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Daniil Ryabko
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2020 – today
- 2020
- [b3]Daniil Ryabko:
Universal Time-Series Forecasting with Mixture Predictors. Springer Briefs in Computer Science, Springer 2020, ISBN 978-3-030-54303-7, pp. 1-82 - [j16]Daniil Ryabko
:
Time-Series Information and Unsupervised Learning of Representations. IEEE Trans. Inf. Theory 66(3): 1702-1713 (2020) - [c37]Azadeh Khaleghi
, Daniil Ryabko:
Clustering piecewise stationary processes. ISIT 2020: 2753-2758 - [i39]Daniil Ryabko:
Universal time-series forecasting with mixture predictors. CoRR abs/2010.00297 (2020)
2010 – 2019
- 2019
- [b2]Daniil Ryabko:
Asymptotic Nonparametric Statistical Analysis of Stationary Time Series. Springer Briefs in Computer Science, Springer 2019, ISBN 978-3-030-12563-9, pp. 1-74 - [j15]Daniil Ryabko:
On Asymptotic and Finite-Time Optimality of Bayesian Predictors. J. Mach. Learn. Res. 20: 149:1-149:24 (2019) - [i38]Daniil Ryabko:
Asymptotic nonparametric statistical analysis of stationary time series. CoRR abs/1904.00173 (2019) - [i37]Azadeh Khaleghi, Daniil Ryabko:
Clustering piecewise stationary processes. CoRR abs/1906.10921 (2019) - 2018
- [i36]Daniil Ryabko:
Finite-time optimality of Bayesian predictors. CoRR abs/1812.08292 (2018) - 2017
- [c36]Daniil Ryabko:
Universality of Bayesian mixture predictors. ALT 2017: 57-71 - [c35]Daniil Ryabko:
Hypotheses testing on infinite random graphs. ALT 2017: 400-411 - [c34]Daniil Ryabko:
Independence clustering (without a matrix). NIPS 2017: 4013-4023 - [i35]Daniil Ryabko:
Independence clustering (without a matrix). CoRR abs/1703.06700 (2017) - [i34]Daniil Ryabko:
Hypotheses testing on infinite random graphs. CoRR abs/1708.03131 (2017) - 2016
- [j14]Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux:
Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. 17: 3:1-3:32 (2016) - [j13]Azadeh Khaleghi
, Daniil Ryabko:
Nonparametric multiple change point estimation in highly dependent time series. Theor. Comput. Sci. 620: 119-133 (2016) - [c33]Daniil Ryabko:
Things Bayes Can't Do. ALT 2016: 253-260 - [i33]Daniil Ryabko:
Things Bayes can't do. CoRR abs/1610.08239 (2016) - [i32]Daniil Ryabko:
Universality of Baysian mixture predictors. CoRR abs/1610.08249 (2016) - 2015
- [c32]K. Lakshmanan, Ronald Ortner, Daniil Ryabko:
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning. ICML 2015: 524-532 - [c31]Amir Sani, Alessandro Lazaric, Daniil Ryabko:
The replacement bootstrap for dependent data. ISIT 2015: 1194-1198 - [c30]Daniil Ryabko, Boris Ryabko:
Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible. ISIT 2015: 1204-1206 - [i31]Daniil Ryabko, Boris Ryabko:
Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible. CoRR abs/1509.07776 (2015) - 2014
- [j12]Ronald Ortner
, Daniil Ryabko, Peter Auer
, Rémi Munos:
Regret bounds for restless Markov bandits. Theor. Comput. Sci. 558: 62-76 (2014) - [c29]Ronald Ortner
, Odalric-Ambrym Maillard, Daniil Ryabko:
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. ALT 2014: 140-154 - [c28]Azadeh Khaleghi, Daniil Ryabko:
Asymptotically consistent estimation of the number of change points in highly dependent time series. ICML 2014: 539-547 - [i30]Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko:
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. CoRR abs/1405.2652 (2014) - 2013
- [j11]Daniil Ryabko, Jérémie Mary:
A binary-classification-based metric between time-series distributions and its use in statistical and learning problems. J. Mach. Learn. Res. 14(1): 2837-2856 (2013) - [c27]Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, Ronald Ortner:
Competing with an Infinite Set of Models in Reinforcement Learning. AISTATS 2013: 463-471 - [c26]Daniil Ryabko:
Unsupervised Model-Free Representation Learning. ALT 2013: 354-366 - [c25]Azadeh Khaleghi
, Daniil Ryabko:
Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series. ALT 2013: 382-396 - [c24]Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko:
