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Cem Tekin
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2020 – today
- 2023
- [j35]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): 6368-6378 (2023) - [j34]Sepehr Elahi, Andi Nika, Cem Tekin:
Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization. IEEE Trans. Netw. Sci. Eng. 10(1): 305-320 (2023) - [c39]Çagin Ararat, Cem Tekin:
Vector Optimization with Stochastic Bandit Feedback. AISTATS 2023: 2165-2190 - [c38]Artun Saday, Yasar Cahit Yildirim, Cem Tekin:
Robust Bayesian Satisficing. NeurIPS 2023 - [i42]Artun Saday, Yasar Cahit Yildirim, Cem Tekin:
Robust Bayesian Satisficing. CoRR abs/2308.08291 (2023) - 2022
- [j33]Cem Tekin, Sepehr Elahi, Mihaela van der Schaar:
Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Trans. Serv. Comput. 15(4): 2144-2157 (2022) - [c37]Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin:
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. NeurIPS 2022 - [i41]Ilker Demirel, Yigit Yildirim, Cem Tekin:
Federated Multi-Armed Bandits Under Byzantine Attacks. CoRR abs/2205.04134 (2022) - [i40]Kerem Bozgan, Cem Tekin:
Robust Pareto Set Identification with Contaminated Bandit Feedback. CoRR abs/2206.02666 (2022) - 2021
- [j32]Alihan Hüyük, Cem Tekin:
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. 110(6): 1233-1266 (2021) - [j31]Muhammad Anjum Qureshi, Andi Nika, Cem Tekin:
Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. IEEE Trans. Commun. 69(6): 3726-3740 (2021) - [j30]Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin:
Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. IEEE Trans. Commun. 69(6): 3787-3801 (2021) - [j29]Eralp Turgay, Cem Bulucu, Cem Tekin:
Exploiting Relevance for Online Decision-Making in High-Dimensions. IEEE Trans. Signal Process. 69: 1438-1451 (2021) - [c36]Ilker Demirel, Cem Tekin:
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms. AISTATS 2021: 3844-3852 - [c35]Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar:
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR 2021 - [i39]Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR abs/2109.03747 (2021) - [i38]Andi Nika, Sepehr Elahi, Cem Tekin:
Contextual Combinatorial Volatile Bandits via Gaussian Processes. CoRR abs/2110.02248 (2021) - [i37]Çagin Ararat, Cem Tekin:
Vector Optimization with Stochastic Bandit Feedback. CoRR abs/2110.12311 (2021) - [i36]Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin:
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine. CoRR abs/2111.13415 (2021) - [i35]Sepehr Elahi, Baran Atalar, Sevda Ögüt, Cem Tekin:
Contextual Combinatorial Volatile Bandits with Satisfying via Gaussian Processes. CoRR abs/2111.14778 (2021) - [i34]Ilker Demirel, Mehmet Ufuk Ozdemir, Cem Tekin:
Safe Linear Leveling Bandits. CoRR abs/2112.06728 (2021) - 2020
- [j28]Muhammad Anjum Qureshi, Cem Tekin:
Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. IEEE Commun. Lett. 24(12): 2979-2983 (2020) - [j27]Muhammad Anjum Qureshi, Cem Tekin:
Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 95-110 (2020) - [j26]Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. 28(6): 2836-2849 (2020) - [c34]Andi Nika, Sepehr Elahi, Cem Tekin:
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. AISTATS 2020: 1486-1496 - [c33]Muhammad Anjum Qureshi, Cem Tekin:
Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. INFOCOM 2020: 1449-1458 - [i33]Andi Nika, Kerem Bozgan, Çagin Ararat, Cem Tekin:
Pareto Active Learning with Gaussian Processes and Adaptive Discretization. CoRR abs/2006.14061 (2020)
2010 – 2019
- 2019
- [j25]Anil Ömer Saritaç, Altug Karakurt, Cem Tekin:
