1 citations · 1 across the 8 of their papers we have counts for
8 papers
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses
Kaan Gokcesu, Hakan Gokcesu
This paper focuses on optimal unimodal transformation of the score outputs of a univariate learning model under linear loss functions. We demonstrate that the optimal mapping betwe…
A Note On Nonlinear Regression Under L2 Loss
Kaan Gokcesu, Hakan Gokcesu
We investigate the nonlinear regression problem under L2 loss (square loss) functions. Traditional nonlinear regression models often result in non-convex optimization problems with…
Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions
Kaan Gokcesu, Hakan Gokcesu
This study presents an effective global optimization technique designed for multivariate functions that are Hölder continuous. Unlike traditional methods that construct lower bound…
Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope
Kaan Gokcesu, Hakan Gokcesu
Our study focuses on determining the best weight windows for a weighted moving average smoother under squared loss. We show that there exists an optimal weight window that is symme…
A 2-opt Algorithm for Locally Optimal Set Partition Optimization
Kaan Gokcesu, Hakan Gokcesu
Our research deals with the optimization version of the set partition problem, where the objective is to minimize the absolute difference between the sums of the two disjoint parti…
Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback
Kaan Gokcesu, Hakan Gokcesu
We study the adversarial online learning problem and create a completely online algorithmic framework that has data dependent regret guarantees in both full expert feedback and ban…