Cem Tekin

According to our database, Cem Tekin authored at least 92 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values.

Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization.

Sepehr Elahi, Andi Nika, Cem Tekin

IEEE Trans. Netw. Sci. Eng., 2023

Robust Bayesian Satisficing.

Artun Saday, Yasar Cahit Yildirim, Cem Tekin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vector Optimization with Stochastic Bandit Feedback.

Çagin Ararat, Cem Tekin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Feedback Adaptive Learning for Medical and Educational Application Recommendation.

Cem Tekin, Sepehr Elahi, Mihaela van der Schaar

IEEE Trans. Serv. Comput., 2022

Robust Pareto Set Identification with Contaminated Bandit Feedback.

Kerem Bozgan, Cem Tekin

CoRR, 2022

Federated Multi-Armed Bandits Under Byzantine Attacks.

Ilker Demirel, Yigit Yildirim, Cem Tekin

CoRR, 2022

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine.

Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Exploiting Relevance for Online Decision-Making in High-Dimensions.

Eralp Turgay, Cem Bulucu, Cem Tekin

IEEE Trans. Signal Process., 2021

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits.

Muhammad Anjum Qureshi, Andi Nika, Cem Tekin

IEEE Trans. Commun., 2021

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum.

Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin

IEEE Trans. Commun., 2021

Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives.

Alihan Hüyük, Cem Tekin

Mach. Learn., 2021

Safe Linear Leveling Bandits.

Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin

CoRR, 2021

Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes.

Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin

CoRR, 2021

Contextual Combinatorial Volatile Bandits via Gaussian Processes.

Andi Nika, Sepehr Elahi, Cem Tekin

CoRR, 2021

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.

Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms.

Ilker Demirel, Cem Tekin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Thompson Sampling for Combinatorial Network Optimization in Unknown Environments.

Alihan Hüyük, Cem Tekin

IEEE/ACM Trans. Netw., 2020

Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks.

Muhammad Anjum Qureshi, Cem Tekin

IEEE Trans. Cogn. Commun. Netw., 2020

Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints.

Muhammad Anjum Qureshi, Cem Tekin

IEEE Commun. Lett., 2020

Pareto Active Learning with Gaussian Processes and Adaptive Discretization.

Andi Nika, Kerem Bozgan, Çagin Ararat, Cem Tekin

CoRR, 2020

Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks.

Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization.

Andi Nika, Sepehr Elahi, Cem Tekin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Online Contextual Influence Maximization With Costly Observations.

Anil Ömer Saritaç, Altug Karakurt, Cem Tekin

IEEE Trans. Signal Inf. Process. over Networks, 2019

Lexicographic Multiarmed Bandit.

Alihan Hüyük, Cem Tekin

CoRR, 2019

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention.

Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu

CoRR, 2019

Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness.

Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms.

Alihan Hüyük, Cem Tekin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Multi-objective Contextual Multi-armed Bandit With a Dominant Objective.

Cem Tekin, Eralp Turgay

IEEE Trans. Signal Process., 2018

Online Learning in Limit Order Book Trade Execution.

Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar

IEEE Trans. Signal Process., 2018

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing.

Sabrina Klos, Cem Tekin, Mihaela van der Schaar, Anja Klein

IEEE/ACM Trans. Netw., 2018

Functional Contour-following via Haptic Perception and Reinforcement Learning.

Randall B. Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J. Santos

IEEE Trans. Haptics, 2018

Global Bandits.

Onur Atan, Cem Tekin, Mihaela van der Schaar

IEEE Trans. Neural Networks Learn. Syst., 2018

Generalized Global Bandit and Its Application in Cellular Coverage Optimization.

Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2018

Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources.

Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee

IEEE J. Sel. Top. Signal Process., 2018

Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms.

Alihan Hüyük, Cem Tekin

CoRR, 2018

Combinatorial Multi-Objective Multi-Armed Bandit Problem.

Doruk Öner, Altug Karakurt, Atilla Eryilmaz, Cem Tekin

CoRR, 2018

Risk-averse ambulance redeployment via multi-armed bandits.

Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Online cross-layer learning in heterogeneous cognitive radio networks without CSI.

Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Multi-objective Contextual Bandit Problem with Similarity Information.

Eralp Turgay, Doruk Öner, Cem Tekin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Adaptive Ensemble Learning With Confidence Bounds.

Cem Tekin, Jinsung Yoon, Mihaela van der Schaar

IEEE Trans. Signal Process., 2017

Actionable intelligence and online learning for semantic computing.

Cem Tekin, Mihaela van der Schaar

Encycl. Semantic Comput. Robotic Intell., 2017

Multi-objective Contextual Multi-armed Bandit Problem with a Dominant Objective.

Cem Tekin, Eralp Turgay

CoRR, 2017

Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret.

Anil Ömer Saritaç, Cem Tekin

CoRR, 2017

Learning traffic congestion by contextual bandit problems for optimum localization.

Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online classification with contextual exponential weights for disease diagnostics.

Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Multi-Objective contextual bandits with a dominant objective.

Cem Tekin, Eralp Turgay

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret.

Anil Ömer Saritaç, Cem Tekin

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Jamming Bandits - A Novel Learning Method for Optimal Jamming.

SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer

IEEE Trans. Wirel. Commun., 2016

Online Learning in Large-Scale Contextual Recommender Systems.

