| Document Date: 2013-03-25 14:07:10
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City Washington DC / Banff / / Company SIAM Journal / Neural Information Processing Systems / Cambridge University Press / MIT Press / Microsoft / / Country Canada / / Currency SGD / / / Facility Catholic University of Louvain / / IndustryTerm online algorithm∑is / Online Optimization Lin Xiao / Large scale online learning / sparse online learning / much more sparse solutions / iterative shrinkage-threshold algorithm / regularized online optimization / above regularized online optimization problem / sparse solution / online version / sparse solutions / stochastic gradient descent algorithms / online prediction / batch optimization solutions / online optimization problems / online optimization / online iteration / online algorithm / online optimization problem / online algorithms / closed-form solution / online setting / / MarketIndex set 10 / / Organization Cambridge University / MIT / Catholic University of Louvain / Technion / Center for Operations Research and Econometrics / / Person Lin Xiao / / / Position Y. Singer / and T. Chandra / / ProvinceOrState Alberta / Massachusetts / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / Technology online algorithm / three online algorithms / online algorithms / stochastic gradient descent algorithms / 2 Algorithm / dom / machine learning / iterative shrinkage-threshold algorithm / two online algorithms / / URL http /
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Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed]