Daniil Ryabko - RankMe

96 papers A* 6A 3B 21Journal 53Unranked 9

Year	Rank	Type	Title / Venue / Authors
2020	B	`conf`	Clustering piecewise stationary processes. ISIT Azadeh Khaleghi, Daniil Ryabko
2020	J	`jnl`	Time-Series Information and Unsupervised Learning of Representations. IEEE Trans. Inf. Theory Daniil Ryabko
2020	—	`book`	Universal Time-Series Forecasting with Mixture Predictors Daniil Ryabko
2020	J	`jnl`	Universal time-series forecasting with mixture predictors. CoRR Daniil Ryabko
2019	—	`book`	Asymptotic Nonparametric Statistical Analysis of Stationary Time Series Daniil Ryabko
2019	J	`jnl`	Asymptotic nonparametric statistical analysis of stationary time series. CoRR Daniil Ryabko
2019	J	`jnl`	Clustering piecewise stationary processes. CoRR Azadeh Khaleghi, Daniil Ryabko
2019	J	`jnl`	On Asymptotic and Finite-Time Optimality of Bayesian Predictors. J. Mach. Learn. Res. Daniil Ryabko
2018	J	`jnl`	Finite-time optimality of Bayesian predictors. CoRR Daniil Ryabko
2017	B	`conf`	Hypotheses testing on infinite random graphs. ALT Daniil Ryabko
2017	J	`jnl`	Hypotheses testing on infinite random graphs. CoRR Daniil Ryabko
2017	—	`conf`	Independence clustering (without a matrix). NIPS Daniil Ryabko
2017	J	`jnl`	Independence clustering (without a matrix). CoRR Daniil Ryabko
2017	B	`conf`	Universality of Bayesian mixture predictors. ALT Daniil Ryabko
2016	J	`jnl`	Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2016	J	`jnl`	Nonparametric multiple change point estimation in highly dependent time series. Theor. Comput. Sci. Azadeh Khaleghi, Daniil Ryabko
2016	B	`conf`	Things Bayes Can't Do. ALT Daniil Ryabko
2016	J	`jnl`	Things Bayes can't do. CoRR Daniil Ryabko
2016	J	`jnl`	Universality of Baysian mixture predictors. CoRR Daniil Ryabko
2015	A*	`conf`	Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning. ICML K. Lakshmanan, Ronald Ortner, Daniil Ryabko
2015	B	`conf`	Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible. ISIT Daniil Ryabko, Boris Ryabko
2015	J	`jnl`	Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible. CoRR Daniil Ryabko, Boris Ryabko
2015	B	`conf`	The replacement bootstrap for dependent data. ISIT Amir Sani, Alessandro Lazaric, Daniil Ryabko
2014	A*	`conf`	Asymptotically consistent estimation of the number of change points in highly dependent time series. ICML Azadeh Khaleghi, Daniil Ryabko
2014	J	`jnl`	Regret bounds for restless Markov bandits. Theor. Comput. Sci. Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2014	B	`conf`	Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. ALT Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko
2014	J	`jnl`	Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. CoRR Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko
2013	J	`jnl`	A binary-classification-based metric between time-series distributions and its use in statistical and learning problems. J. Mach. Learn. Res. Daniil Ryabko, Jérémie Mary
2013	J	`jnl`	A consistent clustering-based approach to estimating the number of change-points in highly dependent time-series CoRR Azadeh Khaleghi, Daniil Ryabko
2013	A	`conf`	Competing with an Infinite Set of Models in Reinforcement Learning. AISTATS Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, Ronald Ortner
2013	B	`conf`	Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series. ALT Azadeh Khaleghi, Daniil Ryabko
2013	J	`jnl`	Online Regret Bounds for Undiscounted Continuous Reinforcement Learning CoRR Ronald Ortner, Daniil Ryabko
2013	J	`jnl`	Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning CoRR Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko
2013	—	`conf`	Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning. ICML (1) Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko
2013	J	`jnl`	Selecting the State-Representation in Reinforcement Learning CoRR Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko
2013	B	`conf`	Time-series information and learning. ISIT Daniil Ryabko
2013	B	`conf`	Unsupervised Model-Free Representation Learning. ALT Daniil Ryabko
2013	J	`jnl`	Unsupervised model-free representation learning CoRR Daniil Ryabko
2012	—	`conf`	Locating Changes in Highly Dependent Data with Unknown Number of Change Points. NIPS Azadeh Khaleghi, Daniil Ryabko
2012	J	`jnl`	Multiple Change-Point Estimation in Stationary Ergodic Time-Series CoRR Azadeh Khaleghi, Daniil Ryabko
2012	A	`conf`	Online Clustering of Processes. AISTATS Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2012	—	`conf`	Online Regret Bounds for Undiscounted Continuous Reinforcement Learning. NIPS Ronald Ortner, Daniil Ryabko
2012	J	`jnl`	Reducing statistical time-series problems to binary classification CoRR Daniil Ryabko, Jérémie Mary
2012	—	`conf`	Reducing statistical time-series problems to binary classification. NIPS Daniil Ryabko, Jérémie Mary
2012	J	`jnl`	Regret Bounds for Restless Markov Bandits CoRR Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2012	B	`conf`	Regret Bounds for Restless Markov Bandits. ALT Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2011	B	`conf`	Confidence sets in time-series filtering. ISIT Boris Ryabko, Daniil Ryabko
