BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × China
1 × Finland
1 × France
1 × Germany
1 × United Kingdom
5 × USA
Collaborated with:
S.Shalev-Shwartz A.Cotter B.Neyshabur A.Jalali J.D.M.Rennie T.S.Jaakkola O.Shamir T.Zhang J.Wang J.Evans J.Keshet X.Zhou M.Belkin Y.Singer G.Shakhnarovich S.T.Roweis S.Ben-David D.Loker K.Sridharan Y.Amit M.Fink S.Ullman
Talks about:
optim (3) use (3) collabor (2) approxim (2) approach (2) cluster (2) kernel (2) train (2) rank (2) svm (2)

Person: Nathan Srebro

DBLP DBLP: Srebro:Nathan

Contributed to:

ICML 20152015
ICML c2 20142014
KDD 20142014
ICML 20122012
KDD 20112011
ICML 20082008
ICML 20072007
ICML 20062006
ICML 20052005
ICML 20032003

Wrote 14 papers:

ICML-2015-NeyshaburS #on the #symmetry
On Symmetric and Asymmetric LSHs for Inner Product Search (BN, NS), pp. 1926–1934.
ICML-c2-2014-ShamirS0 #approximate #distributed #optimisation #using
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method (OS, NS, TZ), pp. 1000–1008.
KDD-2014-WangSE #collaboration #learning #permutation
Active collaborative permutation learning (JW, NS, JE), pp. 502–511.
ICML-2012-Ben-DavidLSS #classification #fault #using
Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss (SBD, DL, NS, KS), p. 16.
ICML-2012-CotterSS #kernel #probability
The Kernelized Stochastic Batch Perceptron (AC, SSS, NS), p. 98.
ICML-2012-JalaliS12a #clustering #optimisation #using
Clustering using Max-norm Constrained Optimization (AJ, NS), p. 205.
KDD-2011-CotterSK #approach #kernel
A GPU-tailored approach for training kernelized SVMs (AC, NS, JK), pp. 805–813.
KDD-2011-ZhouBS #approach #graph #ranking
An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.
ICML-2008-Shalev-ShwartzS #dependence #optimisation #set
SVM optimization: inverse dependence on training set size (SSS, NS), pp. 928–935.
ICML-2007-AmitFSU #classification #multi
Uncovering shared structures in multiclass classification (YA, MF, NS, SU), pp. 17–24.
ICML-2007-Shalev-ShwartzSS #named
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM (SSS, YS, NS), pp. 807–814.
ICML-2006-SrebroSR #clustering
An investigation of computational and informational limits in Gaussian mixture clustering (NS, GS, STR), pp. 865–872.
ICML-2005-RennieS #collaboration #matrix #performance #predict
Fast maximum margin matrix factorization for collaborative prediction (JDMR, NS), pp. 713–719.
ICML-2003-SrebroJ #approximate #rank
Weighted Low-Rank Approximations (NS, TSJ), pp. 720–727.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.