Online Contextual Influence Maximization With Costly Observations. IEEE Trans. Signal Inf. Process. over Networks 5(2): 273-289 (2019) - [c32]Alihan Hüyük, Cem Tekin:
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS 2019: 1322-1330 - [c31]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: 15243-15252 - [i32]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 abs/1905.00569 (2019) - [i31]Eralp Turgay, Cem Bulucu, Cem Tekin:
Exploiting Relevance for Online Decision-Making in High-Dimensions. CoRR abs/1907.00783 (2019) - [i30]Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR abs/1907.04201 (2019) - [i29]Alihan Hüyük, Cem Tekin:
Lexicographic Multiarmed Bandit. CoRR abs/1907.11605 (2019) - 2018
- [j24]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): 218-232 (2018) - [j23]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): 688-702 (2018) - [j22]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5798-5811 (2018) - [j21]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): 61-72 (2018) - [j20]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): 1334-1347 (2018) - [j19]Cem Tekin, Eralp Turgay:
Multi-objective Contextual Multi-armed Bandit With a Dominant Objective. IEEE Trans. Signal Process. 66(14): 3799-3813 (2018) - [j18]Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar:
Online Learning in Limit Order Book Trade Execution. IEEE Trans. Signal Process. 66(17): 4626-4641 (2018) - [c30]Eralp Turgay, Doruk Öner, Cem Tekin:
Multi-objective Contextual Bandit Problem with Similarity Information. AISTATS 2018: 1673-1681 - [c29]Muhammad Anjum Qureshi, Cem Tekin:
Online cross-layer learning in heterogeneous cognitive radio networks without CSI. SIU 2018: 1-4 - [c28]Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin:
Risk-averse ambulance redeployment via multi-armed bandits. SIU 2018: 1-4 - [i28]Eralp Turgay, Doruk Öner, Cem Tekin:
Multi-objective Contextual Bandit Problem with Similarity Information. CoRR abs/1803.04015 (2018) - [i27]Doruk Öner, Altug Karakurt, Atilla Eryilmaz, Cem Tekin:
Combinatorial Multi-Objective Multi-Armed Bandit Problem. CoRR abs/1803.04039 (2018) - [i26]Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR abs/1809.02707 (2018) - 2017
- [j17]Cem Tekin, Mihaela van der Schaar:
Actionable intelligence and online learning for semantic computing. Encycl. Semantic Comput. Robotic Intell. 1(1): 1630011:1-1630011:8 (2017) - [j16]Cem Tekin, Jinsung Yoon, Mihaela van der Schaar:
Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. 65(4): 888-903 (2017) - [c27]Anil Ömer Saritaç, Cem Tekin:
Combinatorial multi-armed bandit problem with probabilistically triggered arms: A case with bounded regret. GlobalSIP 2017: 111-115 - [c26]Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar:
Online learning in limit order book trade execution. GlobalSIP 2017: 898-902 - [c25]Cem Tekin, Eralp Turgay:
Multi-Objective contextual bandits with a dominant objective. MLSP 2017: 1-6 - [c24]Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin:
Online classification with contextual exponential weights for disease diagnostics. SIU 2017: 1-4 - [c23]Umitcan Sahin, Veysel Yücesoy, Aykut Koç, Cem Tekin:
Learning traffic congestion by contextual bandit problems for optimum localization. SIU 2017: 1-4 - [i25]Sabrina Müller, Cem Tekin, Mihaela van der Schaar, Anja Klein:
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. CoRR abs/1705.03822 (2017) - [i24]Anil Ömer Saritaç, Cem Tekin:
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret. CoRR abs/1707.07443 (2017) - [i23]Cem Tekin, Eralp Turgay:
Multi-objective Contextual Multi-armed Bandit Problem with a Dominant Objective. CoRR abs/1708.05655 (2017) - 2016