Linqi Song, Cem Tekin, Mihaela van der Schaar

IEEE Trans. Serv. Comput., 2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits.

Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar

IEEE Trans. Computers, 2016

A Non-Stochastic Learning Approach to Energy Efficient Mobility Management.

Cong Shen, Cem Tekin, Mihaela van der Schaar

IEEE J. Sel. Areas Commun., 2016

Contextual learning for unit commitment with renewable energy sources.

Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Online Contextual Influence Maximization in social networks.

Anil Ömer Saritaç, Altug Karakurt, Cem Tekin

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Gambler's Ruin Bandit Problem.

Nima Akbarzadeh, Cem Tekin

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis.

Cem Tekin, Jinsung Yoon, Mihaela van der Schaar

Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2015

Distributed Multi-Agent Online Learning Based on Global Feedback.

Jie Xu, Cem Tekin, Simpson Zhang, Mihaela van der Schaar

IEEE Trans. Signal Process., 2015

Distributed Online Learning via Cooperative Contextual Bandits.

Cem Tekin, Mihaela van der Schaar

IEEE Trans. Signal Process., 2015

Contextual Online Learning for Multimedia Content Aggregation.

Cem Tekin, Mihaela van der Schaar

IEEE Trans. Multim., 2015

Active Learning in Context-Driven Stream Mining With an Application to Image Mining.

Cem Tekin, Mihaela van der Schaar

IEEE Trans. Image Process., 2015

Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis.

Cem Tekin, Onur Atan, Mihaela van der Schaar

IEEE Trans. Emerg. Top. Comput., 2015

RELEAF: An Algorithm for Learning and Exploiting Relevance.

Cem Tekin, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2015

Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition.

Onur Atan, Yiannis Andreopoulos, Cem Tekin, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2015

Online Learning Methods for Networking.

Cem Tekin, Mingyan Liu

Found. Trends Netw., 2015

Staged Multi-armed Bandits.

Cem Tekin, Mihaela van der Schaar

CoRR, 2015

A systematic learning method for optimal jamming.

SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer

Proceedings of the 2015 IEEE International Conference on Communications, 2015

eTutor: Online learning for personalized education.

Cem Tekin, Jonas Braun, Mihaela van der Schaar

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A data-driven approach for matching clinical expertise to individual cases.

Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Global Multi-armed Bandits with Hölder Continuity.

Onur Atan, Cem Tekin, Mihaela van der Schaar

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Distributed Online Learning in Social Recommender Systems.

Cem Tekin, Simpson Zhang, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2014

eTutor: Online Learning for Personalized Education.

Cem Tekin, Mihaela van der Schaar

CoRR, 2014

Global Bandits with Holder Continuity.

Onur Atan, Cem Tekin, Mihaela van der Schaar

CoRR, 2014

Jamming Bandits.

SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer

CoRR, 2014

Discovering, Learning and Exploiting Relevance.

Cem Tekin, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Clustering based online learning in recommender systems: A bandit approach.

Linqi Song, Cem Tekin, Mihaela van der Schaar

Proceedings of the IEEE International Conference on Acoustics, 2014

An experts learning approach to mobile service offloading.

Cem Tekin, Mihaela van der Schaar

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Context-adaptive big data stream mining.

Cem Tekin, Luca Canzian, Mihaela van der Schaar

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Online Learning in a Contract Selection Problem

Cem Tekin, Mingyan Liu

CoRR, 2013

Decentralized Online Big Data Classification - a Bandit Framework.

Cem Tekin, Mihaela van der Schaar

CoRR, 2013

Learning optimal classifier chains for real-time big data mining.

Jie Xu, Cem Tekin, Mihaela van der Schaar

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Distributed online Big Data classification using context information.

Cem Tekin, Mihaela van der Schaar

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Atomic Congestion Games on Graphs and Their Applications in Networking.

Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang, Sahand Haji Ali Ahmad

IEEE/ACM Trans. Netw., 2012

Online Learning of Rested and Restless Bandits.

Cem Tekin, Mingyan Liu

IEEE Trans. Inf. Theory, 2012

Online Learning in Decentralized Multiuser Resource Sharing Problems

Cem Tekin, Mingyan Liu

CoRR, 2012

Online learning in decentralized multi-user spectrum access with synchronized explorations.

Cem Tekin, Mingyan Liu

Proceedings of the 31st IEEE Military Communications Conference, 2012

Approximately optimal adaptive learning in opportunistic spectrum access.

Cem Tekin, Mingyan Liu

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011

Online learning in opportunistic spectrum access: A restless bandit approach.

Cem Tekin, Mingyan Liu

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Performance and Convergence of Multi-user Online Learning.

Cem Tekin, Mingyan Liu

Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

Adaptive learning of uncontrolled restless bandits with logarithmic regret.

Cem Tekin, Mingyan Liu

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Spectrum Sharing as Spatial Congestion Games

Sahand Haji Ali Ahmad, Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang

CoRR, 2010

Multi-User Signal Classification via Spectral Correlation.

Steven Hong, Eric C. Like, Zhiqiang Wu, Cem Tekin

Proceedings of the 7th IEEE Consumer Communications and Networking Conference, 2010

Online algorithms for the multi-armed bandit problem with Markovian rewards.

Cem Tekin, Mingyan Liu

Proceedings of the 48th Annual Allerton Conference on Communication, 2010