Online algorithms for the multi-armed bandit problem with Markovian rewards. - Cem Tekin; Mingyan Liu (Allerton, 2010)

Multi-User Signal Classification via Spectral Correlation. - Steven Hong; Eric C. Like; Zhiqiang Wu 001; Cem Tekin (CCNC, 2010)

Spectrum Sharing as Spatial Congestion Games - Sahand Haji Ali Ahmad; Cem Tekin; Mingyan Liu; Richard Southwell; Jianwei Huang 001 (CoRR, 2010)

Adaptive learning of uncontrolled restless bandits with logarithmic regret. - Cem Tekin; Mingyan Liu (Allerton, 2011)

Performance and Convergence of Multi-user Online Learning. - Cem Tekin; Mingyan Liu (GAMENETS, 2011)

Online learning in opportunistic spectrum access: A restless bandit approach. - Cem Tekin; Mingyan Liu (INFOCOM, 2011)

Approximately optimal adaptive learning in opportunistic spectrum access. - Cem Tekin; Mingyan Liu (INFOCOM, 2012)

Online learning in decentralized multi-user spectrum access with synchronized explorations. - Cem Tekin; Mingyan Liu (MILCOM, 2012)

Online Learning in Decentralized Multiuser Resource Sharing Problems - Cem Tekin; Mingyan Liu (CoRR, 2012)

Online Learning of Rested and Restless Bandits. - Cem Tekin; Mingyan Liu (IEEE Trans. Inf. Theory, 2012)

Atomic Congestion Games on Graphs and Their Applications in Networking. - Cem Tekin; Mingyan Liu; Richard Southwell; Jianwei Huang 001; Sahand Haji Ali Ahmad (IEEE/ACM Trans. Netw., 2012)

Distributed online Big Data classification using context information. - Cem Tekin; Mihaela van der Schaar (Allerton, 2013)

Learning optimal classifier chains for real-time big data mining. - Jie Xu 001; Cem Tekin; Mihaela van der Schaar (Allerton, 2013)

Decentralized Online Big Data Classification - a Bandit Framework. - Cem Tekin; Mihaela van der Schaar (CoRR, 2013)

Online Learning in a Contract Selection Problem - Cem Tekin; Mingyan Liu (CoRR, 2013)

Context-adaptive big data stream mining. - Cem Tekin; Luca Canzian; Mihaela van der Schaar (Allerton, 2014)

An experts learning approach to mobile service offloading. - Cem Tekin; Mihaela van der Schaar (Allerton, 2014)

Clustering based online learning in recommender systems: A bandit approach. - Linqi Song; Cem Tekin; Mihaela van der Schaar (ICASSP, 2014)

Discovering, Learning and Exploiting Relevance. - Cem Tekin; Mihaela van der Schaar (NIPS, 2014)

Jamming Bandits. - SaiDhiraj Amuru; Cem Tekin; Mihaela van der Schaar; R. Michael Buehrer (CoRR, 2014)

Global Bandits with Holder Continuity. - Onur Atan; Cem Tekin; Mihaela van der Schaar (CoRR, 2014)

eTutor: Online Learning for Personalized Education. - Cem Tekin; Mihaela van der Schaar (CoRR, 2014)

Distributed Online Learning in Social Recommender Systems. - Cem Tekin; Simpson Zhang; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2014)

Global Multi-armed Bandits with Hölder Continuity. - Onur Atan; Cem Tekin; Mihaela van der Schaar (AISTATS, 2015)

A data-driven approach for matching clinical expertise to individual cases. - Onur Atan; William Hsu; Cem Tekin; Mihaela van der Schaar (ICASSP, 2015)

eTutor: Online learning for personalized education. - Cem Tekin; Jonas Braun; Mihaela van der Schaar (ICASSP, 2015)

A systematic learning method for optimal jamming. - SaiDhiraj Amuru; Cem Tekin; Mihaela van der Schaar; R. Michael Buehrer (ICC, 2015)

Staged Multi-armed Bandits. - Cem Tekin; Mihaela van der Schaar (CoRR, 2015)

Online Learning Methods for Networking. - Cem Tekin; Mingyan Liu (Found. Trends Netw., 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)

RELEAF: An Algorithm for Learning and Exploiting Relevance. - Cem Tekin; Mihaela van der Schaar (IEEE J. Sel. Top. Signal 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)

Active Learning in Context-Driven Stream Mining With an Application to Image Mining. - Cem Tekin; Mihaela van der Schaar (IEEE Trans. Image Process., 2015)

Contextual Online Learning for Multimedia Content Aggregation. - Cem Tekin; Mihaela van der Schaar (IEEE Trans. Multim., 2015)

