Rademacher complexity

Results: 10



#Item
1Rademacher Complexity Margin Bounds for Learning with a Large Number of Classes Vitaly Kuznetsov Courant Institute of Mathematical Sciences, 251 Mercer street, New York, NY, 10012 Mehryar Mohri

Rademacher Complexity Margin Bounds for Learning with a Large Number of Classes Vitaly Kuznetsov Courant Institute of Mathematical Sciences, 251 Mercer street, New York, NY, 10012 Mehryar Mohri

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Source URL: www.cims.nyu.edu

- Date: 2015-06-14 23:04:17
    2Mathematical Modelling of Generalization Martin Anthony Department of Mathematics, London School of Economics Houghton Street, London WC2A 2AE, UK  www.maths.lse.ac.uk/Personal/martin

    Mathematical Modelling of Generalization Martin Anthony Department of Mathematics, London School of Economics Houghton Street, London WC2A 2AE, UK www.maths.lse.ac.uk/Personal/martin

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    Source URL: www.maths.lse.ac.uk

    Language: English - Date: 2002-09-24 16:32:03
    3Theoretical Statistics. Lecture 11. Peter Bartlett Uniform laws of large numbers: Bounding Rademacher complexity. 1. Vapnik-Chervonenkis dimension. 2. Structural results for Rademacher complexity. 3. Metric entropy.

    Theoretical Statistics. Lecture 11. Peter Bartlett Uniform laws of large numbers: Bounding Rademacher complexity. 1. Vapnik-Chervonenkis dimension. 2. Structural results for Rademacher complexity. 3. Metric entropy.

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    Source URL: www.stat.berkeley.edu

    Language: English - Date: 2013-02-26 17:02:06
      4The Local Rademacher Complexity of `p-Norm Multiple Kernel Learning Marius Kloft∗ Machine Learning Laboratory TU Berlin, Germany

      The Local Rademacher Complexity of `p-Norm Multiple Kernel Learning Marius Kloft∗ Machine Learning Laboratory TU Berlin, Germany

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      Source URL: users.math.uni-potsdam.de

      Language: English - Date: 2012-02-02 09:05:46
        5Online Learning: Stochastic and Constrained Adversaries  arXiv:1104.5070v1 [stat.ML] 27 Apr 2011 Alexander Rakhlin Department of Statistics

        Online Learning: Stochastic and Constrained Adversaries arXiv:1104.5070v1 [stat.ML] 27 Apr 2011 Alexander Rakhlin Department of Statistics

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        Source URL: arxiv.org

        Language: English - Date: 2011-04-27 20:24:41
        6Rademacher Complexity Ashish Rastogi 1  Introduction

        Rademacher Complexity Ashish Rastogi 1 Introduction

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        Source URL: cs.nyu.edu

        Language: English - Date: 2009-09-03 19:03:18
        7Foundations of Machine Learning Lecture 8 Mehryar Mohri Courant Institute and Google Research [removed]

        Foundations of Machine Learning Lecture 8 Mehryar Mohri Courant Institute and Google Research [removed]

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        Source URL: www.cs.nyu.edu

        Language: English - Date: 2014-12-05 14:56:46
        8Journal of Machine Learning Research[removed]Submitted 09/08; Published[removed]Stability Bounds for Stationary ϕ-mixing and β-mixing Processes Mehryar Mohri

        Journal of Machine Learning Research[removed]Submitted 09/08; Published[removed]Stability Bounds for Stationary ϕ-mixing and β-mixing Processes Mehryar Mohri

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        Source URL: www.cs.nyu.edu

        Language: English - Date: 2013-10-12 16:47:09
        9Rademacher Complexity Bounds for Non-I.I.D. Processes Mehryar Mohri Courant Institute of Mathematical Sciences and Google Research 251 Mercer Street

        Rademacher Complexity Bounds for Non-I.I.D. Processes Mehryar Mohri Courant Institute of Mathematical Sciences and Google Research 251 Mercer Street

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        Source URL: www.cs.nyu.edu

        Language: English - Date: 2009-11-02 10:14:32
        10The Rademacher Complexity of Co-Regularized Kernel Classes  David S. Rosenberg Peter L. Bartlett

        The Rademacher Complexity of Co-Regularized Kernel Classes David S. Rosenberg Peter L. Bartlett

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        Source URL: jmlr.csail.mit.edu

        Language: English - Date: 2007-10-27 13:13:46