Cem Tekin - RankMe

130 papers A* 8A 7B 1Misc 4Journal 88Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Vector Optimization with Gaussian Process Bandits. Mach. Learn. Ilter Onat Korkmaz, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin
2025	J	`jnl`	Bandits with Anytime Knapsacks. CoRR Eray Can Elumar, Cem Tekin, Osman Yagan
2025	J	`jnl`	Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization. Trans. Mach. Learn. Res. Andi Nika, Sepehr Elahi, Çagin Ararat, Cem Tekin
2025	J	`jnl`	Contextual Combinatorial Bandits With Changing Action Sets Via Gaussian Processes. Trans. Mach. Learn. Res. Andi Nika, Sepehr Elahi, Cem Tekin
2025	J	`jnl`	Cost-aware LLM-based Online Dataset Annotation. CoRR Eray Can Elumar, Cem Tekin, Osman Yagan
2025	J	`jnl`	Federated Multiarmed Bandits Under Byzantine Attacks. IEEE Trans. Artif. Intell. Artun Saday, Ilker Demirel, Yigit Yildirim, Cem Tekin
2025	J	`jnl`	Multi-Armed Bandits With Costly Probes. IEEE Trans. Inf. Theory Eray Can Elumar, Cem Tekin, Osman Yagan
2025	J	`jnl`	Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks. CoRR Artun Saday, Yasar Cahit Yildirim, Cem Tekin
2025	A*	`conf`	Unified Screening for Multiple Diseases. ICML Yigit Narter, Alihan Hüyük, Mihaela van der Schaar, Cem Tekin
2024	A	`conf`	Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits. AISTATS Efe Mert Karagözlü, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin
2024	B	`conf`	Multi-Armed Bandits with Probing. ISIT Eray Can Elumar, Cem Tekin, Osman Yagan
2024	J	`jnl`	VOPy: A Framework for Black-box Vector Optimization. CoRR Yasar Cahit Yildirim, Efe Mert Karagözlü, Ilter Onat Korkmaz, Çagin Ararat, Cem Tekin
2024	J	`jnl`	Vector Optimization with Gaussian Process Bandits. CoRR Ilter Onat Korkmaz, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin
2023	J	`jnl`	Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. IEEE Trans. Neural Networks Learn. Syst. Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
2023	J	`jnl`	Contextual Combinatorial Multi-output GP Bandits with Group Constraints. Trans. Mach. Learn. Res. Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin
2023	J	`jnl`	Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization. IEEE Trans. Netw. Sci. Eng. Sepehr Elahi, Andi Nika, Cem Tekin
2023	A*	`conf`	Robust Bayesian Satisficing. NeurIPS Artun Saday, Yasar Cahit Yildirim, Cem Tekin
2023	J	`jnl`	Robust Bayesian Satisficing. CoRR Artun Saday, Yasar Cahit Yildirim, Cem Tekin
2023	A	`conf`	Vector Optimization with Stochastic Bandit Feedback. AISTATS Çagin Ararat, Cem Tekin
2022	A*	`conf`	ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. NeurIPS Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
2022	J	`jnl`	Federated Multi-Armed Bandits Under Byzantine Attacks. CoRR Ilker Demirel, Yigit Yildirim, Cem Tekin
2022	J	`jnl`	Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Trans. Serv. Comput. Cem Tekin, Sepehr Elahi, Mihaela van der Schaar
2022	J	`jnl`	Robust Pareto Set Identification with Contaminated Bandit Feedback. CoRR Kerem Bozgan, Cem Tekin
2021	A	`conf`	Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms. AISTATS Ilker Demirel, Cem Tekin
2021	J	`jnl`	Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
2021	J	`jnl`	Contextual Combinatorial Volatile Bandits via Gaussian Processes. CoRR Andi Nika, Sepehr Elahi, Cem Tekin
2021	J	`jnl`	Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes. CoRR Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin
2021	J	`jnl`	Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. IEEE Trans. Commun. Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin
2021	J	`jnl`	ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. CoRR Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
2021	A*	`conf`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
2021	J	`jnl`	Exploiting Relevance for Online Decision-Making in High-Dimensions. IEEE Trans. Signal Process. Eralp Turgay, Cem Bulucu, Cem Tekin
