weiss arXiv preprint arXiv:1205.2625, 2012	130	2012
Selective sharing for multilingual dependency parsing T Naseem, R Barzilay, A Globerson The Association for Computational Linguistics, 2012	128	2012
Structured prediction models via the matrix-tree theorem T Koo, A Globerson, X Carreras, M Collins Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	126	2007
Convex learning with invariances CH Teo, A Globerson, ST Roweis, AJ Smola Advances in neural information processing systems, 1489-1496, 2008	117	2008
Collective entity resolution with multi-focal attention A Globerson, N Lazic, S Chakrabarti, A Subramanya, M Ringaard, ...	93	2016
Learning efficiently with approximate inference via dual losses O Meshi, D Sontag, T Jaakkola, A Globerson International Machine Learning Society, 2010	88	2010
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	83	2019
An LP View of the M-best MAP problem M Fromer, A Globerson Advances in Neural Information Processing Systems 22, 567-575, 2009	82	2009

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