A Nearly Optimal Contextual Bandit Algorithm. - Mohammadreza Mohaghegh Neyshabouri; Kaan Gökcesu; Selami Ciftci; Suleyman Serdar Kozat (CoRR, 2016)

Online Anomaly Detection With Nested Trees. - Ibrahim Delibalta; Kaan Gökcesu; Mustafa Simsek; Lemi Baruh; Suleyman Serdar Kozat (IEEE Signal Process. Lett., 2016)

Sequential Prediction Over Hierarchical Structures. - N. Denizcan Vanli; Kaan Gökcesu; Muhammed O. Sayin; Hikmet Yildiz; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Novelty detection using soft partitioning and hierarchical models. - Tolga Ergen; Kaan Gökcesu; Mustafa Simsek; Suleyman Serdar Kozat (SIU, 2017)

An efficient bandit algorithm for general weight assignments. - Kaan Gökcesu; Tolga Ergen; Selami Çiftçi; Suleyman Serdar Kozat (SIU, 2017)

Estimating distributions varying in time in a universal manner. - Kaan Gökcesu; Eren Manis; Ali Emirhan Kurt; Ersin Yar (SIU, 2017)

Nearly Optimal Scheduling of Wireless Ad Hoc Networks in Polynomial Time. - Alper Köse; Noyan Evirgen; Hakan Gökcesu; Kaan Gökcesu; Muriel Médard (CoRR, 2017)

An sEMG-based method to adaptively reject the effect of contraction on spectral analysis for fatigue tracking. - Kaan Gökcesu; Mert Ergeneci; Erhan Ertan; Abdallah Zaid Alkilani; Panagiotis Kosmas (UbiComp, 2018)

An Embedded, Eight Channel, Noise Canceling, Wireless, Wearable sEMG Data Acquisition System With Adaptive Muscle Contraction Detection. - Mert Ergeneci; Kaan Gökcesu; Erhan Ertan; Panagiotis Kosmas (IEEE Trans. Biomed. Circuits Syst., 2018)

Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2018)

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. - Mohammadreza Mohaghegh Neyshabouri; Kaan Gökcesu; Hakan Gökcesu; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2019)

Sequential Outlier Detection Based on Incremental Decision Trees. - Kaan Gökcesu; Mohammadreza Mohaghegh Neyshabouri; Hakan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2019)

Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. - Nuri Mert Vural; Hakan Gökcesu; Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2019)

A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2020)

Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2020)

Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2021)

A Novel Method for Scheduling of Wireless Ad Hoc Networks in Polynomial Time. - Alper Köse; Hakan Gökcesu; Noyan Evirgen; Kaan Gökcesu; Muriel Médard (IEEE Trans. Wirel. Commun., 2021)

Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Nonconvex Extension of Generalized Huber Loss for Robust Learning and Pseudo-Mode Statistics. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

A Linearithmic Time Locally Optimal Algorithm for the Multiway Number Partition Optimization. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Merging Knockout and Round-Robin Tournaments: A Flexible Linear Elimination Tournament Design. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Second Order Regret Bounds Against Generalized Expert Sequences under Partial Bandit Feedback. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Robust, Nonparametric, Efficient Decomposition of Spectral Peaks under Distortion and Interference. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2022)

Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

A 2-opt Algorithm for Locally Optimal Set Partition Optimization. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

A Note On Nonlinear Regression Under L2 Loss. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses. - Kaan Gökcesu; Hakan Gökcesu (CoRR, 2023)

Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization. - Kaan Gökcesu; Hakan Gökcesu (AAAI, 2024)