Hakan Gökcesu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

QoE Evaluation in Adaptive Streaming: Enhanced MDT with Deep Learning.

[BibT_eX]

[DOI]

J. Netw. Syst. Manag., 2023

Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses.

[BibT_eX]

[DOI]

CoRR, 2023

A Note On Nonlinear Regression Under L2 Loss.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions.

[BibT_eX]

[DOI]

CoRR, 2023

Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope.

[BibT_eX]

[DOI]

CoRR, 2023

A 2-opt Algorithm for Locally Optimal Set Partition Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing QoE Assessment in FWA: Leveraging Network KPIs and User Feedback Analysis.

[BibT_eX]

[DOI]

Özgür Erçetin

Gökhan Kalem

Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

2022

1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers.

[BibT_eX]

[DOI]

CoRR, 2022

Optimal Tracking in Prediction with Expert Advice.

[BibT_eX]

[DOI]

CoRR, 2022

An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions.

[BibT_eX]

[DOI]

CoRR, 2022

A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression.

[BibT_eX]

[DOI]

CoRR, 2022

Robust, Nonparametric, Efficient Decomposition of Spectral Peaks under Distortion and Interference.

[BibT_eX]

[DOI]

CoRR, 2022

Second Order Regret Bounds Against Generalized Expert Sequences under Partial Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2022

Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity.

[BibT_eX]

[DOI]

CoRR, 2022

Merging Knockout and Round-Robin Tournaments: A Flexible Linear Elimination Tournament Design.

[BibT_eX]

[DOI]

CoRR, 2022

Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity.

[BibT_eX]

[DOI]

CoRR, 2022

A Linearithmic Time Locally Optimal Algorithm for the Multiway Number Partition Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows.

[BibT_eX]

[DOI]

CoRR, 2022

Nonconvex Extension of Generalized Huber Loss for Robust Learning and Pseudo-Mode Statistics.

[BibT_eX]

[DOI]

CoRR, 2022

Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning-Based QoE Prediction for Streaming Services in Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Wireless and Mobile Computing, 2022

2021

A Novel Method for Scheduling of Wireless Ad Hoc Networks in Polynomial Time.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

Graph-Theoretical Dynamic User Pairing for Downlink NOMA Systems.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2021

Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses.

[BibT_eX]

[DOI]

CoRR, 2021

Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses.

[BibT_eX]

[DOI]

CoRR, 2021

Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2021

A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection.

[BibT_eX]

[DOI]

CoRR, 2021

Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics.

[BibT_eX]

[DOI]

CoRR, 2021

Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives.

[BibT_eX]

[DOI]

CoRR, 2021

Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles.

[BibT_eX]

[DOI]

CoRR, 2021

Virtual Drive-Tests: A Case for Predicting QoE in Adaptive Video Streaming.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments.

[BibT_eX]

[DOI]

CoRR, 2020

A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays.

[BibT_eX]

[DOI]

Nuri Mert Vural

IEEE Trans. Signal Process., 2019

Sequential Outlier Detection Based on Incremental Decision Trees.

[BibT_eX]

[DOI]

Mohammadreza Mohaghegh Neyshabouri

Mohammadreza Mohaghegh Neyshabouri

IEEE Trans. Signal Process., 2019

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures.

[BibT_eX]

[DOI]

Huseyin Ozkan

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret.

[BibT_eX]

[DOI]

CoRR, 2019

Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures.

[BibT_eX]

[DOI]

CoRR, 2019

2017

Nearly Optimal Scheduling of Wireless Ad Hoc Networks in Polynomial Time.

[BibT_eX]

[DOI]

CoRR, 2017

An Asymptotically Optimal Algorithm for Communicating Multiplayer Multi-Armed Bandit Problems.

[BibT_eX]

[DOI]

Noyan Evirgen

Alper Köse