Kaan Gökcesu - RankMe

49 papers A* 1Misc 1Journal 44Unranked 3

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