Общедоступные статьи - Andras GyorgyПодробнее...
39 статей доступны в некоторых источниках
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
Финансирование: European Commission
Online Markov decision processes under bandit feedback
G Neu, A Antos, A György, C Szepesvári
Advances in Neural Information Processing Systems 23, 2010
Финансирование: Hungarian Scientific Research Fund
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
Финансирование: European Commission
The adversarial stochastic shortest path problem with unknown transition probabilities
G Neu, A Gyorgy, C Szepesvári
Artificial Intelligence and Statistics, 805-813, 2012
Финансирование: Hungarian Scientific Research Fund
Efficient multi-start strategies for local search algorithms
A György, L Kocsis
Journal of Artificial Intelligence Research 41, 407-444, 2011
Финансирование: Hungarian Scientific Research Fund
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
Финансирование: Hungarian Scientific Research Fund
Efficient tracking of large classes of experts
A Gyorgy, T Linder, G Lugosi
IEEE Transactions on Information Theory 58 (11), 6709-6725, 2012
Финансирование: Hungarian Scientific Research Fund, Government of Spain
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
Финансирование: UK Engineering and Physical Sciences Research Council, European Commission
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
Финансирование: European Commission
Delay-tolerant online convex optimization: Unified analysis and adaptive-gradient algorithms
P Joulani, A Gyorgy, C Szepesvári
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Финансирование: Natural Sciences and Engineering Research Council of Canada
A reinforcement learning approach to age of information in multi-user networks
ET Ceran, D Gündüz, A György
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile …, 2018
Финансирование: European Commission
Online learning with Gaussian payoffs and side observations
Y Wu, A György, C Szepesvári
Advances in Neural Information Processing Systems 28, 2015
Финансирование: Natural Sciences and Engineering Research Council of Canada
Early identification of peer-to-peer traffic
B Hullár, S Laki, A Gyorgy
2011 IEEE International Conference on Communications (ICC), 1-6, 2011
Финансирование: Hungarian Scientific Research Fund
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, and variational bounds
P Joulani, A György, C Szepesvári
International Conference on Algorithmic Learning Theory, 681-720, 2017
Финансирование: Natural Sciences and Engineering Research Council of Canada
Shifting regret, mirror descent, and matrices
A Gyorgy, C Szepesvári
International Conference on Machine Learning, 2943-2951, 2016
Финансирование: Natural Sciences and Engineering Research Council of Canada
Following the leader and fast rates in online linear prediction: Curved constraint sets and other regularities
R Huang, T Lattimore, A György, C Szepesvári
Journal of Machine Learning Research 18 (145), 1-31, 2017
Финансирование: Natural Sciences and Engineering Research Council of Canada
Following the leader and fast rates in linear prediction: Curved constraint sets and other regularities
R Huang, T Lattimore, A György, C Szepesvári
Advances in Neural Information Processing Systems 29, 2016
Финансирование: Natural Sciences and Engineering Research Council of Canada
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, variance reduction, and variational bounds
P Joulani, A György, C Szepesvári
Theoretical Computer Science 808, 108-138, 2020
Финансирование: Natural Sciences and Engineering Research Council of Canada
SDP relaxation with randomized rounding for energy disaggregation
K Shaloudegi, A György, C Szepesvári, W Xu
Advances in Neural Information Processing Systems 29, 2016
Финансирование: Natural Sciences and Engineering Research Council of Canada
Near-optimal rates for limited-delay universal lossy source coding
A Gyorgy, G Neu
IEEE transactions on information theory 60 (5), 2823-2834, 2014
Финансирование: Magyar Tudományos Akadémia, Hungarian Scientific Research Fund
Информация о публикациях и финансировании собрана автоматически.