- [j15]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): 3854-3868 (2016) - [j14]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): 3591-3605 (2016) - [j13]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. 9(3): 433-445 (2016) - [j12]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): 2792-2808 (2016) - [c22]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 - [c21]Anil Ömer Saritaç, Altug Karakurt, Cem Tekin:
Online Contextual Influence Maximization in social networks. Allerton 2016: 1204-1211 - [c20]Nima Akbarzadeh, Cem Tekin:
Gambler's Ruin Bandit Problem. Allerton 2016: 1236-1243 - [c19]Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee:
Contextual learning for unit commitment with renewable energy sources. GlobalSIP 2016: 866-870 - [i22]Nima Akbarzadeh, Cem Tekin:
Gambler's Ruin Bandit Problem. CoRR abs/1605.06651 (2016) - [i21]Cong Shen, Cem Tekin, Mihaela van der Schaar:
A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR abs/1608.07891 (2016) - 2015
- [j11]Cem Tekin, Mingyan Liu:
Online Learning Methods for Networking. Found. Trends Netw. 8(4): 281-409 (2015) - [j10]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): 180-194 (2015) - [j9]Cem Tekin, Mihaela van der Schaar:
RELEAF: An Algorithm for Learning and Exploiting Relevance. IEEE J. Sel. Top. Signal Process. 9(4): 716-727 (2015) - [j8]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): 220-234 (2015) - [j7]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): 3666-3679 (2015) - [j6]Cem Tekin, Mihaela van der Schaar:
Contextual Online Learning for Multimedia Content Aggregation. IEEE Trans. Multim. 17(4): 549-561 (2015) - [j5]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): 2225-2238 (2015) - [j4]Cem Tekin, Mihaela van der Schaar:
Distributed Online Learning via Cooperative Contextual Bandits. IEEE Trans. Signal Process. 63(14): 3700-3714 (2015) - [c18]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Multi-armed Bandits with Hölder Continuity. AISTATS 2015 - [c17]Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar:
A data-driven approach for matching clinical expertise to individual cases. ICASSP 2015: 2105-2109 - [c16]Cem Tekin, Jonas Braun, Mihaela van der Schaar:
eTutor: Online learning for personalized education. ICASSP 2015: 5545-5549 - [c15]SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer:
A systematic learning method for optimal jamming. ICC 2015: 2822-2827 - [i20]Cem Tekin, Mihaela van der Schaar:
RELEAF: An Algorithm for Learning and Exploiting Relevance. CoRR abs/1502.01418 (2015) - [i19]Cem Tekin, Mihaela van der Schaar:
Contextual Online Learning for Multimedia Content Aggregation. CoRR abs/1502.02125 (2015) - [i18]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits. CoRR abs/1503.08370 (2015) - [i17]Cem Tekin, Mihaela van der Schaar:
Staged Multi-armed Bandits. CoRR abs/1508.00641 (2015) - [i16]Cem Tekin, Jinsung Yoon, Mihaela van der Schaar:
Adaptive Ensemble Learning with Confidence Bounds. CoRR abs/1512.07446 (2015) - 2014
- [j3]Cem Tekin, Simpson Zhang, Mihaela van der Schaar:
Distributed Online Learning in Social Recommender Systems. IEEE J. Sel. Top. Signal Process. 8(4): 638-652 (2014) - [c14]Cem Tekin, Luca Canzian, Mihaela van der Schaar:
Context-adaptive big data stream mining. Allerton 2014: 483-490 - [c13]Cem Tekin, Mihaela van der Schaar:
An experts learning approach to mobile service offloading. Allerton 2014: 643-650 - [c12]Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos:
Bandit framework for systematic learning in wireless video-based face recognition. ICASSP 2014: 704-708 - [c11]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Clustering based online learning in recommender systems: A bandit approach. ICASSP 2014: 4528-4532 - [c10]Cem Tekin, Mihaela van der Schaar:
