Daniil Ryabko
18 papers · 2006–2019 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
πΊ
Lone Wolf
(7)
π
Keyword Champion
(4)
ποΈ
Keyword Collector
(77)
π
Century Club
(18)
π₯
Unstoppable
(8)
π
Conference Pioneer
Conferences
JMLR (6)
NIPS (5)
ICML (3)
AISTATS (2)
ALT (2)
Top co-authors
Research topics
Keywords
regret bound
(5)
time series analysis
(4)
reinforcement learning
(4)
ergodic process
(3)
online learning
(3)
stationary ergodic
(3)
asymptotic consistency
(3)
stochastic process
(2)
state representation
(2)
sequence prediction
(2)
change point detection
(2)
binary classification
(2)
unsupervised learning
(2)
optimal policy
(2)
statistical testing
(2)
markov decision process
(2)
metric learning
(2)
dependent data
(2)
model selection
(2)
minimax optimality
(2)
Papers
On Asymptotic and Finite-Time Optimality of Bayesian Predictors
JMLR 2019
Hypotheses testing on infinite random graphs
ALT 2017
Universality of Bayesian mixture predictors
ALT 2017
Independence clustering (without a matrix)
NIPS 2017
Consistent Algorithms for Clustering Time Series
JMLR 2016
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
ICML 2015
Asymptotically consistent estimation of the number of change points in highly dependent time series
ICML 2014
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
ICML 2013
Competing with an Infinite Set of Models in Reinforcement Learning
AISTATS 2013
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems
JMLR 2013
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
NIPS 2012
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
NIPS 2012
Online Clustering of Processes
AISTATS 2012
Reducing statistical time-series problems to binary classification
NIPS 2012
Selecting the State-Representation in Reinforcement Learning
NIPS 2011
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem
JMLR 2011
On Finding Predictors for Arbitrary Families of Processes
JMLR 2010
Pattern Recognition for Conditionally Independent Data
JMLR 2006