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning. ICML (1) 2013: 543-551 - [c23]Daniil Ryabko:
Time-series information and learning. ISIT 2013: 1392-1395 - [i29]Ronald Ortner, Daniil Ryabko:
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning. CoRR abs/1302.2550 (2013) - [i28]Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko:
Selecting the State-Representation in Reinforcement Learning. CoRR abs/1302.2552 (2013) - [i27]Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko:
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning. CoRR abs/1302.2553 (2013) - [i26]Azadeh Khaleghi, Daniil Ryabko:
A consistent clustering-based approach to estimating the number of change-points in highly dependent time-series. CoRR abs/1302.3407 (2013) - [i25]Daniil Ryabko:
Unsupervised model-free representation learning. CoRR abs/1304.4806 (2013) - 2012
- [c22]Ronald Ortner
, Daniil Ryabko, Peter Auer
, Rémi Munos:
Regret Bounds for Restless Markov Bandits. ALT 2012: 214-228 - [c21]Ronald Ortner, Daniil Ryabko:
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning. NIPS 2012: 1772-1780 - [c20]Daniil Ryabko, Jérémie Mary:
Reducing statistical time-series problems to binary classification. NIPS 2012: 2069-2077 - [c19]Azadeh Khaleghi, Daniil Ryabko:
Locating Changes in Highly Dependent Data with Unknown Number of Change Points. NIPS 2012: 3095-3103 - [c18]Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux:
Online Clustering of Processes. AISTATS 2012: 601-609 - [i24]Azadeh Khaleghi, Daniil Ryabko:
Multiple Change-Point Estimation in Stationary Ergodic Time-Series. CoRR abs/1203.1515 (2012) - [i23]Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos:
Regret Bounds for Restless Markov Bandits. CoRR abs/1209.2693 (2012) - [i22]Daniil Ryabko, Jérémie Mary:
Reducing statistical time-series problems to binary classification. CoRR abs/1210.6001 (2012) - 2011
- [b1]Daniil Ryabko:
Learnability in Problems of Sequential Inference. (Apprenabilité dans les ProblèMES de l'inféRence SéQuentielle). Lille University of Science and Technology, France, 2011 - [j10]Boris Ryabko, Daniil Ryabko:
Constructing perfect steganographic systems. Inf. Comput. 209(9): 1223-1230 (2011) - [j9]Daniil Ryabko:
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem. J. Mach. Learn. Res. 12: 2161-2180 (2011) - [c17]Boris Ryabko, Daniil Ryabko:
Confidence sets in time-series filtering. ISIT 2011: 2509-2511 - [c16]Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko:
Selecting the State-Representation in Reinforcement Learning. NIPS 2011: 2627-2635 - 2010
- [j8]Daniil Ryabko:
On Finding Predictors for Arbitrary Families of Processes. J. Mach. Learn. Res. 11: 581-602 (2010) - [j7]Daniil Ryabko, Boris Ryabko:
Nonparametric statistical inference for ergodic processes. IEEE Trans. Inf. Theory 56(3): 1430-1435 (2010) - [c15]Daniil Ryabko:
Sequence Prediction in Realizable and Non-realizable Cases. COLT 2010: 119-131 - [c14]Daniil Ryabko:
Clustering processes. ICML 2010: 919-926 - [i21]Daniil Ryabko:
Clustering processes. CoRR abs/1004.5194 (2010) - [i20]Daniil Ryabko:
Clustering processes. CoRR abs/1005.0826 (2010) - [i19]Daniil Ryabko:
Sequence prediction in realizable and non-realizable cases. CoRR abs/1005.5603 (2010) - [i18]Boris Ryabko, Daniil Ryabko:
Confidence Sets in Time--Series Filtering. CoRR abs/1012.3059 (2010)
2000 – 2009
- 2009
- [j6]Daniil Ryabko, Jürgen Schmidhuber:
Using data compressors to construct order tests for homogeneity and component independence. Appl. Math. Lett. 22(7): 1029-1032 (2009) - [j5]B. Ya. Ryabko, Daniil Ryabko:
Asymptotically optimal perfect steganographic systems. Probl. Inf. Transm. 45(2): 184-190 (2009) - [c13]Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári:
Workshop summary: On-line learning with limited feedback. ICML 2009: 8 - [c12]Daniil Ryabko:
An impossibility result for process discrimination. ISIT 2009: 1734-1738 - [c11]Boris Ryabko, Daniil Ryabko:
