Convex

Results: 2611



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81Convex Optimization M2 Lecture 5 A. d’Aspremont. Convex Optimization M2

Convex Optimization M2 Lecture 5 A. d’Aspremont. Convex Optimization M2

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Source URL: www.di.ens.fr

- Date: 2013-09-09 17:43:24
    82Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Razvan Pascanu Universit´e de Montr´eal

    Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Razvan Pascanu Universit´e de Montr´eal

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    Source URL: arxiv.org

    - Date: 2014-06-10 20:21:26
      83Convex Relaxations for Permutation Problems  Alex d’Aspremont, CNRS & ENS, Paris. with Fajwel Fogel, Rodolphe Jenatton & Francis Bach, INRIA & ENS Paris.

      Convex Relaxations for Permutation Problems Alex d’Aspremont, CNRS & ENS, Paris. with Fajwel Fogel, Rodolphe Jenatton & Francis Bach, INRIA & ENS Paris.

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      Source URL: www.di.ens.fr

      - Date: 2013-09-14 11:27:57
        84Convex Optimization M2 Lecture 7 A. d’Aspremont. Convex Optimization M2

        Convex Optimization M2 Lecture 7 A. d’Aspremont. Convex Optimization M2

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        Source URL: www.di.ens.fr

        - Date: 2013-09-09 17:43:36
          85Statistical machine learning and convex optimization Francis Bach INRIA - Ecole Normale Sup´erieure, Paris, France  ÉCOLE NORMALE

          Statistical machine learning and convex optimization Francis Bach INRIA - Ecole Normale Sup´erieure, Paris, France ÉCOLE NORMALE

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          Source URL: www.di.ens.fr

          - Date: 2016-07-19 02:52:17
            86Convex Optimization M2 Lecture 3 A. d’Aspremont. Convex Optimization M2

            Convex Optimization M2 Lecture 3 A. d’Aspremont. Convex Optimization M2

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            Source URL: www.di.ens.fr

            - Date: 2014-02-06 03:59:22
              87Convex Optimization M2 Lecture 4 A. d’Aspremont. Convex Optimization M2

              Convex Optimization M2 Lecture 4 A. d’Aspremont. Convex Optimization M2

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              Source URL: www.di.ens.fr

              - Date: 2013-09-09 17:43:56
                88A Convex Framework for Fair Regression∗ Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth University of Pennsylvania  Abstract

                A Convex Framework for Fair Regression∗ Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth University of Pennsylvania Abstract

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                Source URL: fatml.mysociety.org

                - Date: 2017-07-21 16:41:30
                  89A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting Yvain Q U E´ AU, Tao W U Technical University of Munich, Germany  Franc¸ois L AUZE

                  A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting Yvain Q U E´ AU, Tao W U Technical University of Munich, Germany Franc¸ois L AUZE

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                  Source URL: openaccess.thecvf.com

                  - Date: 2017-05-30 20:42:41