2021	J	`jnl`	Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. IEEE Trans. Commun. Muhammad Anjum Qureshi, Andi Nika, Cem Tekin
2021	J	`jnl`	Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. Alihan Hüyük, Cem Tekin
2021	J	`jnl`	Safe Linear Leveling Bandits. CoRR Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin
2021	J	`jnl`	Vector Optimization with Stochastic Bandit Feedback. CoRR Çagin Ararat, Cem Tekin
2020	A	`conf`	Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. AISTATS Andi Nika, Sepehr Elahi, Cem Tekin
2020	J	`jnl`	Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. IEEE Trans. Cogn. Commun. Netw. Muhammad Anjum Qureshi, Cem Tekin
2020	A*	`conf`	Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. INFOCOM Muhammad Anjum Qureshi, Cem Tekin
2020	J	`jnl`	Pareto Active Learning with Gaussian Processes and Adaptive Discretization. CoRR Andi Nika, Kerem Bozgan, Çagin Ararat, Cem Tekin
2020	J	`jnl`	Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. IEEE Commun. Lett. Muhammad Anjum Qureshi, Cem Tekin
2020	J	`jnl`	Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. Alihan Hüyük, Cem Tekin
2019	A	`conf`	Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS Alihan Hüyük, Cem Tekin
2019	J	`jnl`	Exploiting Relevance for Online Decision-Making in High-Dimensions. CoRR Eralp Turgay, Cem Bulucu, Cem Tekin
2019	A*	`conf`	Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness. NeurIPS Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu
2019	J	`jnl`	Lexicographic Multiarmed Bandit. CoRR Alihan Hüyük, Cem Tekin
2019	J	`jnl`	Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. CoRR Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu
2019	J	`jnl`	Online Contextual Influence Maximization With Costly Observations. IEEE Trans. Signal Inf. Process. over Networks Anil Ömer Saritaç, Altug Karakurt, Cem Tekin
2019	J	`jnl`	Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR Alihan Hüyük, Cem Tekin
2018	J	`jnl`	Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. IEEE J. Sel. Top. Signal Process. Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
2018	J	`jnl`	Combinatorial Multi-Objective Multi-Armed Bandit Problem. CoRR Doruk Öner, Altug Karakurt, Atilla Eryilmaz, Cem Tekin
2018	J	`jnl`	Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. IEEE/ACM Trans. Netw. Sabrina Klos, Cem Tekin, Mihaela van der Schaar, Anja Klein
2018	J	`jnl`	Functional Contour-following via Haptic Perception and Reinforcement Learning. IEEE Trans. Haptics Randall B. Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J. Santos
2018	J	`jnl`	Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar
2018	J	`jnl`	Global Bandits. IEEE Trans. Neural Networks Learn. Syst. Onur Atan, Cem Tekin, Mihaela van der Schaar
2018	A	`conf`	Multi-objective Contextual Bandit Problem with Similarity Information. AISTATS Eralp Turgay, Doruk Öner, Cem Tekin
2018	J	`jnl`	Multi-objective Contextual Bandit Problem with Similarity Information. CoRR Eralp Turgay, Doruk Öner, Cem Tekin
2018	J	`jnl`	Multi-objective Contextual Multi-armed Bandit With a Dominant Objective. IEEE Trans. Signal Process. Cem Tekin, Eralp Turgay
2018	J	`jnl`	Online Learning in Limit Order Book Trade Execution. IEEE Trans. Signal Process. Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
2018	—	`conf`	Online cross-layer learning in heterogeneous cognitive radio networks without CSI. SIU Muhammad Anjum Qureshi, Cem Tekin
2018	—	`conf`	Risk-averse ambulance redeployment via multi-armed bandits. SIU Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin
2018	J	`jnl`	Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR Alihan Hüyük, Cem Tekin
2017	J	`jnl`	Actionable intelligence and online learning for semantic computing. Encycl. Semantic Comput. Robotic Intell. Cem Tekin, Mihaela van der Schaar
2017	J	`jnl`	Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2017	J	`jnl`	Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret. CoRR Anil Ömer Saritaç, Cem Tekin
