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Travelled to:
1 × Australia
1 × China
1 × France
1 × Israel
1 × United Kingdom
3 × USA
Collaborated with:
E.Eban D.Sontag U.Heinemann X.Carreras S.T.Roweis N.Tishby S.Shalev-Shwartz E.Mezuman T.Roughgarden C.Yildirim A.Quattoni B.Balle O.Pele B.Taskar M.Werman A.Birnbaum O.Meshi T.S.Jaakkola T.Koo M.Collins R.Livni D.Lehavi S.Schein H.Nachlieli
Talks about:
predict (3) linear (3) learn (3) structur (2) sequenc (2) analysi (2) effici (2) infer (2) exponenti (1) dimension (1)

Person: Amir Globerson

DBLP DBLP: Globerson:Amir

Contributed to:

ICML 20152015
ICML c2 20142014
ICML c1 20132013
ICML 20122012
ICML 20102010
ICML 20072007
ICML 20062006
ICML 20022002

Wrote 11 papers:

ICML-2015-GlobersonRSY #how #predict #question
How Hard is Inference for Structured Prediction? (AG, TR, DS, CY), pp. 2181–2190.
ICML-c2-2014-EbanMG #classification
Discrete Chebyshev Classifiers (EE, EM, AG), pp. 1233–1241.
ICML-c2-2014-HeinemannG #modelling #visual notation
Inferning with High Girth Graphical Models (UH, AG), pp. 1260–1268.
ICML-c2-2014-QuattoniBCG #sequence
Spectral Regularization for Max-Margin Sequence Tagging (AQ, BB, XC, AG), pp. 1710–1718.
ICML-c1-2013-LivniLSNSG #analysis #component
Vanishing Component Analysis (RL, DL, SS, HN, SSS, AG), pp. 597–605.
ICML-c1-2013-PeleTGW #classification #performance
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification (OP, BT, AG, MW), pp. 205–213.
ICML-2012-EbanBSG #learning #online #predict #sequence
Learning the Experts for Online Sequence Prediction (EE, AB, SSS, AG), p. 38.
ICML-2010-MeshiSJG #approximate #learning
Learning Efficiently with Approximate Inference via Dual Losses (OM, DS, TSJ, AG), pp. 783–790.
ICML-2007-GlobersonKCC #algorithm #predict
Exponentiated gradient algorithms for log-linear structured prediction (AG, TK, XC, MC), pp. 305–312.
ICML-2006-GlobersonR #learning #robust
Nightmare at test time: robust learning by feature deletion (AG, STR), pp. 353–360.
ICML-2002-GlobersonT #analysis #novel #reduction
Sufficient Dimensionality Reduction — A novel Analysis Method (AG, NT), pp. 203–210.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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