Now showing items 1-3 of 3

    • An efficient bandit algorithm for general weight assignments 

      Gokcesu, K.; Ergen, T.; Ciftci, S.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this paper, we study the adversarial multi armed bandit problem and present a generally implementable efficient bandit arm selection structure. Since we do not have any statistical assumptions on the bandit arm losses, ...
    • Estimating distributions varying in time in a universal manner 

      Gokcesu, K.; Manis, E.; Kurt, A. E.; Yar, E. (Institute of Electrical and Electronics Engineers Inc., 2017)
      We investigate the estimation of distributions with time-varying parameters. We introduce an algorithm that achieves the optimal negative likelihood performance against the true probability distribution. We achieve this ...
    • Piecewise nonlinear regression via decision adaptive trees 

      Vanli, N.D.; Sayin, M.O.; Ergüt, S.; Kozat, S.S. (European Signal Processing Conference, EUSIPCO, 2014)
      We investigate the problem of adaptive nonlinear regression and introduce tree based piecewise linear regression algorithms that are highly efficient and provide significantly improved performance with guaranteed upper ...