| Online learning under delayed feedback P Joulani, A Gyorgy, C Szepesvári International Conference on Machine Learning, 1453-1461, 2013 | 325 | 2013 |
| Average age of information with hybrid ARQ under a resource constraint ET Ceran, D Gündüz, A György IEEE Transactions on Wireless Communications 18 (3), 1900-1913, 2019 | 273 | 2019 |
| Degenerate feedback loops in recommender systems R Jiang, S Chiappa, T Lattimore, A György, P Kohli Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 383-390, 2019 | 236 | 2019 |
| Online Markov decision processes under bandit feedback G Neu, A Antos, A György, C Szepesvári Advances in Neural Information Processing Systems 23, 2010 | 218 | 2010 |
| Detection of adversarial training examples in poisoning attacks through anomaly detection A Paudice, L Muñoz-González, A Gyorgy, EC Lupu arXiv preprint arXiv:1802.03041, 2018 | 175 | 2018 |
| The On-Line Shortest Path Problem Under Partial Monitoring. A György, T Linder, G Lugosi, G Ottucsák Journal of Machine Learning Research 8 (10), 2007 | 174 | 2007 |
| A reinforcement-learning approach to proactive caching in wireless networks SO Somuyiwa, A György, D Gündüz IEEE Journal on Selected Areas in Communications 36 (6), 1331-1344, 2018 | 131 | 2018 |
| Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 99 | 2019 |
| The adversarial stochastic shortest path problem with unknown transition probabilities G Neu, A Gyorgy, C Szepesvári Artificial Intelligence and Statistics, 805-813, 2012 | 95 | 2012 |
| On the structure of optimal entropy-constrained scalar quantizers A Gyorgy, T Linder IEEE transactions on information theory 48 (2), 416-427, 2002 | 92 | 2002 |
| Efficient multi-start strategies for local search algorithms A György, L Kocsis Journal of Artificial Intelligence Research 41, 407-444, 2011 | 91 | 2011 |
| Online learning in Markov decision processes with changing cost sequences T Dick, A Gyorgy, C Szepesvari International Conference on Machine Learning, 512-520, 2014 | 88 | 2014 |
| Optimal entropy-constrained scalar quantization of a uniform source A Gyorgy, T Linder IEEE Transactions on Information Theory 46 (7), 2704-2711, 2000 | 88 | 2000 |
| High-dimensional random geometric graphs and their clique number L Devroye, A György, G Lugosi, F Udina Electronic Journal of Probability 16, 2481-2508, 2011 | 83 | 2011 |
| The Online Loop-free Stochastic Shortest-Path Problem. G Neu, A György, C Szepesvári COLT 2010, 231-243, 2010 | 83 | 2010 |
| Efficient tracking of large classes of experts A Gyorgy, T Linder, G Lugosi IEEE Transactions on Information Theory 58 (11), 6709-6725, 2012 | 81 | 2012 |
| On the role of neural collapse in transfer learning T Galanti, A György, M Hutter arXiv preprint arXiv:2112.15121, 2021 | 72 | 2021 |
| A reinforcement learning approach to age of information in multi-user networks with HARQ ET Ceran, D Gündüz, A György IEEE Journal on Selected Areas in Communications 39 (5), 1412-1426, 2021 | 71 | 2021 |
| The best defense is a good offense: Adversarial attacks to avoid modulation detection MZ Hameed, A György, D Gündüz IEEE Transactions on Information Forensics and Security 16, 1074-1087, 2020 | 70 | 2020 |
| Reinforcement learning to minimize age of information with an energy harvesting sensor with HARQ and sensing cost ET Ceran, D Gündüz, A György IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 70 | 2019 |
