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2020 – today
- 2024
[j7]Hakan Gökcesu
, Suleyman Serdar Kozat:
Universal Online Convex Optimization With Minimax Optimal Second-Order Dynamic Regret. IEEE Trans. Autom. Control. 69(6): 3865-3880 (2024)- [c3]Kaan Gökcesu, Hakan Gökcesu:
Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization. AAAI 2024: 20700-20708 - 2023
- [j6]Hakan Gökcesu, Özgür Erçetin, Gökhan Kalem, Salih Ergüt:
QoE Evaluation in Adaptive Streaming: Enhanced MDT with Deep Learning. J. Netw. Syst. Manag. 31(2): 41 (2023) - [c2]Hakan Gökcesu, Özgür Erçetin, Gökhan Kalem:
Enhancing QoE Assessment in FWA: Leveraging Network KPIs and User Feedback Analysis. CAMAD 2023: 233-239 - [i38]Kaan Gökcesu, Hakan Gökcesu:
Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback. CoRR abs/2303.06526 (2023) - [i37]Kaan Gökcesu, Hakan Gökcesu:
A 2-opt Algorithm for Locally Optimal Set Partition Optimization. CoRR abs/2303.08219 (2023) - [i36]Kaan Gökcesu, Hakan Gökcesu:
Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope. CoRR abs/2303.11958 (2023) - [i35]Kaan Gökcesu, Hakan Gökcesu:
Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions. CoRR abs/2303.14293 (2023) - [i34]Kaan Gökcesu, Hakan Gökcesu:
A Note On Nonlinear Regression Under L2 Loss. CoRR abs/2303.17745 (2023) - [i33]Kaan Gökcesu, Hakan Gökcesu:
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses. CoRR abs/2304.02141 (2023) - 2022
- [c1]Gan Huang, Özgür Erçetin, Hakan Gökcesu, Gökhan Kalem:
Deep Learning-Based QoE Prediction for Streaming Services in Mobile Networks. WiMob 2022: 327-332 - [i32]Kaan Gökcesu, Hakan Gökcesu:
Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions. CoRR abs/2201.07164 (2022) - [i31]Kaan Gökcesu, Hakan Gökcesu:
Nonconvex Extension of Generalized Huber Loss for Robust Learning and Pseudo-Mode Statistics. CoRR abs/2202.11141 (2022) - [i30]Kaan Gökcesu, Hakan Gökcesu:
Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows. CoRR abs/2203.02997 (2022) - [i29]Kaan Gökcesu, Hakan Gökcesu:
A Linearithmic Time Locally Optimal Algorithm for the Multiway Number Partition Optimization. CoRR abs/2203.05618 (2022) - [i28]Kaan Gökcesu, Hakan Gökcesu:
Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity. CoRR abs/2203.08027 (2022) - [i27]Kaan Gökcesu, Hakan Gökcesu:
Merging Knockout and Round-Robin Tournaments: A Flexible Linear Elimination Tournament Design. CoRR abs/2203.12011 (2022) - [i26]Kaan Gökcesu, Hakan Gökcesu:
Blind Source Separation for Mixture of Sinusoids with Near-Linear Computational Complexity. CoRR abs/2203.14324 (2022) - [i25]Kaan Gökcesu, Hakan Gökcesu:
Second Order Regret Bounds Against Generalized Expert Sequences under Partial Bandit Feedback. CoRR abs/2204.06660 (2022) - [i24]Kaan Gökcesu, Hakan Gökcesu:
Robust, Nonparametric, Efficient Decomposition of Spectral Peaks under Distortion and Interference. CoRR abs/2204.08411 (2022) - [i23]Kaan Gökcesu, Hakan Gökcesu:
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression. CoRR abs/2206.00744 (2022) - [i22]Kaan Gökcesu, Hakan Gökcesu:
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions. CoRR abs/2206.02383 (2022) - [i21]Kaan Gökcesu, Hakan Gökcesu:
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows. CoRR abs/2206.14749 (2022) - [i20]Hakan Gökcesu, Suleyman Serdar Kozat:
Optimal Tracking in Prediction with Expert Advice. CoRR abs/2208.03708 (2022) - [i19]Kaan Gökcesu, Hakan Gökcesu:
1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers. CoRR abs/2209.03246 (2022) - 2021
- [j5]Alper Köse, Mutlu Koca, Emin Anarim, Muriel Médard, Hakan Gökcesu:
Graph-Theoretical Dynamic User Pairing for Downlink NOMA Systems. IEEE Commun. Lett. 25(10): 3234-3238 (2021) - [j4]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): 468-480 (2021) - [i18]Hakan Gökcesu, Özgür Erçetin, Gökhan Kalem, Salih Ergüt:
Virtual Drive-Tests: A Case for Predicting QoE in Adaptive Video Streaming. CoRR abs/2107.12068 (2021) - [i17]Kaan Gökcesu, Hakan Gökcesu:
Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles. CoRR abs/2108.06411 (2021) - [i16]Kaan Gökcesu, Hakan Gökcesu:
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error. CoRR abs/2108.08780 (2021) - [i15]Kaan Gökcesu, Hakan Gökcesu:
Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives. CoRR abs/2108.10859 (2021) - [i14]Kaan Gökcesu, Hakan Gökcesu:
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics. CoRR abs/2108.12627 (2021) - [i13]Kaan Gökcesu, Hakan Gökcesu:
Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering. CoRR abs/2109.02082 (2021) - [i12]Kaan Gökcesu, Hakan Gökcesu:
Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection. CoRR abs/2109.04809 (2021) - [i11]Kaan Gökcesu, Hakan Gökcesu:
A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization. CoRR abs/2109.07882 (2021) - [i10]Kaan Gökcesu, Hakan Gökcesu:
Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits. CoRR abs/2109.09212 (2021) - [i9]Kaan Gökcesu, Hakan Gökcesu:
Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses. CoRR abs/2109.13786 (2021) - [i8]Kaan Gökcesu, Hakan Gökcesu:
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses. CoRR abs/2111.00468 (2021) - 2020
- [i7]Kaan Gökcesu, Hakan Gökcesu:
A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice. CoRR abs/2009.04372 (2020) - [i6]Kaan Gökcesu, Hakan Gökcesu:
Recursive Experts: An Efficient Optimal Mixture of Learning Systems in Dynamic Environments. CoRR abs/2009.09249 (2020)
2010 – 2019
- 2019
- [j3]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): 923-937 (2019) - [j2]Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat:
Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. 67(4): 993-1005 (2019) - [j1]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): 4383-4398 (2019) - [i5]Hakan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. CoRR abs/1904.09369 (2019) - [i4]Hakan Gökcesu, Suleyman Serdar Kozat:
Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. CoRR abs/1907.00497 (2019) - [i3]Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. CoRR abs/1911.11122 (2019) - 2017
- [i2]Noyan Evirgen, Alper Köse, Hakan Gökcesu:
An Asymptotically Optimal Algorithm for Communicating Multiplayer Multi-Armed Bandit Problems. CoRR abs/1712.00656 (2017) - [i1]Alper Köse, Noyan Evirgen, Hakan Gökcesu, Kaan Gökcesu, Muriel Médard:
Nearly Optimal Scheduling of Wireless Ad Hoc Networks in Polynomial Time. CoRR abs/1712.00658 (2017)
Coauthor Index
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