Approximation

Results: 2157



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71

X Bayes-Nash Approximation This text primarily focuses on the design of incentive compatible mechanisms, i.e., ones where truth telling is an equilibrium. This focus is justified in theory by the revelation principle (Se

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Source URL: jasonhartline.com

- Date: 2017-07-28 06:04:18
    72

    Approximation Bounds for Sparse Principal Component Analysis Alexandre d’Aspremont, CNRS & Ecole Polytechnique. With Francis Bach, INRIA-ENS and Laurent El Ghaoui, U.C. Berkeley.

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    Source URL: www.di.ens.fr

    - Date: 2013-09-09 17:46:45
      73

      Approximation in Economic Design Jason D. Hartline1 Draft: April 15, 2012 1

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      Source URL: jasonhartline.com

      - Date: 2017-07-28 06:04:18
        74

        An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation David Anderson * 1 Ming Gu * 1 Abstract

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        Source URL: proceedings.mlr.press

        - Date: 2018-02-06 15:06:57
          75

          Approximation Algorithm for the Kinetic Robust K-Center Problem Sorelle A. Friedlera,∗,1 , David M. Mounta,2 a Department of Computer Science

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          Source URL: sorelle.friedler.net

          - Date: 2016-04-17 13:12:00
            76

            4 Bayesian Approximation One of the most intriguing conclusions from the preceding chapter is that for i.i.d. regular single-item environments the second-price auction with a reservation price is revenue optimal. This re

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            Source URL: jasonhartline.com

            - Date: 2017-07-28 06:04:18
              77

              Mechanism Design and Approximation Jason D. Hartline Manuscript date: September 2, 2014 c 2011–2014 Copyright

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              Source URL: jasonhartline.com

              - Date: 2017-07-28 06:04:18
                78

                Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Appendix: Proofs A. Preliminaries Our upper and lower bound analysis relies predominantly on Fourier analysis, so we no

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                Source URL: proceedings.mlr.press

                - Date: 2018-02-06 15:06:57
                  79

                  Approximation Bounds for Sparse PCA Alexandre d’Aspremont, CNRS & Ecole Polytechnique with Francis Bach, INRIA-ENS and Laurent El Ghaoui, U.C. Berkeley A. d’Aspremont

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                  Source URL: www.di.ens.fr

                  - Date: 2013-09-09 17:44:09
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