Stochastic gradient descent

Results: 144



#Item
31arXiv:1410.7455v8  [cs.NE]  22 Jun 2015

arXiv:1410.7455v8 [cs.NE] 22 Jun 2015

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2015-06-23 20:50:51
32Efficient Learning of Mahalanobis Metrics for Ranking  Daryl K. H. Lim DKLIM @ UCSD . EDU Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Gert Lanckriet

Efficient Learning of Mahalanobis Metrics for Ranking Daryl K. H. Lim DKLIM @ UCSD . EDU Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Gert Lanckriet

Add to Reading List

Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:24
33Adaptive Subgradient Methods  Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Add to Reading List

Source URL: stanford.edu

Language: English - Date: 2014-09-05 13:17:02
34Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

Add to Reading List

Source URL: eplex.cs.ucf.edu

Language: English - Date: 2016-04-28 14:32:32
35Supplementary Materials: Accelerated Stochastic Gradient Descent for Minimizing Finite Sums Atsushi Nitanda Tokyo Institute of Technology and NTT DATA Mathematical Systems Inc. Tokyo, Japan

Supplementary Materials: Accelerated Stochastic Gradient Descent for Minimizing Finite Sums Atsushi Nitanda Tokyo Institute of Technology and NTT DATA Mathematical Systems Inc. Tokyo, Japan

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2016-06-06 23:29:35
    36ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

    ADVANCES IN OPTIMIZING RECURRENT NETWORKS Yoshua Bengio, Nicolas Boulanger-Lewandowski and Razvan Pascanu arXiv:1212.0901v2 [cs.LG] 14 DecU. Montreal

    Add to Reading List

    Source URL: arxiv.org

    Language: English - Date: 2012-12-16 20:30:23
    37Topmoumoute online natural gradient algorithm Nicolas Le Roux University of Montreal   Pierre-Antoine Manzagol

    Topmoumoute online natural gradient algorithm Nicolas Le Roux University of Montreal Pierre-Antoine Manzagol

    Add to Reading List

    Source URL: nicolas.le-roux.name

    Language: English - Date: 2011-05-05 09:32:05
    38Weighted SGD for ?𝓅 Regression with Randomized Preconditioning

    Weighted SGD for ?𝓅 Regression with Randomized Preconditioning

    Add to Reading List

    Source URL: www.stat.berkeley.edu

    Language: English - Date: 2015-12-28 18:07:07
    39Accelerated Stochastic Gradient Descent for Minimizing Finite Sums  Atsushi Nitanda Tokyo Institute of Technology and NTT DATA Mathematical Systems Inc. Tokyo, Japan

    Accelerated Stochastic Gradient Descent for Minimizing Finite Sums Atsushi Nitanda Tokyo Institute of Technology and NTT DATA Mathematical Systems Inc. Tokyo, Japan

    Add to Reading List

    Source URL: jmlr.org

    Language: English - Date: 2016-06-06 23:29:35
      40Conjugate Directions for Stochastic Gradient Descent? Nicol N. Schraudolph Thore Graepel

      Conjugate Directions for Stochastic Gradient Descent? Nicol N. Schraudolph Thore Graepel

      Add to Reading List

      Source URL: nic.schraudolph.org

      Language: English - Date: 2011-07-24 10:17:03