| 2020 | ISIT | Clustering piecewise stationary processes. | Azadeh Khaleghi, Daniil Ryabko |
| 2017 | ALT | Universality of Bayesian mixture predictors. | Daniil Ryabko |
| 2017 | ALT | Hypotheses testing on infinite random graphs. | Daniil Ryabko |
| 2016 | ALT | Things Bayes Can't Do. | Daniil Ryabko |
| 2015 | ICML | Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning. | K. Lakshmanan, Ronald Ortner, Daniil Ryabko |
| 2015 | ISIT | Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible. | Daniil Ryabko, Boris Ryabko |
| 2015 | ISIT | The replacement bootstrap for dependent data. | Amir Sani, Alessandro Lazaric, Daniil Ryabko |
| 2014 | ALT | Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. | Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko |
| 2014 | ICML | Asymptotically consistent estimation of the number of change points in highly dependent time series. | Azadeh Khaleghi, Daniil Ryabko |
| 2013 | AISTATS | Competing with an Infinite Set of Models in Reinforcement Learning. | Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko, Ronald Ortner |
| 2013 | ALT | Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series. | Azadeh Khaleghi, Daniil Ryabko |
| 2013 | ALT | Unsupervised Model-Free Representation Learning. | Daniil Ryabko |
| 2013 | ICML | Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning. | Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko |
| 2013 | ISIT | Time-series information and learning. | Daniil Ryabko |
| 2012 | ALT | Regret Bounds for Restless Markov Bandits. | Ronald Ortner, Daniil Ryabko, Peter Auer, Rmi Munos |
| 2011 | ISIT | Confidence sets in time-series filtering. | Boris Ryabko, Daniil Ryabko |
| 2010 | COLT | Sequence Prediction in Realizable and Non-realizable Cases. | Daniil Ryabko |
| 2010 | ICML | Clustering processes. | Daniil Ryabko |
| 2009 | ICML | Workshop summary: On-line learning with limited feedback. | Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rmi Munos, Daniil Ryabko, Csaba Szepesvri |
| 2009 | ISIT | An impossibility result for process discrimination. | Daniil Ryabko |
| 2009 | ISIT | Using Kolmogorov complexity for understanding some limitations on steganography. | Boris Ryabko, Daniil Ryabko |
| 2009 | UAI | Characterizing predictable classes of processes. | Daniil Ryabko |
| 2008 | ALT | Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor. | Daniil Ryabko |
| 2008 | ITW | On hypotheses testing for ergodic processes. | Daniil Ryabko, Boris Ryabko |
| 2007 | ICANN | Testing Component Independence Using Data Compressors. | Daniil Ryabko |
| 2007 | ISIT | On Sequence Prediction for Arbitrary Measures. | Daniil Ryabko, Marcus Hutter |
| 2007 | ISIT | Information-Theoretic Approach to Steganographic Systems. | Boris Ryabko, Daniil Ryabko |
| 2006 | ALT | Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. | Daniil Ryabko, Marcus Hutter |
| 2005 | ALT | On Computability of Pattern Recognition Problems. | Daniil Ryabko |
| 2004 | ALT | Application of Classical Nonparametric Predictors to Learning Conditionally I.I.D. Data. | Daniil Ryabko |
| 2004 | ICML | Online learning of conditionally I.I.D. data. | Daniil Ryabko |