2017	—	`conf`	Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret. GlobalSIP Anil Ömer Saritaç, Cem Tekin
2017	J	`jnl`	Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. CoRR Sabrina Müller, Cem Tekin, Mihaela van der Schaar, Anja Klein
2017	—	`conf`	Learning traffic congestion by contextual bandit problems for optimum localization. SIU Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin
2017	—	`conf`	Multi-Objective contextual bandits with a dominant objective. MLSP Cem Tekin, Eralp Turgay
2017	J	`jnl`	Multi-objective Contextual Multi-armed Bandit Problem with a Dominant Objective. CoRR Cem Tekin, Eralp Turgay
2017	—	`conf`	Online classification with contextual exponential weights for disease diagnostics. SIU Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin
2017	—	`conf`	Online learning in limit order book trade execution. GlobalSIP Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. IEEE J. Sel. Areas Commun. Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	—	`conf`	Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2016	J	`jnl`	Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits. IEEE Trans. Computers Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar
2016	—	`conf`	Contextual learning for unit commitment with renewable energy sources. GlobalSIP Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
2016	—	`conf`	Gambler's Ruin Bandit Problem. Allerton Nima Akbarzadeh, Cem Tekin
2016	J	`jnl`	Gambler's Ruin Bandit Problem. CoRR Nima Akbarzadeh, Cem Tekin
2016	J	`jnl`	Jamming Bandits - A Novel Learning Method for Optimal Jamming. IEEE Trans. Wirel. Commun. SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2016	—	`conf`	Online Contextual Influence Maximization in social networks. Allerton Anil Ömer Saritaç, Altug Karakurt, Cem Tekin
2016	J	`jnl`	Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. Linqi Song, Cem Tekin, Mihaela van der Schaar
2015	Misc	`conf`	A data-driven approach for matching clinical expertise to individual cases. ICASSP Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar
2015	—	`conf`	A systematic learning method for optimal jamming. ICC SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2015	J	`jnl`	Active Learning in Context-Driven Stream Mining With an Application to Image Mining. IEEE Trans. Image Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Adaptive Ensemble Learning with Confidence Bounds. CoRR Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2015	J	`jnl`	Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition. IEEE J. Sel. Top. Signal Process. Onur Atan, Yiannis Andreopoulos, Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Contextual Online Learning for Multimedia Content Aggregation. CoRR Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Contextual Online Learning for Multimedia Content Aggregation. IEEE Trans. Multim. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis. IEEE Trans. Emerg. Top. Comput. Cem Tekin, Onur Atan, Mihaela van der Schaar
2015	J	`jnl`	Distributed Multi-Agent Online Learning Based on Global Feedback. IEEE Trans. Signal Process. Jie Xu, Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2015	J	`jnl`	Distributed Online Learning via Cooperative Contextual Bandits. IEEE Trans. Signal Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Global Bandits. CoRR Onur Atan, Cem Tekin, Mihaela van der Schaar
2015	A	`conf`	Global Multi-armed Bandits with Hölder Continuity. AISTATS Onur Atan, Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Online Learning Methods for Networking. Found. Trends Netw. Cem Tekin, Mingyan Liu
2015	J	`jnl`	RELEAF: An Algorithm for Learning and Exploiting Relevance. CoRR Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	RELEAF: An Algorithm for Learning and Exploiting Relevance. IEEE J. Sel. Top. Signal Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Staged Multi-armed Bandits. CoRR Cem Tekin, Mihaela van der Schaar
