2008 |
19 | EE | David Sontag,
Amir Globerson,
Tommi Jaakkola:
Clusters and Coarse Partitions in LP Relaxations.
NIPS 2008: 1537-1544 |
18 | EE | David Sontag,
Talya Meltzer,
Amir Globerson,
Tommi Jaakkola,
Yair Weiss:
Tightening LP Relaxations for MAP using Message Passing.
UAI 2008: 503-510 |
2007 |
17 | EE | Amir Globerson,
Terry Koo,
Xavier Carreras,
Michael Collins:
Exponentiated gradient algorithms for log-linear structured prediction.
ICML 2007: 305-312 |
16 | EE | Choon Hui Teo,
Amir Globerson,
Sam T. Roweis,
Alex J. Smola:
Convex Learning with Invariances.
NIPS 2007 |
15 | EE | Amir Globerson,
Tommi Jaakkola:
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations.
NIPS 2007 |
2006 |
14 | | Amir Globerson,
Gal Chechik,
Fernando Pereira,
Naftali Tishby:
Embedding Heterogeneous Data Using Statistical Models.
AAAI 2006 |
13 | EE | Amir Globerson,
Sam T. Roweis:
Nightmare at test time: robust learning by feature deletion.
ICML 2006: 353-360 |
12 | EE | Amir Globerson,
Tommi Jaakkola:
Approximate inference using planar graph decomposition.
NIPS 2006: 473-480 |
11 | EE | Koby Crammer,
Amir Globerson:
Discriminative Learning via Semidefinite Probabilistic Models.
UAI 2006 |
2005 |
10 | EE | Amir Globerson,
Sam T. Roweis:
Metric Learning by Collapsing Classes.
NIPS 2005 |
9 | EE | Gal Chechik,
Amir Globerson,
Naftali Tishby,
Yair Weiss:
Information Bottleneck for Gaussian Variables.
Journal of Machine Learning Research 6: 165-188 (2005) |
2004 |
8 | EE | Amir Globerson,
Gal Chechik,
Fernando C. Pereira,
Naftali Tishby:
Euclidean Embedding of Co-Occurrence Data.
NIPS 2004 |
7 | EE | Amir Globerson,
Naftali Tishby:
The Minimum Information Principle for Discriminative Learning.
UAI 2004: 193-200 |
2003 |
6 | EE | Gal Chechik,
Amir Globerson,
Naftali Tishby,
Yair Weiss:
Information Bottleneck for Gaussian Variables.
NIPS 2003 |
5 | | Amir Globerson,
Gal Chechik,
Naftali Tishby:
Sufficient Dimensionality Reduction with Irrelevance Statistics.
UAI 2003: 281-288 |
4 | EE | Amir Globerson,
Naftali Tishby:
Sufficient Dimensionality Reduction.
Journal of Machine Learning Research 3: 1307-1331 (2003) |
2002 |
3 | | Amir Globerson,
Naftali Tishby:
Most Informative Dimension Reduction.
AAAI/IAAI 2002: 1024-1029 |
2 | | Amir Globerson,
Naftali Tishby:
Sufficient Dimensionality Reduction - A novel Analysis Method.
ICML 2002: 203-210 |
2001 |
1 | EE | 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: 173-180 |