Cem Tekin

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 69

Top Venues

CoRR

AISTATS

IEEE Trans. Signal Process.

IEEE J. Sel. Top. Signal Process.

Publications

Efe Mert Karagözlü, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits. AISTATS (2024)
Çagin Ararat, Cem Tekin
Vector Optimization with Stochastic Bandit Feedback. AISTATS (2023)
Sepehr Elahi, Andi Nika, Cem Tekin
Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Artun Saday, Yasar Cahit Yildirim, Cem Tekin
Robust Bayesian Satisficing. CoRR (2023)
Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin
Contextual Combinatorial Multi-output GP Bandits with Group Constraints. Trans. Mach. Learn. Res. 2023 (2023)
Artun Saday, Yasar Cahit Yildirim, Cem Tekin
Robust Bayesian Satisficing. NeurIPS (2023)
Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. NeurIPS (2022)
Cem Tekin, Sepehr Elahi, Mihaela van der Schaar
Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Trans. Serv. Comput. 15 (4) (2022)
Kerem Bozgan, Cem Tekin
Robust Pareto Set Identification with Contaminated Bandit Feedback. CoRR (2022)
Ilker Demirel, Yigit Yildirim, Cem Tekin
Federated Multi-Armed Bandits Under Byzantine Attacks. CoRR (2022)
Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. CoRR (2021)
Ilker Demirel, Cem Tekin
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms. AISTATS (2021)
Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin
Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes. CoRR (2021)
Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR (2021)
Çagin Ararat, Cem Tekin
Vector Optimization with Stochastic Bandit Feedback. CoRR (2021)
Eralp Turgay, Cem Bulucu, Cem Tekin
Exploiting Relevance for Online Decision-Making in High-Dimensions. IEEE Trans. Signal Process. 69 (2021)
Muhammad Anjum Qureshi, Andi Nika, Cem Tekin
Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. IEEE Trans. Commun. 69 (6) (2021)
Alihan Hüyük, Cem Tekin
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. 110 (6) (2021)
Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin
Safe Linear Leveling Bandits. CoRR (2021)
Andi Nika, Sepehr Elahi, Cem Tekin
Contextual Combinatorial Volatile Bandits via Gaussian Processes. CoRR (2021)
Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR (2021)
Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin
Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. IEEE Trans. Commun. 69 (6) (2021)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. 28 (6) (2020)
Muhammad Anjum Qureshi, Cem Tekin
Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Muhammad Anjum Qureshi, Cem Tekin
Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. IEEE Commun. Lett. 24 (12) (2020)
Andi Nika, Sepehr Elahi, Cem Tekin
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. AISTATS (2020)
Andi Nika, Kerem Bozgan, Çagin Ararat, Cem Tekin
Pareto Active Learning with Gaussian Processes and Adaptive Discretization. CoRR (2020)
Muhammad Anjum Qureshi, Cem Tekin
Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. INFOCOM (2020)
Alihan Hüyük, Cem Tekin
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS (2019)
Anil Ömer Saritaç, Altug Karakurt, Cem Tekin
Online Contextual Influence Maximization With Costly Observations. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Eralp Turgay, Cem Bulucu, Cem Tekin
Exploiting Relevance for Online Decision-Making in High-Dimensions. CoRR (2019)
Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu
Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. CoRR (2019)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR (2019)
Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness. NeurIPS (2019)
Alihan Hüyük, Cem Tekin
Lexicographic Multiarmed Bandit. CoRR (2019)
Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar
Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. 12 (1) (2018)
Sabrina Klos, Cem Tekin, Mihaela van der Schaar, Anja Klein
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. IEEE/ACM Trans. Netw. 26 (3) (2018)
Eralp Turgay, Doruk Öner, Cem Tekin
Multi-objective Contextual Bandit Problem with Similarity Information. CoRR (2018)
Eralp Turgay, Doruk Öner, Cem Tekin
Multi-objective Contextual Bandit Problem with Similarity Information. AISTATS (2018)
Randall B. Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J. Santos
Functional Contour-following via Haptic Perception and Reinforcement Learning. IEEE Trans. Haptics 11 (1) (2018)
Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin
Risk-averse ambulance redeployment via multi-armed bandits. SIU (2018)
Doruk Öner, Altug Karakurt, Atilla Eryilmaz, Cem Tekin
Combinatorial Multi-Objective Multi-Armed Bandit Problem. CoRR (2018)
Onur Atan, Cem Tekin, Mihaela van der Schaar
Global Bandits. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Muhammad Anjum Qureshi, Cem Tekin
Online cross-layer learning in heterogeneous cognitive radio networks without CSI. SIU (2018)
Cem Tekin, Eralp Turgay
Multi-objective Contextual Multi-armed Bandit With a Dominant Objective. IEEE Trans. Signal Process. 66 (14) (2018)
Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
Online Learning in Limit Order Book Trade Execution. IEEE Trans. Signal Process. 66 (17) (2018)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR (2018)
Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
Online learning in limit order book trade execution. GlobalSIP (2017)
Anil Ömer Saritaç, Cem Tekin
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret. CoRR (2017)
Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. 65 (4) (2017)
Anil Ömer Saritaç, Cem Tekin
Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret. GlobalSIP (2017)
