Regret bounds for restless Markov bandits R Ortner, D Ryabko, P Auer, R Munos Theoretical Computer Science 558, 62-76, 2014 | 134 | 2014 |
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning R Ortner, D Ryabko NIPS, 1772-1780, 2012 | 88 | 2012 |
Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux The Journal of Machine Learning Research 17 (1), 94-125, 2016 | 59 | 2016 |
Asymptotically optimal perfect steganographic systems BY Ryabko, DB Ryabko Problems of Information Transmission 45 (2), 184-190, 2009 | 49* | 2009 |
Selecting the state-representation in reinforcement learning OA Maillard, D Ryabko, R Munos Advances in Neural Information Processing Systems 24, 2011 | 45 | 2011 |
Improved regret bounds for undiscounted continuous reinforcement learning K Lakshmanan, R Ortner, D Ryabko International conference on machine learning, 524-532, 2015 | 44 | 2015 |
Nonparametric statistical inference for ergodic processes D Ryabko, B Ryabko Information Theory, IEEE Transactions on 56 (3), 1430-1435, 2010 | 44* | 2010 |
Clustering processes D Ryabko arXiv preprint arXiv:1004.5194, 2010 | 37 | 2010 |
Pattern recognition for conditionally independent data D Ryabko The Journal of Machine Learning Research 7, 645-664, 2006 | 35 | 2006 |
Discrimination between B-processes is impossible D Ryabko Journal of Theoretical Probability 23 (2), 565-575, 2010 | 34* | 2010 |
Online clustering of processes A Khaleghi, D Ryabko, J Mary, P Preux Artificial Intelligence and Statistics, 601-609, 2012 | 32 | 2012 |
Optimal regret bounds for selecting the state representation in reinforcement learning OA Maillard, P Nguyen, R Ortner, D Ryabko International Conference on Machine Learning, 543-551, 2013 | 31 | 2013 |
A binary-classification-based metric between time-series distributions and its use in statistical and learning problems D Ryabko, J Mary The Journal of Machine Learning Research 14 (1), 2837-2856, 2013 | 28* | 2013 |
On the possibility of learning in reactive environments with arbitrary dependence D Ryabko, M Hutter Theoretical Computer Science 405 (3), 274-284, 2008 | 28* | 2008 |
Selecting near-optimal approximate state representations in reinforcement learning R Ortner, OA Maillard, D Ryabko International Conference on Algorithmic Learning Theory, 140-154, 2014 | 27 | 2014 |
Testing composite hypotheses about discrete ergodic processes D Ryabko test 21 (2), 317-329, 2012 | 23* | 2012 |
Predicting non-stationary processes D Ryabko, M Hutter Applied Mathematics Letters 21 (5), 477-482, 2008 | 23* | 2008 |
Asymptotic nonparametric statistical analysis of stationary time series D Ryabko Springer International Publishing, 2019 | 21 | 2019 |
Constructing perfect steganographic systems B Ryabko, D Ryabko Information and Computation 209 (9), 1223-1230, 2011 | 21 | 2011 |
Locating changes in highly dependent data with unknown number of change points A Khaleghi, D Ryabko Advances in Neural Information Processing Systems 25, 2012 | 20 | 2012 |