Optimization

Results: 17426



#Item
381

Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach

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Source URL: kiwi.mit.edu

- Date: 2016-12-02 15:17:47
    382

    MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Stochastically Approximated Multiobjective Optimization of Dual Input Digital Doherty Power Amplifier Niu, S.; Ma, R.; Manjunatha, K.

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    Source URL: www.merl.com

    - Date: 2017-12-01 15:41:17
      383

      Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

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      Source URL: www.di.ens.fr

      - Date: 2013-09-09 15:02:53
        384

        Quick Compilers Using Peephole Optimization JACK W. DAVIDSON AND DAVID B. WHALLEY Department of Computer Science, University of Virginia, Charlottesville, VA 22903, U.S.A. SUMMARY Abstract machine modeling is a popular t

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        Source URL: www.cs.fsu.edu

        - Date: 2016-05-22 06:55:58
          385

          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
            386

            Polynomial optimization methods for matrix factorization Po-Wei Wang Chun-Liang Li

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            Source URL: zicokolter.com

            - Date: 2018-03-15 07:15:21
              387

              Constrained Policy Optimization 10. AppendixProof of Policy Performance BoundP RELIMINARIES Our analysis will make extensive use of the discounted future state distribution, dπ , which is defined as

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              Source URL: proceedings.mlr.press

              - Date: 2018-02-06 15:06:57
                388

                Data/Model Privacy and Compliance with SigOpt SigOpt Global Optimization SigOpt is a black box, global optimization platform. SigOpt finds the ​parameters​ that maximizes an ​objective metric ​of a model:

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                Source URL: static.sigopt.com

                - Date: 2017-09-14 18:19:33
                  389

                  Stochastic optimization: Beyond stochastic gradients and convexity Part I Francis Bach INRIA - Ecole Normale Sup´erieure, Paris, France

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                  Source URL: suvrit.de

                  - Date: 2016-12-12 14:38:54
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