2011	J	`jnl`	Constructing perfect steganographic systems. Inf. Comput. Boris Ryabko, Daniil Ryabko
2011	—	`book`	Learnability in Problems of Sequential Inference. (Apprenabilité dans les ProblèMES de l'inféRence SéQuentielle). Daniil Ryabko
2011	J	`jnl`	On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem. J. Mach. Learn. Res. Daniil Ryabko
2011	—	`conf`	Selecting the State-Representation in Reinforcement Learning. NIPS Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko
2010	J	`jnl`	Clustering processes CoRR Daniil Ryabko
2010	J	`jnl`	Clustering processes CoRR Daniil Ryabko
2010	A*	`conf`	Clustering processes. ICML Daniil Ryabko
2010	J	`jnl`	Confidence Sets in Time--Series Filtering CoRR Boris Ryabko, Daniil Ryabko
2010	J	`jnl`	Nonparametric statistical inference for ergodic processes. IEEE Trans. Inf. Theory Daniil Ryabko, Boris Ryabko
2010	J	`jnl`	On Finding Predictors for Arbitrary Families of Processes. J. Mach. Learn. Res. Daniil Ryabko
2010	A*	`conf`	Sequence Prediction in Realizable and Non-realizable Cases. COLT Daniil Ryabko
2010	J	`jnl`	Sequence prediction in realizable and non-realizable cases CoRR Daniil Ryabko
2009	J	`jnl`	A criterion for hypothesis testing for stationary processes CoRR Daniil Ryabko
2009	B	`conf`	An impossibility result for process discrimination. ISIT Daniil Ryabko
2009	J	`jnl`	Asymptotically optimal perfect steganographic systems. Probl. Inf. Transm. B. Ya. Ryabko, Daniil Ryabko
2009	J	`jnl`	Characterizing predictable classes of processes CoRR Daniil Ryabko
2009	A	`conf`	Characterizing predictable classes of processes. UAI Daniil Ryabko
2009	J	`jnl`	On Finding Predictors for Arbitrary Families of Processes CoRR Daniil Ryabko
2009	J	`jnl`	Using Kolmogorov Complexity for Understanding Some Limitations on Steganography CoRR Boris Ryabko, Daniil Ryabko
2009	B	`conf`	Using Kolmogorov complexity for understanding some limitations on steganography. ISIT Boris Ryabko, Daniil Ryabko
2009	J	`jnl`	Using data compressors to construct order tests for homogeneity and component independence. Appl. Math. Lett. Daniil Ryabko, Jürgen Schmidhuber
2009	A*	`conf`	Workshop summary: On-line learning with limited feedback. ICML Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári
2008	J	`jnl`	An impossibility result for process discrimination CoRR Daniil Ryabko
2008	J	`jnl`	Constructing Perfect Steganographic Systems CoRR Boris Ryabko, Daniil Ryabko
2008	B	`conf`	On hypotheses testing for ergodic processes. ITW Daniil Ryabko, Boris Ryabko
2008	J	`jnl`	On the Possibility of Learning in Reactive Environments with Arbitrary Dependence CoRR Daniil Ryabko, Marcus Hutter
2008	J	`jnl`	On the possibility of learning in reactive environments with arbitrary dependence. Theor. Comput. Sci. Daniil Ryabko, Marcus Hutter
2008	J	`jnl`	Predicting non-stationary processes. Appl. Math. Lett. Daniil Ryabko, Marcus Hutter
2008	—	`ed.`	Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers EWRL Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko
2008	B	`conf`	Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor. ALT Daniil Ryabko
2008	J	`jnl`	Testing Statistical Hypotheses About Ergodic Processes CoRR Daniil Ryabko, Boris Ryabko
2007	B	`conf`	Information-Theoretic Approach to Steganographic Systems. ISIT Boris Ryabko, Daniil Ryabko
2007	B	`conf`	On Sequence Prediction for Arbitrary Measures. ISIT Daniil Ryabko, Marcus Hutter
2007	J	`jnl`	Sample Complexity for Computational Classification Problems. Algorithmica Daniil Ryabko
2007	—	`conf`	Testing Component Independence Using Data Compressors. ICANN (2) Daniil Ryabko
2007	J	`jnl`	Using Data Compressors to Construct Rank Tests CoRR Daniil Ryabko, Jürgen Schmidhuber
2006	J	`jnl`	Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence CoRR Daniil Ryabko, Marcus Hutter
2006	B	`conf`	Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. ALT Daniil Ryabko, Marcus Hutter
2006	—	`conf`	Learning in Reactive Environments with Arbitrary Dependence. Kolmogorov Complexity and Applications Daniil Ryabko, Marcus Hutter
2006	J	`jnl`	On Sequence Prediction for Arbitrary Measures CoRR Daniil Ryabko, Marcus Hutter
2006	J	`jnl`	Pattern Recognition for Conditionally Independent Data. J. Mach. Learn. Res. Daniil Ryabko
2006	J	`jnl`	Provably Secure Universal Steganographic Systems CoRR Boris Ryabko, Daniil Ryabko
2006	J	`jnl`	Provably Secure Universal Steganographic Systems. IACR Cryptol. ePrint Arch. Boris Ryabko, Daniil Ryabko
2006	—	`conf`	Sequence prediction for non-stationary processes. Combinatorial and Algorithmic Foundations of Pattern and Association Discovery Daniil Ryabko, Marcus Hutter
2005	B	`conf`	On Computability of Pattern Recognition Problems. ALT Daniil Ryabko
2005	J	`jnl`	On sample complexity for computational pattern recognition CoRR Daniil Ryabko
2005	J	`jnl`	Pattern Recognition for Conditionally Independent Data CoRR Daniil Ryabko
2004	B	`conf`	Application of Classical Nonparametric Predictors to Learning Conditionally I.I.D. Data. ALT Daniil Ryabko
2004	A*	`conf`	Online learning of conditionally I.I.D. data. ICML Daniil Ryabko