Kaan Gökcesu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

Top Topics

Global Optimization

Anomaly Detection

Hierarchical Structures

Top Venues

IEEE Trans. Signal Process.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kaan Gökcesu, Hakan Gökcesu
Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization. AAAI (2024)
Kaan Gökcesu, Hakan Gökcesu
Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
A 2-opt Algorithm for Locally Optimal Set Partition Optimization. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
A Note On Nonlinear Regression Under L2 Loss. CoRR (2023)
Kaan Gökcesu, Hakan Gökcesu
Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Nonconvex Extension of Generalized Huber Loss for Robust Learning and Pseudo-Mode Statistics. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Robust, Nonparametric, Efficient Decomposition of Spectral Peaks under Distortion and Interference. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
A Linearithmic Time Locally Optimal Algorithm for the Multiway Number Partition Optimization. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Second Order Regret Bounds Against Generalized Expert Sequences under Partial Bandit Feedback. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Merging Knockout and Round-Robin Tournaments: A Flexible Linear Elimination Tournament Design. CoRR (2022)
Kaan Gökcesu, Hakan Gökcesu
Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics. CoRR (2021)
Alper Köse, Hakan Gökcesu, Noyan Evirgen, Kaan Gökcesu, Muriel Médard
A Novel Method for Scheduling of Wireless Ad Hoc Networks in Polynomial Time. IEEE Trans. Wirel. Commun. 20 (1) (2021)
Kaan Gökcesu, Hakan Gökcesu
Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error. CoRR (2021)
Kaan Gökcesu, Hakan Gökcesu
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments. CoRR (2020)
Kaan Gökcesu, Hakan Gökcesu
A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice. CoRR (2020)
Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Hakan Gökcesu, Huseyin Ozkan, Suleyman Serdar Kozat
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat
Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. IEEE Trans. Signal Process. 67 (16) (2019)
Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat
Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. 67 (4) (2019)
Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. CoRR (2019)
Mert Ergeneci, Kaan Gökcesu, Erhan Ertan, Panagiotis Kosmas
An Embedded, Eight Channel, Noise Canceling, Wireless, Wearable sEMG Data Acquisition System With Adaptive Muscle Contraction Detection. IEEE Trans. Biomed. Circuits Syst. 12 (1) (2018)
Kaan Gökcesu, Suleyman Serdar Kozat
Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Kaan Gökcesu, Mert Ergeneci, Erhan Ertan, Abdallah Zaid Alkilani, Panagiotis Kosmas
An sEMG-based method to adaptively reject the effect of contraction on spectral analysis for fatigue tracking. UbiComp (2018)
Kaan Gökcesu, Suleyman Serdar Kozat
An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Kaan Gökcesu, Suleyman Serdar Kozat
Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. IEEE Trans. Signal Process. 66 (5) (2018)
Kaan Gökcesu, Eren Manis, Ali Emirhan Kurt, Ersin Yar
Estimating distributions varying in time in a universal manner. SIU (2017)
Alper Köse, Noyan Evirgen, Hakan Gökcesu, Kaan Gökcesu, Muriel Médard
Nearly Optimal Scheduling of Wireless Ad Hoc Networks in Polynomial Time. CoRR (2017)
Tolga Ergen, Kaan Gökcesu, Mustafa Simsek, Suleyman Serdar Kozat
Novelty detection using soft partitioning and hierarchical models. SIU (2017)
Kaan Gökcesu, Tolga Ergen, Selami Çiftçi, Suleyman Serdar Kozat
An efficient bandit algorithm for general weight assignments. SIU (2017)
Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Selami Ciftci, Suleyman Serdar Kozat
A Nearly Optimal Contextual Bandit Algorithm. CoRR (2016)
Ibrahim Delibalta, Kaan Gökcesu, Mustafa Simsek, Lemi Baruh, Suleyman Serdar Kozat
Online Anomaly Detection With Nested Trees. IEEE Signal Process. Lett. 23 (12) (2016)
N. Denizcan Vanli, Kaan Gökcesu, Muhammed O. Sayin, Hikmet Yildiz, Suleyman Serdar Kozat
Sequential Prediction Over Hierarchical Structures. IEEE Trans. Signal Process. 64 (23) (2016)