Browsing by Author "Neyshabouri, Mohammadreza Mohaghegh"

Now showing items 1-4 of 4

    • Asymptotically optimal contextual bandit algorithm using hierarchical structures 

      Neyshabouri, Mohammadreza Mohaghegh; Gökçesu, Kaan; Gökçesu, Hakan; Özkan, Hüseyin; Kozat, Süleyman Serdar (Institute of Electrical and Electronics Engineers, 2018)
      We propose an online algorithm for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and, then, optimally combine all of the possible mappings between the ...

    • Nonlinear regression via incremental decision trees 

      Vanlı, N.; Sayın, M.; Neyshabouri, Mohammadreza Mohaghegh; Özkan, H.; Kozat, Süleyman S. (Elsevier, 2019)
      We study sequential nonlinear regression and introduce an online algorithm that elegantly mitigates, via an adaptively incremental hierarchical structure, convergence and undertraining issues of conventional nonlinear ...

    • Sequential outlier detection based on incremental decision trees 

      Gökçesu, Kaan; Neyshabouri, Mohammadreza Mohaghegh; Gökçesu, Hakan; Serdar, Süleyman (IEEE, 2019)
      We introduce an online outlier detection algorithm to detect outliers in a sequentially observed data stream. For this purpose, we use a two-stage filtering and hedging approach. In the first stage, we construct a multimodal ...

    • A tree-based solution to nonlinear regression problem 

      Demir, Oğuzhan; Neyshabouri, Mohammadreza Mohaghegh; Delibalta, İ.; Kozat, Süleyman Serdar (IEEE, 2016)
      In this paper, we offer and examine a new algorithm for sequential nonlinear regression problem. In this architecture, we use piecewise adaptive linear functions to find the nonlinear regression model sequentially. For ...