Discovering, Learning and Exploiting Relevance. NIPS 2014: 1233-1241 - [i15]Cem Tekin, Mihaela van der Schaar:
eTutor: Online Learning for Personalized Education. CoRR abs/1410.3617 (2014) - [i14]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits with Holder Continuity. CoRR abs/1410.7890 (2014) - [i13]SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer:
Jamming Bandits. CoRR abs/1411.3652 (2014) - 2013
- [c9]Jie Xu, Cem Tekin, Mihaela van der Schaar:
Learning optimal classifier chains for real-time big data mining. Allerton 2013: 512-519 - [c8]Cem Tekin, Mihaela van der Schaar:
Distributed online Big Data classification using context information. Allerton 2013: 1435-1442 - [i12]Cem Tekin, Mingyan Liu:
Online Learning in a Contract Selection Problem. CoRR abs/1305.3334 (2013) - [i11]Cem Tekin, Mihaela van der Schaar:
Distributed Online Big Data Classification Using Context Information. CoRR abs/1307.0781 (2013) - [i10]Cem Tekin, Mihaela van der Schaar:
Decentralized Online Big Data Classification - a Bandit Framework. CoRR abs/1308.4565 (2013) - [i9]Cem Tekin, Mihaela van der Schaar:
Distributed Online Learning via Cooperative Contextual Bandits. CoRR abs/1308.4568 (2013) - [i8]Cem Tekin, Simpson Zhang, Mihaela van der Schaar:
Distributed Online Learning in Social Recommender Systems. CoRR abs/1309.6707 (2013) - 2012
- [j2]Cem Tekin, Mingyan Liu:
Online Learning of Rested and Restless Bandits. IEEE Trans. Inf. Theory 58(8): 5588-5611 (2012) - [j1]Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang, Sahand Haji Ali Ahmad:
Atomic Congestion Games on Graphs and Their Applications in Networking. IEEE/ACM Trans. Netw. 20(5): 1541-1552 (2012) - [c7]Cem Tekin, Mingyan Liu:
Approximately optimal adaptive learning in opportunistic spectrum access. INFOCOM 2012: 1548-1556 - [c6]Cem Tekin, Mingyan Liu:
Online learning in decentralized multi-user spectrum access with synchronized explorations. MILCOM 2012: 1-6 - [i7]Cem Tekin, Mingyan Liu:
Online Learning in Decentralized Multiuser Resource Sharing Problems. CoRR abs/1210.5544 (2012) - 2011
- [c5]Cem Tekin, Mingyan Liu:
Adaptive learning of uncontrolled restless bandits with logarithmic regret. Allerton 2011: 983-990 - [c4]Cem Tekin, Mingyan Liu:
Performance and Convergence of Multi-user Online Learning. GAMENETS 2011: 321-336 - [c3]Cem Tekin, Mingyan Liu:
Online learning in opportunistic spectrum access: A restless bandit approach. INFOCOM 2011: 2462-2470 - [i6]Cem Tekin, Mingyan Liu:
Online Learning of Rested and Restless Bandits. CoRR abs/1102.3508 (2011) - [i5]Cem Tekin, Mingyan Liu:
Adaptive Learning of Uncontrolled Restless Bandits with Logarithmic Regret. CoRR abs/1107.4042 (2011) - [i4]Cem Tekin, Mingyan Liu:
Performance and Convergence of Multi-user Online Learning. CoRR abs/1107.4153 (2011) - 2010
- [c2]Cem Tekin, Mingyan Liu:
Online algorithms for the multi-armed bandit problem with Markovian rewards. Allerton 2010: 1675-1682 - [c1]Steven Hong, Eric C. Like, Zhiqiang Wu, Cem Tekin:
Multi-User Signal Classification via Spectral Correlation. CCNC 2010: 1-5 - [i3]Cem Tekin, Mingyan Liu:
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards. CoRR abs/1007.2238 (2010) - [i2]Cem Tekin, Mingyan Liu:
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach. CoRR abs/1010.0056 (2010) - [i1]Sahand Haji Ali Ahmad, Cem Tekin, Mingyan Liu, Richard Southwell, Jianwei Huang:
Spectrum Sharing as Spatial Congestion Games. CoRR abs/1011.5384 (2010)
Coauthor Index
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