Gradient

Results: 3125



#Item
111

QuickeNing: A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization Hongzhou Lin, Julien Mairal, Zaid Harchaoui To cite this version: Hongzhou Lin, Julien Mairal, Zaid Harchaoui. QuickeNing: A Generic Qua

Add to Reading List

Source URL: hal.inria.fr

- Date: 2016-12-19 07:38:05
    112

    JTC 2016 masthead graphic - slate gradient

    Add to Reading List

    Source URL: newmarkets.org

    - Date: 2016-10-25 17:35:56
      113

      Linear and Sublinear Linear Algebra Algorithms: Preconditioning Stochastic Gradient Algorithms with Randomized Linear Algebra

      Add to Reading List

      Source URL: dimacs.rutgers.edu

      - Date: 2015-08-27 15:47:14
        114

        UBNT_Primary_Logo_Gradient_CMYK_New

        Add to Reading List

        Source URL: dl-origin.ubnt.com

        - Date: 2016-11-01 16:31:36
          115

          IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 8, AUGUSTvol. 14, M. Kamel, A. Abutaleb, and M. Rasmy, “A gradient based preprocessing

          Add to Reading List

          Source URL: cs.nyu.edu

          - Date: 2009-04-16 15:51:06
            116

            UBNT_Primary_Logo_Gradient_CMYK_New

            Add to Reading List

            Source URL: dl-origin.ubnt.com

            - Date: 2016-12-09 13:23:33
              117

              SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Francis Bach INRIA - Sierra Project-Team

              Add to Reading List

              Source URL: papers.nips.cc

              - Date: 2014-12-02 18:40:41
                118

                ABSTRACTS Program Abstract #1 Dynamics and Shaping of a BMP Morphogen Gradient Joe Zinski2, Francesca Tuazon2, Wei Duo1, Yan Huang1, David Umulis1, Mary Mullins2 1

                Add to Reading List

                Source URL: www.sdbonline.org

                - Date: 2016-07-28 15:45:04
                  119

                  We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff.

                  Add to Reading List

                  Source URL: mmds-data.org

                  - Date: 2016-06-23 15:50:48
                    120

                    Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

                    Add to Reading List

                    Source URL: webdocs.cs.ualberta.ca

                    - Date: 2009-05-29 17:59:38
                      UPDATE