Distributed Online Learning via Cooperative Contextual Bandits. - Cem Tekin; Mihaela van der Schaar (IEEE Trans. Signal Process., 2015)

Distributed Multi-Agent Online Learning Based on Global Feedback. - Jie Xu 001; Cem Tekin; Simpson Zhang; Mihaela van der Schaar (IEEE Trans. Signal Process., 2015)

Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. - Cem Tekin; Jinsung Yoon; Mihaela van der Schaar (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

Gambler's Ruin Bandit Problem. - Nima Akbarzadeh; Cem Tekin (Allerton, 2016)

Online Contextual Influence Maximization in social networks. - Anil Ömer Saritaç; Altug Karakurt; Cem Tekin (Allerton, 2016)

Contextual learning for unit commitment with renewable energy sources. - Hyun-Suk Lee; Cem Tekin; Mihaela van der Schaar; Jang-Won Lee 001 (GlobalSIP, 2016)

A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. - Cong Shen 001; Cem Tekin; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 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)

Online Learning in Large-Scale Contextual Recommender Systems. - Linqi Song; Cem Tekin; Mihaela van der Schaar (IEEE Trans. Serv. Comput., 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)

Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret. - Anil Ömer Saritaç; Cem Tekin (GlobalSIP, 2017)

Multi-Objective contextual bandits with a dominant objective. - Cem Tekin; Eralp Turgay (MLSP, 2017)

Online classification with contextual exponential weights for disease diagnostics. - Kubilay Eksioglu; Muhammad Anjum Qureshi; Cem Tekin (SIU, 2017)

Learning traffic congestion by contextual bandit problems for optimum localization. - Umitcan Sahin; Veysel Yücesoy; Aykut Koç; Cem Tekin (SIU, 2017)

Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret. - Anil Ömer Saritaç; Cem Tekin (CoRR, 2017)

Multi-objective Contextual Multi-armed Bandit Problem with a Dominant Objective. - Cem Tekin; Eralp Turgay (CoRR, 2017)

Actionable intelligence and online learning for semantic computing. - Cem Tekin; Mihaela van der Schaar (Encycl. Semantic Comput. Robotic Intell., 2017)

Adaptive Ensemble Learning With Confidence Bounds. - Cem Tekin; Jinsung Yoon; Mihaela van der Schaar (IEEE Trans. Signal Process., 2017)

Multi-objective Contextual Bandit Problem with Similarity Information. - Eralp Turgay; Doruk Öner; Cem Tekin (AISTATS, 2018)

Online cross-layer learning in heterogeneous cognitive radio networks without CSI. - Muhammad Anjum Qureshi; Cem Tekin (SIU, 2018)

Risk-averse ambulance redeployment via multi-armed bandits. - Umitcan Sahin; Veysel Yücesoy; Aykut Koç; Cem Tekin (SIU, 2018)

Combinatorial Multi-Objective Multi-Armed Bandit Problem. - Doruk Öner; Altug Karakurt; Atilla Eryilmaz; Cem Tekin (CoRR, 2018)

Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. - Alihan Hüyük; Cem Tekin (CoRR, 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 001 (IEEE J. Sel. Top. Signal Process., 2018)

Generalized Global Bandit and Its Application in Cellular Coverage Optimization. - Cong Shen 001; Ruida Zhou; Cem Tekin; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2018)

Global Bandits. - Onur Atan; Cem Tekin; Mihaela van der Schaar (IEEE Trans. Neural Networks Learn. Syst., 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)

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. - Sabrina Klos; Cem Tekin; Mihaela van der Schaar; Anja Klein 002 (IEEE/ACM Trans. Netw., 2018)

Online Learning in Limit Order Book Trade Execution. - Nima Akbarzadeh; Cem Tekin; Mihaela van der Schaar (IEEE Trans. Signal Process., 2018)

Multi-objective Contextual Multi-armed Bandit With a Dominant Objective. - Cem Tekin; Eralp Turgay (IEEE Trans. Signal Process., 2018)

Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. - Alihan Hüyük; Cem Tekin (AISTATS, 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 (NeurIPS, 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)

Lexicographic Multiarmed Bandit. - Alihan Hüyük; Cem Tekin (CoRR, 2019)

Online Contextual Influence Maximization With Costly Observations. - Anil Ömer Saritaç; Altug Karakurt; Cem Tekin (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. - Andi Nika; Sepehr Elahi; Cem Tekin (AISTATS, 2020)

Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. - Muhammad Anjum Qureshi; Cem Tekin (INFOCOM, 2020)