Cem Tekin, Eralp Turgay
Multi-objective Contextual Multi-armed Bandit Problem with a Dominant Objective. CoRR (2017)
Cem Tekin, Eralp Turgay
Multi-Objective contextual bandits with a dominant objective. MLSP (2017)
Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin
Online classification with contextual exponential weights for disease diagnostics. SIU (2017)
Sabrina Müller, Cem Tekin, Mihaela van der Schaar, Anja Klein
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. CoRR (2017)
Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin
Learning traffic congestion by contextual bandit problems for optimum localization. SIU (2017)
Cem Tekin, Mihaela van der Schaar
Actionable intelligence and online learning for semantic computing. Encycl. Semantic Comput. Robotic Intell. 1 (1) (2017)
SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
Jamming Bandits - A Novel Learning Method for Optimal Jamming. IEEE Trans. Wirel. Commun. 15 (4) (2016)
Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar
Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits. IEEE Trans. Computers 65 (12) (2016)
Anil Ömer Saritaç, Altug Karakurt, Cem Tekin
Online Contextual Influence Maximization in social networks. Allerton (2016)
Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI (2016)
Cong Shen, Cem Tekin, Mihaela van der Schaar
A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR (2016)
Nima Akbarzadeh, Cem Tekin
Gambler's Ruin Bandit Problem. CoRR (2016)
Nima Akbarzadeh, Cem Tekin
Gambler's Ruin Bandit Problem. Allerton (2016)
Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
Contextual learning for unit commitment with renewable energy sources. GlobalSIP (2016)
Linqi Song, Cem Tekin, Mihaela van der Schaar
Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. 9 (3) (2016)
Cong Shen, Cem Tekin, Mihaela van der Schaar
A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. IEEE J. Sel. Areas Commun. 34 (12) (2016)
Cem Tekin, Jonas Braun, Mihaela van der Schaar
eTutor: Online learning for personalized education. ICASSP (2015)
Cem Tekin, Onur Atan, Mihaela van der Schaar
Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis. IEEE Trans. Emerg. Top. Comput. 3 (2) (2015)
Cem Tekin, Mihaela van der Schaar
Staged Multi-armed Bandits. CoRR (2015)
Cem Tekin, Mihaela van der Schaar
Distributed Online Learning via Cooperative Contextual Bandits. IEEE Trans. Signal Process. 63 (14) (2015)
Cem Tekin, Mihaela van der Schaar
RELEAF: An Algorithm for Learning and Exploiting Relevance. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
A systematic learning method for optimal jamming. ICC (2015)
Onur Atan, Cem Tekin, Mihaela van der Schaar
Global Bandits. CoRR (2015)
Cem Tekin, Mihaela van der Schaar
RELEAF: An Algorithm for Learning and Exploiting Relevance. CoRR (2015)
Cem Tekin, Mihaela van der Schaar
Active Learning in Context-Driven Stream Mining With an Application to Image Mining. IEEE Trans. Image Process. 24 (11) (2015)
Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar
A data-driven approach for matching clinical expertise to individual cases. ICASSP (2015)
Onur Atan, Yiannis Andreopoulos, Cem Tekin, Mihaela van der Schaar
Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition. IEEE J. Sel. Top. Signal Process. 9 (1) (2015)
Cem Tekin, Mingyan Liu
Online Learning Methods for Networking. Found. Trends Netw. 8 (4) (2015)
Onur Atan, Cem Tekin, Mihaela van der Schaar
Global Multi-armed Bandits with Hölder Continuity. AISTATS (2015)
Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
Adaptive Ensemble Learning with Confidence Bounds. CoRR (2015)
Cem Tekin, Mihaela van der Schaar
Contextual Online Learning for Multimedia Content Aggregation. IEEE Trans. Multim. 17 (4) (2015)
Jie Xu, Cem Tekin, Simpson Zhang, Mihaela van der Schaar
Distributed Multi-Agent Online Learning Based on Global Feedback. IEEE Trans. Signal Process. 63 (9) (2015)
Cem Tekin, Mihaela van der Schaar
Contextual Online Learning for Multimedia Content Aggregation. CoRR (2015)
Onur Atan, Cem Tekin, Mihaela van der Schaar
Global Bandits with Holder Continuity. CoRR (2014)
Cem Tekin, Simpson Zhang, Mihaela van der Schaar
Distributed Online Learning in Social Recommender Systems. IEEE J. Sel. Top. Signal Process. 8 (4) (2014)
Linqi Song, Cem Tekin, Mihaela van der Schaar
Clustering based online learning in recommender systems: A bandit approach. ICASSP (2014)
Cem Tekin, Mihaela van der Schaar
eTutor: Online Learning for Personalized Education. CoRR (2014)
Cem Tekin, Luca Canzian, Mihaela van der Schaar
Context-adaptive big data stream mining. Allerton (2014)
Cem Tekin, Mihaela van der Schaar
Discovering, Learning and Exploiting Relevance. NIPS (2014)
Cem Tekin, Mihaela van der Schaar
An experts learning approach to mobile service offloading. Allerton (2014)
Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos
Bandit framework for systematic learning in wireless video-based face recognition. ICASSP (2014)
SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
Jamming Bandits. CoRR (2014)
Jie Xu, Cem Tekin, Mihaela van der Schaar
Learning optimal classifier chains for real-time big data mining. Allerton (2013)
Cem Tekin, Mihaela van der Schaar
Distributed Online Learning via Cooperative Contextual Bandits. CoRR (2013)
Cem Tekin, Mihaela van der Schaar
Distributed Online Big Data Classification Using Context Information. CoRR (2013)
Cem Tekin, Mihaela van der Schaar
Decentralized Online Big Data Classification - a Bandit Framework. CoRR (2013)
Cem Tekin, Mihaela van der Schaar
Distributed online Big Data classification using context information. Allerton (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cem Tekin