Coordinate descent

Results: 43



#Item
21A Block Coordinate Gradient Descent Method for Regularized Convex Separable Optimization and Covariance Selection Sangwoon Yun Computational Sciences Korea Institute for Advanced Study

A Block Coordinate Gradient Descent Method for Regularized Convex Separable Optimization and Covariance Selection Sangwoon Yun Computational Sciences Korea Institute for Advanced Study

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Source URL: newton.kias.re.kr

Language: English - Date: 2013-01-31 02:01:01
    22Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space Georgiana Ifrim Carsten Wiuf

    Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space Georgiana Ifrim Carsten Wiuf

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    Source URL: www.math.ku.dk

    Language: English - Date: 2012-01-27 08:04:28
      23Perceptron Learning with Random Coordinate Descent Ling Li Learning Systems Group, California Institute of Technology Abstract. A perceptron is a linear threshold classifier that separates examples with a hyperplane. It

      Perceptron Learning with Random Coordinate Descent Ling Li Learning Systems Group, California Institute of Technology Abstract. A perceptron is a linear threshold classifier that separates examples with a hyperplane. It

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      Source URL: www.work.caltech.edu

      Language: English - Date: 2006-04-22 18:28:41
      24Errata for Learning output kernels with block coordinate descent  Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit

      Errata for Learning output kernels with block coordinate descent Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit

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      Source URL: people.tuebingen.mpg.de

      Language: English - Date: 2011-07-26 04:13:11
      25MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Coordinate Descent for Mixed-norm NMF  Potluru, V.K.; LeRoux, J.; Pearlmutter, B.A.; Hershey, J.R.; Brand, M.E.

      MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Coordinate Descent for Mixed-norm NMF Potluru, V.K.; LeRoux, J.; Pearlmutter, B.A.; Hershey, J.R.; Brand, M.E.

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      Source URL: www.merl.com

      Language: English - Date: 2014-02-21 15:37:21
      26mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jie Liu Lehigh University Bethlehem, PA 18015

      mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jie Liu Lehigh University Bethlehem, PA 18015

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      Source URL: www.opt-ml.org

      Language: English - Date: 2014-12-10 11:28:41
      27S2CD: Semi-Stochastic Coordinate Descent Jakub Koneˇcn´y University of Edinburgh United Kingdom, EH9 3FD [removed]

      S2CD: Semi-Stochastic Coordinate Descent Jakub Koneˇcn´y University of Edinburgh United Kingdom, EH9 3FD [removed]

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      Source URL: www.opt-ml.org

      Language: English - Date: 2014-12-10 11:28:33
      28Coordinate descent converges faster with the Gauss-Southwell rule than random selection Michael Friedlander Department of Mathematics University of California, Davis

      Coordinate descent converges faster with the Gauss-Southwell rule than random selection Michael Friedlander Department of Mathematics University of California, Davis

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      Source URL: www.opt-ml.org

      Language: English - Date: 2014-12-10 11:28:45
      29Generic Methods for Optimization-Based Modeling  Justin Domke Rochester Institute of Technology  Abstract

      Generic Methods for Optimization-Based Modeling Justin Domke Rochester Institute of Technology Abstract

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      Source URL: users.cecs.anu.edu.au

      Language: English - Date: 2012-05-24 15:13:47
      30Randomized Subspace Descent  Rafael M. Frongillo Harvard University [removed]

      Randomized Subspace Descent Rafael M. Frongillo Harvard University [removed]

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      Source URL: www.opt-ml.org

      Language: English - Date: 2014-12-10 11:28:44