An Asymptotically Optimal Algorithm for Communicating Multiplayer Multi-Armed Bandit Problems. - Noyan Evirgen; Alper Köse; Hakan Gökcesu (CoRR, 2017)

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

Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2019)

Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2019)

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)

Virtual Drive-Tests: A Case for Predicting QoE in Adaptive Video Streaming. - Hakan Gökcesu; Özgür Erçetin; Gökhan Kalem; Salih Ergüt (CoRR, 2021)

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)

Graph-Theoretical Dynamic User Pairing for Downlink NOMA Systems. - Alper Köse; Mutlu Koca; Emin Anarim; Muriel Médard; Hakan Gökcesu (IEEE Commun. Lett., 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)

Deep Learning-Based QoE Prediction for Streaming Services in Mobile Networks. - Gan Huang; Özgür Erçetin; Hakan Gökcesu; Gökhan Kalem (WiMob, 2022)

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)

Optimal Tracking in Prediction with Expert Advice. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2022)

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

Enhancing QoE Assessment in FWA: Leveraging Network KPIs and User Feedback Analysis. - Hakan Gökcesu; Özgür Erçetin; Gökhan Kalem (CAMAD, 2023)

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)

QoE Evaluation in Adaptive Streaming: Enhanced MDT with Deep Learning. - Hakan Gökcesu; Özgür Erçetin; Gökhan Kalem; Salih Ergüt (J. Netw. Syst. Manag., 2023)

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

Universal Online Convex Optimization With Minimax Optimal Second-Order Dynamic Regret. - Hakan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Autom. Control., 2024)