Amir Globerson
TitoloCitata daAnno
Metric learning by collapsing classes
A Globerson, ST Roweis
Advances in neural information processing systems, 451-458, 2006
7362006
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations
A Globerson, TS Jaakkola
Advances in neural information processing systems, 553-560, 2008
3512008
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
3102006
Tightening LP relaxations for MAP using message passing
D Sontag, T Meltzer, A Globerson, TS Jaakkola, Y Weiss
arXiv preprint arXiv:1206.3288, 2012
3062012
Euclidean embedding of co-occurrence data
A Globerson, G Chechik, F Pereira, N Tishby
Journal of Machine Learning Research 8 (Oct), 2265-2295, 2007
2342007
Introduction to dual composition for inference
D Sontag, A Globerson, T Jaakkola
Optimization for Machine Learning, 2011
2152011
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the Thirteenth International Conference on Artificialá…, 2010
2052010
Information bottleneck for Gaussian variables
G Chechik, A Globerson, N Tishby, Y Weiss
Journal of machine learning research 6 (Jan), 165-188, 2005
1992005
Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
M Collins, A Globerson, T Koo, X Carreras, PL Bartlett
Journal of Machine Learning Research 9 (Aug), 1775-1822, 2008
1812008
Globally optimal gradient descent for a convnet with gaussian inputs
A Brutzkus, A Globerson
Proceedings of the 34th International Conference on Machine Learning-Volumeá…, 2017
1602017
Convergent message passing algorithms-a unifying view
T Meltzer, A Globerson, Y Weiss
arXiv preprint arXiv:1205.2625, 2012
1192012
Sufficient dimensionality reduction
A Globerson, N Tishby
Journal of Machine Learning Research 3 (Mar), 1307-1331, 2003
1182003
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
1102017
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 Naturalá…, 2007
1072007
Convex learning with invariances
CH Teo, A Globerson, ST Roweis, AJ Smola
Advances in neural information processing systems, 1489-1496, 2008
1022008
Selective sharing for multilingual dependency parsing
T Naseem, R Barzilay, A Globerson
Proceedings of the 50th Annual Meeting of the Association for Computationalá…, 2012
912012
Learning efficiently with approximate inference via dual losses
O Meshi, D Sontag, T Jaakkola, A Globerson
International Machine Learning Society, 2010
782010
An LP View of the M-best MAP problem
M Fromer, A Globerson
Advances in Neural Information Processing Systems, 567-575, 2009
782009
An alternating direction method for dual MAP LP relaxation
O Meshi, A Globerson
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2011
662011
Approximate inference using planar graph decomposition
A Globerson, TS Jaakkola
Advances in Neural Information Processing Systems, 473-480, 2007
632007
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20