Gradient descent

Results: 277



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81A Mini-Course on Convex Optimization with a view toward designing fast algorithms Nisheeth K. Vishnoi  i

A Mini-Course on Convex Optimization with a view toward designing fast algorithms Nisheeth K. Vishnoi i

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Source URL: theory.epfl.ch

Language: English - Date: 2015-10-07 04:19:12
82Case Study 1: Estimating Click Probabilities  Stochastic Gradient Descent (continued) Machine Learning/Statistics for Big Data CSE599C1/STAT592, University of Washington

Case Study 1: Estimating Click Probabilities Stochastic Gradient Descent (continued) Machine Learning/Statistics for Big Data CSE599C1/STAT592, University of Washington

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Source URL: courses.cs.washington.edu

Language: English - Date: 2013-01-17 04:16:10
    83Multileave Gradient Descent for Fast Online Learning to Rank (Abstract) Anne Schuth†   Harrie Oosterhuis†

    Multileave Gradient Descent for Fast Online Learning to Rank (Abstract) Anne Schuth† Harrie Oosterhuis†

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    Source URL: www.anneschuth.nl

    Language: English - Date: 2015-11-12 09:02:39
      84WIC Wintermeeting, February 1, 2016  From Data Compression to Online Machine Learning Tim van Erven

      WIC Wintermeeting, February 1, 2016 From Data Compression to Online Machine Learning Tim van Erven

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      Source URL: www.timvanerven.nl

      Language: English - Date: 2016-02-01 08:21:05
      85Optimizing Non-decomposable Performance Measures: A Tale of Two Classes  Harikrishna Narasimhan∗ Indian Institute of Science, Bangalore, INDIA  HARIKRISHNA @ CSA . IISC . ERNET. IN

      Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan∗ Indian Institute of Science, Bangalore, INDIA HARIKRISHNA @ CSA . IISC . ERNET. IN

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      Source URL: jmlr.org

      Language: English - Date: 2015-09-16 19:38:47
      86A Lower Bound for the Optimization of Finite Sums  Alekh Agarwal Microsoft Research NYC, New York, NY.  ALEKHA @ MICROSOFT. COM

      A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Microsoft Research NYC, New York, NY. ALEKHA @ MICROSOFT. COM

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      Source URL: jmlr.org

      Language: English - Date: 2015-09-16 19:38:43
      87Lecture Notes: Some notes on gradient descent Marc Toussaint Machine Learning & Robotics lab, FU Berlin Arnimallee 7, 14195 Berlin, Germany

      Lecture Notes: Some notes on gradient descent Marc Toussaint Machine Learning & Robotics lab, FU Berlin Arnimallee 7, 14195 Berlin, Germany

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      Source URL: ipvs.informatik.uni-stuttgart.de

      Language: English - Date: 2012-05-03 04:56:46
        88ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran

        ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran

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        Source URL: sampleclean.org

        Language: English - Date: 2016-01-15 13:57:46
        89Learning long-term dependencies with gradient descent is difficult - Neural Networks, IEEE Transactions on

        Learning long-term dependencies with gradient descent is difficult - Neural Networks, IEEE Transactions on

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        Source URL: www-dsi.ing.unifi.it

        - Date: 2013-02-18 06:07:32
          90Tracking Time-Varying Hidden Faults using Stochastic Gradient Descent Joh n C. Pla t t , Em r e K c m a n , Da vid A. Ma lt z Microsoft Research, 1 Microsoft Way, Redmond WA 98052 {jplatt, emrek, dmaltz}@microsoft.com ht

          Tracking Time-Varying Hidden Faults using Stochastic Gradient Descent Joh n C. Pla t t , Em r e K c m a n , Da vid A. Ma lt z Microsoft Research, 1 Microsoft Way, Redmond WA 98052 {jplatt, emrek, dmaltz}@microsoft.com ht

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          Source URL: snowbird.djvuzone.org

          Language: English - Date: 2007-03-09 02:31:33