Limited-memory BFGS

Results: 34



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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
    3Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu

    Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu

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    Source URL: www.seas.upenn.edu

    Language: English - Date: 2012-11-12 14:20:02
    4A 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
    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
    8Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PAfeisha|pereira)@cis.upe

    Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PAfeisha|pereira)@cis.upe

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    Source URL: www.cs.iastate.edu

    Language: English - Date: 2004-09-12 22:18:04
    9Journal of Machine Learning Research–57 Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

    Journal of Machine Learning Research–57 Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

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    Source URL: www.stat.purdue.edu

    Language: English - Date: 2010-03-07 22:04:30
    10REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Christopher Manning,3 Dan Jurafsky4 Electrical Engineering

    REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Christopher Manning,3 Dan Jurafsky4 Electrical Engineering

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2007-10-14 22:19:15