| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Roi Livni, Koby Crammer, Amir Globerson |
A Simple Geometric Interpretation of SVM using Stochastic Adversaries.  |
Journal of Machine Learning Research - Proceedings Track  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Uri Heinemann, Amir Globerson |
What Cannot be Learned with Bethe Approximations |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Ido Ginodi, Amir Globerson |
Gaussian Robust Classification |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ofer Meshi, Amir Globerson |
An Alternating Direction Method for Dual MAP LP Relaxation. |
ECML/PKDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Uri Heinemann, Amir Globerson |
What Cannot be Learned with Bethe Approximations. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Tommi Jaakkola, David Sontag, Amir Globerson, Marina Meila |
Learning Bayesian Network Structure using LP Relaxations. |
Journal of Machine Learning Research - Proceedings Track |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Globerson |
Learning Efficiently with Approximate Inference via Dual Losses. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | David Sontag, Ofer Meshi, Tommi Jaakkola, Amir Globerson |
More data means less inference: A pseudo-max approach to structured learning. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman |
Convexifying the Bethe Free Energy. |
UAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Talya Meltzer, Amir Globerson, Yair Weiss |
Convergent message passing algorithms - a unifying view. |
UAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Menachem Fromer, Amir Globerson |
An LP View of the M-best MAP problem. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett |
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks. |
Journal of Machine Learning Research |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | David Sontag, Talya Meltzer, Amir Globerson, Tommi Jaakkola, Yair Weiss |
Tightening LP Relaxations for MAP using Message Passing. |
UAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | David Sontag, Amir Globerson, Tommi Jaakkola |
Clusters and Coarse Partitions in LP Relaxations. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Sam T. Roweis |
Visualizing pairwise similarity via semidefinite programming. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby |
Euclidean Embedding of Co-occurrence Data. |
Journal of Machine Learning Research |
2007 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Tommi Jaakkola |
Approximate inference using conditional entropy decompositions. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins |
Structured Prediction Models via the Matrix-Tree Theorem. |
EMNLP-CoNLL |
2007 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Terry Koo, Xavier Carreras, Michael Collins |
Exponentiated gradient algorithms for log-linear structured prediction. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Amir Globerson, Tommi Jaakkola |
Convergent Propagation Algorithms via Oriented Trees. |
UAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola |
Convex Learning with Invariances. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Tommi Jaakkola |
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Sam T. Roweis |
Nightmare at test time: robust learning by feature deletion. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Koby Crammer, Amir Globerson |
Discriminative Learning via Semidefinite Probabilistic Models. |
UAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby |
Embedding Heterogeneous Data Using Statistical Models. |
AAAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Tommi Jaakkola |
Approximate inference using planar graph decomposition. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss |
Information Bottleneck for Gaussian Variables. |
Journal of Machine Learning Research |
2005 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Sam T. Roweis |
Metric Learning by Collapsing Classes. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Naftali Tishby |
The Minimum Information Principle for Discriminative Learning. |
UAI |
2004 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby |
Euclidean Embedding of Co-Occurrence Data. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Naftali Tishby |
Sufficient Dimensionality Reduction. |
Journal of Machine Learning Research |
2003 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Gal Chechik, Naftali Tishby |
Sufficient Dimensionality Reduction with Irrelevance Statistics. |
UAI |
2003 |
DBLP BibTeX RDF |
|
| 1 | Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss |
Information Bottleneck for Gaussian Variables. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Naftali Tishby |
Sufficient Dimensionality Reduction - A novel Analysis Method. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Amir Globerson, Naftali Tishby |
Most Informative Dimension Reduction. |
AAAI/IAAI |
2002 |
DBLP BibTeX RDF |
|
| 1 | Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, Israel Nelken, Naftali Tishby |
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
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