Daniil Ryabko
Daniil Ryabko
Unknown affiliation
Verified email at ryabko.net - Homepage
Title
Cited by
Cited by
Year
Regret bounds for restless Markov bandits
R Ortner, D Ryabko, P Auer, R Munos
Theoretical Computer Science 558, 62-76, 2014
862014
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
R Ortner, D Ryabko
NIPS, 1772-1780, 2012
742012
Consistent algorithms for clustering time series
A Khaleghi, D Ryabko, J Mary, P Preux
Journal of Machine Learning Research 17 (3), 1-32, 2016
472016
Nonparametric statistical inference for ergodic processes
D Ryabko, B Ryabko
Information Theory, IEEE Transactions on 56 (3), 1430-1435, 2010
46*2010
Clustering processes
D Ryabko
arXiv preprint arXiv:1004.5194, 2010
412010
Asymptotically optimal perfect steganographic systems
BY Ryabko, DB Ryabko
Problems of Information Transmission 45 (2), 184-190, 2009
40*2009
Selecting the state-representation in reinforcement learning
OA Maillard, R Munos, D Ryabko
arXiv preprint arXiv:1302.2552, 2013
372013
Discrimination between B-processes is impossible
D Ryabko
Journal of Theoretical Probability 23 (2), 565-575, 2010
32*2010
Improved regret bounds for undiscounted continuous reinforcement learning
K Lakshmanan, R Ortner, D Ryabko
International Conference on Machine Learning, 524-532, 2015
292015
Online clustering of processes
A Khaleghi, D Ryabko, J Mary, P Preux
Artificial Intelligence and Statistics, 601-609, 2012
292012
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
272013
On the possibility of learning in reactive environments with arbitrary dependence
D Ryabko, M Hutter
Theoretical Computer Science 405 (3), 274-284, 2008
27*2008
Pattern recognition for conditionally independent data
D Ryabko
The Journal of Machine Learning Research 7, 645-664, 2006
26*2006
Selecting near-optimal approximate state representations in reinforcement learning
R Ortner, OA Maillard, D Ryabko
International Conference on Algorithmic Learning Theory, 140-154, 2014
232014
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
23*2013
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
Locating changes in highly dependent data with unknown number of change points
A Khaleghi, D Ryabko
Advances in Neural Information Processing Systems 25, 3086-3094, 2012
212012
Constructing perfect steganographic systems
B Ryabko, D Ryabko
Information and Computation 209 (9), 1223-1230, 2011
202011
Asymptotically consistent estimation of the number of change points in highly dependent time series
A Khaleghi, D Ryabko
International Conference on Machine Learning, 539-547, 2014
182014
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