Now showing items 61-63 of 776

    • Towards Practical Theory: Bayesian Optimization and Optimal Exploration 

      Kawaguchi, Kenji (2016-05-26)
      This thesis discusses novel principles to improve the theoretical analyses of a class of methods, aiming to provide theoretically driven yet practically useful methods. The thesis focuses on a class of methods, called ...
    • Deep Learning without Poor Local Minima 

      Kawaguchi, Kenji (2016-05-23)
      In this paper, we prove a conjecture published in 1989 and also partially address an open problem announced at the Conference on Learning Theory (COLT) 2015. For an expected loss function of a deep nonlinear neural network, ...
    • Delphi: A Software Controller for Mobile Network Selection 

      Deng, Shuo; Sivaraman, Anirudh; Balakrishnan, Hari (2016-02-25)
      This paper presents Delphi, a mobile software controller that helps applications select the best network among available choices for their data transfers. Delphi optimizes a specified objective such as transfer completion ...