BFGS method

Results: 56



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1A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

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Source URL: proceedings.mlr.press

Language: English - Date: 2017-05-06 17:27:03
    2SIAM J. SCI. COMPUT. Vol. 36, No. 3, pp. A930–A954 c 2014 Society for Industrial and Applied Mathematics 

    SIAM J. SCI. COMPUT. Vol. 36, No. 3, pp. A930–A954 c 2014 Society for Industrial and Applied Mathematics 

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    Source URL: alice.loria.fr

    Language: English - Date: 2014-07-04 06:00:53
    3A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

    A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

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    Source URL: jmlr.org

    Language: English - Date: 2015-09-16 19:38:45
    4Research Report KSTS/RRMarch 9, 2015 The L-BFGS method for nonlinear GMRES

    Research Report KSTS/RRMarch 9, 2015 The L-BFGS method for nonlinear GMRES

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    Source URL: www.math.keio.ac.jp

    Language: English - Date: 2015-03-17 21:26:00
      5Microsoft Word110139

      Microsoft Word110139

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      Source URL: www.lasg.ac.cn

      Language: English - Date: 2012-03-08 21:44:30
      6Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model

      Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model

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      Source URL: spot.colorado.edu

      Language: English - Date: 2015-04-29 17:50:25
      7Krylov Subspace Descent for Deep Learning Oriol Vinyals University of California, Berkeley Abstract

      Krylov Subspace Descent for Deep Learning Oriol Vinyals University of California, Berkeley Abstract

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      Source URL: www1.icsi.berkeley.edu

      Language: English - Date: 2012-02-03 01:40:48
      8Black-box optimization benchmarking of the GLOBAL method L´aszlo´ P´al Faculty of Economic and Human Sciences, Sapientia – Hungarian University of

      Black-box optimization benchmarking of the GLOBAL method L´aszlo´ P´al Faculty of Economic and Human Sciences, Sapientia – Hungarian University of

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      Source URL: www.mat.univie.ac.at

      Language: English - Date: 2012-07-04 06:19:05
      9New Quasi-Newton Methods for Efficient Large-Scale Machine Learning S.V. N. Vishwanathan Joint work with Nic Schraudolph, Simon Günter, Jin Yu, Peter Sunehag, and Jochen Trumpf National ICT Australia and Australian Nati

      New Quasi-Newton Methods for Efficient Large-Scale Machine Learning S.V. N. Vishwanathan Joint work with Nic Schraudolph, Simon Günter, Jin Yu, Peter Sunehag, and Jochen Trumpf National ICT Australia and Australian Nati

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      Source URL: www.stat.purdue.edu

      Language: English - Date: 2009-08-21 20:36:33
      10/home/tgd/s/ashenfelter/ml2004/tech-report/paper.dvi

      /home/tgd/s/ashenfelter/ml2004/tech-report/paper.dvi

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      Source URL: www.cs.iastate.edu

      Language: English - Date: 2004-09-12 22:29:55