Using Kolmogorov complexity for understanding some limitations on steganography. ISIT 2009: 2733-2736 - [c10]Daniil Ryabko:
Characterizing predictable classes of processes. UAI 2009: 471-478 - [i17]Boris Ryabko, Daniil Ryabko:
Using Kolmogorov Complexity for Understanding Some Limitations on Steganography. CoRR abs/0901.4023 (2009) - [i16]Daniil Ryabko:
Characterizing predictable classes of processes. CoRR abs/0905.4341 (2009) - [i15]Daniil Ryabko:
A criterion for hypothesis testing for stationary processes. CoRR abs/0905.4937 (2009) - [i14]Daniil Ryabko:
On Finding Predictors for Arbitrary Families of Processes. CoRR abs/0912.4883 (2009) - 2008
- [j4]Daniil Ryabko, Marcus Hutter
:
Predicting non-stationary processes. Appl. Math. Lett. 21(5): 477-482 (2008) - [j3]Daniil Ryabko, Marcus Hutter
:
On the possibility of learning in reactive environments with arbitrary dependence. Theor. Comput. Sci. 405(3): 274-284 (2008) - [c9]Daniil Ryabko:
Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor. ALT 2008: 169-182 - [c8]Daniil Ryabko, Boris Ryabko:
On hypotheses testing for ergodic processes. ITW 2008: 281-283 - [e1]Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko:
Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers. Lecture Notes in Computer Science 5323, Springer 2008, ISBN 978-3-540-89721-7 [contents] - [i13]Daniil Ryabko, Boris Ryabko:
Testing Statistical Hypotheses About Ergodic Processes. CoRR abs/0804.0510 (2008) - [i12]Daniil Ryabko:
An impossibility result for process discrimination. CoRR abs/0809.1053 (2008) - [i11]Boris Ryabko, Daniil Ryabko:
Constructing Perfect Steganographic Systems. CoRR abs/0809.1593 (2008) - [i10]Daniil Ryabko, Marcus Hutter:
On the Possibility of Learning in Reactive Environments with Arbitrary Dependence. CoRR abs/0810.5636 (2008) - 2007
- [j2]Daniil Ryabko:
Sample Complexity for Computational Classification Problems. Algorithmica 49(1): 69-77 (2007) - [c7]Daniil Ryabko:
Testing Component Independence Using Data Compressors. ICANN (2) 2007: 808-815 - [c6]Daniil Ryabko, Marcus Hutter
:
On Sequence Prediction for Arbitrary Measures. ISIT 2007: 2346-2350 - [c5]Boris Ryabko, Daniil Ryabko:
Information-Theoretic Approach to Steganographic Systems. ISIT 2007: 2461-2464 - [i9]Daniil Ryabko, Jürgen Schmidhuber:
Using Data Compressors to Construct Rank Tests. CoRR abs/0709.0670 (2007) - 2006
- [j1]Daniil Ryabko:
Pattern Recognition for Conditionally Independent Data. J. Mach. Learn. Res. 7: 645-664 (2006) - [c4]Daniil Ryabko, Marcus Hutter
:
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. ALT 2006: 334-347 - [i8]Daniil Ryabko, Marcus Hutter:
Sequence prediction for non-stationary processes. Combinatorial and Algorithmic Foundations of Pattern and Association Discovery 2006 - [i7]Daniil Ryabko, Marcus Hutter:
Learning in Reactive Environments with Arbitrary Dependence. Kolmogorov Complexity and Applications 2006 - [i6]Daniil Ryabko, Marcus Hutter:
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. CoRR abs/cs/0603110 (2006) - [i5]Daniil Ryabko, Marcus Hutter:
On Sequence Prediction for Arbitrary Measures. CoRR abs/cs/0606077 (2006) - [i4]Boris Ryabko, Daniil Ryabko:
Provably Secure Universal Steganographic Systems. CoRR abs/cs/0606085 (2006) - [i3]Boris Ryabko, Daniil Ryabko:
Provably Secure Universal Steganographic Systems. IACR Cryptol. ePrint Arch. 2006: 63 (2006) - 2005
- [c3]Daniil Ryabko:
On Computability of Pattern Recognition Problems. ALT 2005: 148-156 - [i2]Daniil Ryabko:
On sample complexity for computational pattern recognition. CoRR abs/cs/0502074 (2005) - [i1]Daniil Ryabko:
Pattern Recognition for Conditionally Independent Data. CoRR abs/cs/0507040 (2005) - 2004
- [c2]Daniil Ryabko:
Application of Classical Nonparametric Predictors to Learning Conditionally I.I.D. Data. ALT 2004: 171-180 - [c1]Daniil Ryabko:
Online learning of conditionally I.I.D. data. ICML 2004
Coauthor Index
aka: B. Ya. Ryabko
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