| Context-aware proactive content caching with service differentiation in wireless networks S Müller, O Atan, M van der Schaar, A Klein IEEE Transactions on Wireless Communications 16 (2), 1024 - 1036, 2017 | 169 | 2017 |
| Predicting grades Y Meier, J Xu, O Atan, M Van der Schaar IEEE Transactions on Signal Processing 64 (4), 959-972, 2015 | 96 | 2015 |
| Smart caching in wireless small cell networks via contextual multi-armed bandits S Müller, O Atan, M van der Schaar, A Klein 2016 IEEE International Conference on Communications (ICC), 1-7, 2016 | 43 | 2016 |
| Deep-treat: Learning optimal personalized treatments from observational data using neural networks O Atan, J Jordon, M van der Schaar AAAI Conference on Artificial Intelligence, 2071-2078, 2018 | 32 | 2018 |
| Discover the expert: Context-adaptive expert selection for medical diagnosis C Tekin, O Atan, M Van Der Schaar IEEE transactions on emerging topics in computing 3 (2), 220-234, 2014 | 31 | 2014 |
| Personalized grade prediction: A data mining approach Y Meier, J Xu, O Atan, M Van Der Schaar 2015 IEEE International Conference on Data Mining, 907-912, 2015 | 27 | 2015 |
| Global Multi-armed Bandits with Hölder Continuity O Atan, C Tekin, M van der Schaar Proceedings of the Eighteenth International Conference on Artificial …, 2015 | 23 | 2015 |
| Two birds with one network: Unifying failure event prediction and time-to-failure modeling K Aggarwal, O Atan, AK Farahat, C Zhang, K Ristovski, C Gupta 2018 IEEE International Conference on Big Data (Big Data), 1308-1317, 2018 | 16 | 2018 |
| Learning optimal policies from observational data O Atan, WR Zame, M van der Schaar arXiv preprint arXiv:1802.08679, 2018 | 14* | 2018 |
| Bandit framework for systematic learning in wireless video-based face recognition O Atan, I Andreopoulos, C Tekin, M van der Schaar IEEE Journal of Selected Topics in Signal Processing, 2014 | 13 | 2014 |
| Global bandits O Atan, C Tekin, M van der Schaar IEEE Transactions on Neural Networks and Learning Systems, 2018 | 11 | 2018 |
| Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features O Atan, WR Zame, Q Feng, M van der Schaar Machine learning, 2018 | 10 | 2018 |
| Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials O Atan, WR Zame, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018 | 9 | 2018 |
| Data-driven stream mining systems for computer vision SS Bhattacharyya, M van der Schaar, O Atan, C Tekin, K Sudusinghe Advances in Embedded Computer Vision, 249-264, 2014 | 4 | 2014 |
| Deep learning architecture for maintenance predictions with multiple modes K Ristovski, C Gupta, A Farahat, A Onur US Patent App. 15/884,986, 2019 | 3 | 2019 |
| Multi-Task Learning on Graphs with Node and Graph Level Labels C Holtz, O Atan, R Carey, T Jain Neurips Workshop on Graph Representation Learning, 2019 | 1 | 2019 |
| Data-Driven Online Decision Making with Costly Information Acquisition O Atan, M van der Schaar arXiv preprint arXiv:1602.03600, 2016 | 1 | 2016 |
| Structured Learning and Decision-Making for Medical Informatics O Atan UCLA, 2018 | | 2018 |
| A data-driven approach for matching clinical expertise to individual cases O Atan, W Hsu, C Tekin, M van der Schaar 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | | 2015 |
| Online Appendix for: Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks S Müller, O Atan, M van der Schaar, A Klein | | |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing Institute, UCLAVahvistettu sähköpostiosoite verkkotunnuksessa ee.ucla.edu
