John Langford

Results: 55



#Item
1Computable Shell Decomposition Bounds John Langford TTI-Chicago David McAllester TTI-Chicago

Computable Shell Decomposition Bounds John Langford TTI-Chicago David McAllester TTI-Chicago

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Source URL: hunch.net

Language: English - Date: 2004-11-05 17:33:47
    2Feature Hashing for Large Scale Multitask Learning Kilian Weinberger Anirban Dasgupta John Langford Alex Smola

    Feature Hashing for Large Scale Multitask Learning Kilian Weinberger Anirban Dasgupta John Langford Alex Smola

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    Source URL: alex.smola.org

    Language: English - Date: 2013-09-09 02:03:31
      3Mach Learn: 297–325 DOIs10994x Search-based structured prediction Hal Daumé III · John Langford · Daniel Marcu

      Mach Learn: 297–325 DOIs10994x Search-based structured prediction Hal Daumé III · John Langford · Daniel Marcu

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      Source URL: hunch.net

      Language: English - Date: 2009-05-20 13:12:59
        4Pra ti al Generalization Bounds Chi ago 2005 Ma hine Learning Summer S hool John Langford TTI Chi ago Learning = Predi tion ability

        Pra ti al Generalization Bounds Chi ago 2005 Ma hine Learning Summer S hool John Langford TTI Chi ago Learning = Predi tion ability

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        Source URL: hunch.net

        Language: English - Date: 2007-04-21 19:26:35
          512 December 2008  www.globalspeculator.com.au  MUNDO MINERALS: PLENTY OF PROJECTS,  NOT ENOUGH CASH.  At Mundo Mineral’s recent AGM, CEO John Langford expressed the company’s need to conserve

          12 December 2008  www.globalspeculator.com.au  MUNDO MINERALS: PLENTY OF PROJECTS,  NOT ENOUGH CASH.  At Mundo Mineral’s recent AGM, CEO John Langford expressed the company’s need to conserve

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          Source URL: www.globalspeculator.com.au

          Language: English
            6Journal of Machine Learning Research743 Submitted 6/08; Revised 11/08; Published 3/09 Sparse Online Learning via Truncated Gradient John Langford

            Journal of Machine Learning Research743 Submitted 6/08; Revised 11/08; Published 3/09 Sparse Online Learning via Truncated Gradient John Langford

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            Source URL: hunch.net

            Language: English - Date: 2009-05-20 10:48:46
              7Practical Evaluation and Optimization of Contextual Bandit Algorithms Alberto Bietti, Alekh Agarwal, John Langford To cite this version: Alberto Bietti, Alekh Agarwal, John Langford. Practical Evaluation and Optimization

              Practical Evaluation and Optimization of Contextual Bandit Algorithms Alberto Bietti, Alekh Agarwal, John Langford To cite this version: Alberto Bietti, Alekh Agarwal, John Langford. Practical Evaluation and Optimization

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              Source URL: hal.inria.fr

              - Date: 2018-03-30 23:30:03
                8Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Misra† , John Langford‡ , and Yoav Artzi† † Dept. of Computer Science and Cornell Tech, Cornell University, New York,

                Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Misra† , John Langford‡ , and Yoav Artzi† † Dept. of Computer Science and Cornell Tech, Cornell University, New York,

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                Source URL: yoavartzi.com

                - Date: 2018-04-02 13:13:18
                  9Logarithmic Time Prediction John Langford Microsoft Research DIMACS Workshop on Big Data through the Lens of Sublinear Algorithms

                  Logarithmic Time Prediction John Langford Microsoft Research DIMACS Workshop on Big Data through the Lens of Sublinear Algorithms

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                  Source URL: dimacs.rutgers.edu

                  - Date: 2015-10-28 12:48:10