Pareto Active Learning with Gaussian Processes and Adaptive Discretization. - Andi Nika; Kerem Bozgan; Çagin Ararat; Cem Tekin (CoRR, 2020)

Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. - Muhammad Anjum Qureshi; Cem Tekin (IEEE Commun. Lett., 2020)

Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. - Muhammad Anjum Qureshi; Cem Tekin (IEEE Trans. Cogn. Commun. Netw., 2020)

Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. - Alihan Hüyük; Cem Tekin (IEEE/ACM Trans. Netw., 2020)

Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms. - Ilker Demirel; Cem Tekin (AISTATS, 2021)

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. - Alihan Hüyük; Daniel Jarrett; Cem Tekin; Mihaela van der Schaar (ICLR, 2021)

Contextual Combinatorial Volatile Bandits via Gaussian Processes. - Andi Nika; Sepehr Elahi; Cem Tekin (CoRR, 2021)

Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes. - Sepehr Elahi; Baran Atalar; Sevda Ögüt; Cem Tekin (CoRR, 2021)

Safe Linear Leveling Bandits. - Ilker Demirel; Mehmet Ufuk Ozdemir; Cem Tekin (CoRR, 2021)

Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. - Alihan Hüyük; Cem Tekin (Mach. Learn., 2021)

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. - Alireza Javanmardi; Muhammad Anjum Qureshi; Cem Tekin (IEEE Trans. Commun., 2021)

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. - Muhammad Anjum Qureshi; Andi Nika; Cem Tekin (IEEE Trans. Commun., 2021)

Exploiting Relevance for Online Decision-Making in High-Dimensions. - Eralp Turgay; Cem Bulucu; Cem Tekin (IEEE Trans. Signal Process., 2021)

ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. - Ilker Demirel; Ahmet Alparslan Celik; Cem Tekin (NeurIPS, 2022)

Federated Multi-Armed Bandits Under Byzantine Attacks. - Ilker Demirel; Yigit Yildirim; Cem Tekin (CoRR, 2022)

Robust Pareto Set Identification with Contaminated Bandit Feedback. - Kerem Bozgan; Cem Tekin (CoRR, 2022)

Feedback Adaptive Learning for Medical and Educational Application Recommendation. - Cem Tekin; Sepehr Elahi; Mihaela van der Schaar (IEEE Trans. Serv. Comput., 2022)

Vector Optimization with Stochastic Bandit Feedback. - Çagin Ararat; Cem Tekin (AISTATS, 2023)

Robust Bayesian Satisficing. - Artun Saday; Yasar Cahit Yildirim; Cem Tekin (NeurIPS, 2023)

Contextual Combinatorial Multi-output GP Bandits with Group Constraints. - Sepehr Elahi; Baran Atalar; Sevda Ögüt; Cem Tekin (Trans. Mach. Learn. Res., 2023)

Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization. - Sepehr Elahi; Andi Nika; Cem Tekin (IEEE Trans. Netw. Sci. Eng., 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., 2023)

Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits. - Efe Mert Karagözlü; Yasar Cahit Yildirim; Çagin Ararat; Cem Tekin (AISTATS, 2024)

Multi-Armed Bandits with Probing. - Eray Can Elumar; Cem Tekin; Osman Yagan (ISIT, 2024)

Vector Optimization with Gaussian Process Bandits. - Ilter Onat Korkmaz; Yasar Cahit Yildirim; Çagin Ararat; Cem Tekin (CoRR, 2024)

VOPy: A Framework for Black-box Vector Optimization. - Yasar Cahit Yildirim; Efe Mert Karagözlü; Ilter Onat Korkmaz; Çagin Ararat; Cem Tekin (CoRR, 2024)

Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization. - Andi Nika; Sepehr Elahi; Çagin Ararat; Cem Tekin (Trans. Mach. Learn. Res., 2025)

Bandits with Anytime Knapsacks. - Eray Can Elumar; Cem Tekin; Osman Yagan (CoRR, 2025)

Multi-Armed Bandits With Costly Probes. - Eray Can Elumar; Cem Tekin; Osman Yagan (IEEE Trans. Inf. Theory, 2025)

Cost-aware LLM-based Online Dataset Annotation. - Eray Can Elumar; Cem Tekin; Osman Yagan (CoRR, 2025)

Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks. - Artun Saday; Yasar Cahit Yildirim; Cem Tekin (CoRR, 2025)

Federated Multiarmed Bandits Under Byzantine Attacks. - Artun Saday; Ilker Demirel; Yigit Yildirim; Cem Tekin (IEEE Trans. Artif. Intell., 2025)