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We analyze and evaluate an online gradient descent algorithm with adaptive per-coordinate adjustment of learning rates.
Two problems with backpropagation and other steepest-descent learning procedures for networks
Richard S. Sutton · 1986
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Increased rates of convergence through learning rate adaptation
Robert A. Jacobs · 1988
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Online convex programming and generalized infinitesimal gradient ascent
Martin Zinkevich · 2003
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Solving large scale linear prediction problems using stochastic gradient descent algorithms
Tong Zhang · 2004
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Online passive-aggressive algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, and Yoram Singer · 2006
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Adaptive online gradient descent
Peter L. Bartlett, Elad Hazan, and Alexander Rakhlin · 2008
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The tradeoffs of large scale learning
Léon Bottou and Olivier Bousquet · 2008
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Confidence-weighted linear classification
Mark Drezde, Koby Crammer, and Fernando Pereira · 2008
Cited alongside, same era.
Extracting certainty from uncertainty: Regret bounded by variation in costs
Elad Hazan and Satyen Kale · 2008
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Adaptive regularization of weight vectors
Koby Crammer, Alex Kulesza, and Mark Drezde · 2009
Cited alongside, same era.
Efficient learning algorithms for changing environments
Elad Hazan and C. Seshadhri · 2009
Cited alongside, same era.
Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning
Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang, and Yuh-Jye Lee · 2009
Cited alongside, same era.
Identifying suspicious URLs: an application of large-scale online learning
Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker · 2009
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LIBSVM data sets
Chih-Chung Chang and Chih-Jen Lin · 2010
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Multi-domain sentiment dataset (v2.0)
Mark Dredze · 2010
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Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer · 2010
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Adaptive bound optimization for online convex optimization
H. Brendan McMahan and Matthew Streeter · 2010
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