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large scale learning
large scale learning
9 papers
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Co-occurring keywords
support vector machine
(978)
quasi-newton method
(60)
hinge loss
(49)
kernel methods
(1097)
stochastic gradient descent
(1091)
linear svm
(11)
second-order optimization
(93)
linear classifier
(120)
random projection
(145)
optimization algorithm
(148)
Papers
FALKON: An Optimal Large Scale Kernel Method
NIPS 2017
Spatial Decompositions for Large Scale SVMs
AISTATS 2017
Adaptive Sampling for Large Scale Boosting
JMLR 2014
Discrete Chebyshev Classifiers
ICML 2014
Erratum: SGDQN is Less Careful than Expected
JMLR 2010
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
JMLR 2009
A Randomized Algorithm for Large Scale Support Vector Learning
NIPS 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets"
JMLR 2007
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
JMLR 2005
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