2015	Misc	`conf`	eTutor: Online learning for personalized education. ICASSP Cem Tekin, Jonas Braun, Mihaela van der Schaar
2014	—	`conf`	An experts learning approach to mobile service offloading. Allerton Cem Tekin, Mihaela van der Schaar
2014	Misc	`conf`	Bandit framework for systematic learning in wireless video-based face recognition. ICASSP Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos
2014	Misc	`conf`	Clustering based online learning in recommender systems: A bandit approach. ICASSP Linqi Song, Cem Tekin, Mihaela van der Schaar
2014	—	`conf`	Context-adaptive big data stream mining. Allerton Cem Tekin, Luca Canzian, Mihaela van der Schaar
2014	—	`conf`	Discovering, Learning and Exploiting Relevance. NIPS Cem Tekin, Mihaela van der Schaar
2014	J	`jnl`	Distributed Online Learning in Social Recommender Systems. IEEE J. Sel. Top. Signal Process. Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2014	J	`jnl`	Global Bandits with Holder Continuity. CoRR Onur Atan, Cem Tekin, Mihaela van der Schaar
2014	J	`jnl`	Jamming Bandits. CoRR SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2014	J	`jnl`	eTutor: Online Learning for Personalized Education. CoRR Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Decentralized Online Big Data Classification - a Bandit Framework. CoRR Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Distributed Online Big Data Classification Using Context Information. CoRR Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Distributed Online Learning in Social Recommender Systems. CoRR Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2013	J	`jnl`	Distributed Online Learning via Cooperative Contextual Bandits. CoRR Cem Tekin, Mihaela van der Schaar
2013	—	`conf`	Distributed online Big Data classification using context information. Allerton Cem Tekin, Mihaela van der Schaar
2013	—	`conf`	Learning optimal classifier chains for real-time big data mining. Allerton Jie Xu, Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Online Learning in a Contract Selection Problem CoRR Cem Tekin, Mingyan Liu
2012	A*	`conf`	Approximately optimal adaptive learning in opportunistic spectrum access. INFOCOM Cem Tekin, Mingyan Liu
2012	J	`jnl`	Atomic Congestion Games on Graphs and Their Applications in Networking. IEEE/ACM Trans. Netw. Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang, Sahand Haji Ali Ahmad
2012	J	`jnl`	Online Learning in Decentralized Multiuser Resource Sharing Problems CoRR Cem Tekin, Mingyan Liu
2012	J	`jnl`	Online Learning of Rested and Restless Bandits. IEEE Trans. Inf. Theory Cem Tekin, Mingyan Liu
2012	—	`conf`	Online learning in decentralized multi-user spectrum access with synchronized explorations. MILCOM Cem Tekin, Mingyan Liu
2011	J	`jnl`	Adaptive Learning of Uncontrolled Restless Bandits with Logarithmic Regret CoRR Cem Tekin, Mingyan Liu
2011	—	`conf`	Adaptive learning of uncontrolled restless bandits with logarithmic regret. Allerton Cem Tekin, Mingyan Liu
2011	J	`jnl`	Online Learning of Rested and Restless Bandits CoRR Cem Tekin, Mingyan Liu
2011	A*	`conf`	Online learning in opportunistic spectrum access: A restless bandit approach. INFOCOM Cem Tekin, Mingyan Liu
2011	J	`jnl`	Performance and Convergence of Multi-user Online Learning CoRR Cem Tekin, Mingyan Liu
2011	—	`conf`	Performance and Convergence of Multi-user Online Learning. GAMENETS Cem Tekin, Mingyan Liu
2010	—	`conf`	Multi-User Signal Classification via Spectral Correlation. CCNC Steven Hong, Eric C. Like, Zhiqiang Wu, Cem Tekin
2010	J	`jnl`	Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards CoRR Cem Tekin, Mingyan Liu
2010	J	`jnl`	Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach CoRR Cem Tekin, Mingyan Liu
2010	—	`conf`	Online algorithms for the multi-armed bandit problem with Markovian rewards. Allerton Cem Tekin, Mingyan Liu
2010	J	`jnl`	Spectrum Sharing as Spatial Congestion Games CoRR Sahand Haji Ali Ahmad, Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang