Ioannis Kontoyiannis

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 50

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ITW

Publications

Valentinian Lungu, Ioannis Kontoyiannis
Finite-sample expansions for the optimal error probability in asymmetric binary hypothesis testing. CoRR (2024)
Lampros Gavalakis, Oliver Johnson, Ioannis Kontoyiannis
Finite de Finetti bounds in relative entropy. CoRR (2024)
Ioannis Kontoyiannis
Context-Tree Weighting and Bayesian Context Trees: Asymptotic and Non-Asymptotic Justifications. IEEE Trans. Inf. Theory 70 (2) (2024)
Oliver Johnson, Lampros Gavalakis, Ioannis Kontoyiannis
Relative entropy bounds for sampling with and without replacement. CoRR (2024)
Andreas Theocharous, Georgia G. Gregoriou, Panagiotis Sapountzis, Ioannis Kontoyiannis
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains. IEEE Trans. Signal Process. 72 (2024)
Lampros Gavalakis, Ioannis Kontoyiannis, Mokshay Madiman
The entropic doubling constant and robustness of Gaussian codebooks for additive-noise channels. CoRR (2024)
Ioannis Papageorgiou, Ioannis Kontoyiannis
Truly Bayesian Entropy Estimation. ITW (2023)
Mario Berta, Lampros Gavalakis, Ioannis Kontoyiannis
A Third Information-Theoretic Approach to Finite de Finetti Theorems. CoRR (2023)
Ioannis Papageorgiou, Ioannis Kontoyiannis
Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models. ISIT (2023)
Ioannis Kontoyiannis
Time Series Analysis with Bayesian Context Trees: Classical Asymptotics and Finite-n Bounds. ISIT (2023)
Lampros Gavalakis, Ioannis Kontoyiannis
The Entropic Central Limit Theorem for Discrete Random Variables. ISIT (2022)
Ioannis Kontoyiannis
Context-tree weighting and Bayesian Context Trees: Asymptotic and non-asymptotic justifications. CoRR (2022)
Ioannis Papageorgiou, Ioannis Kontoyiannis
Posterior Representations for Bayesian Context Trees: Sampling, Estimation and Convergence. CoRR (2022)
Ioannis Papageorgiou, Ioannis Kontoyiannis
The Posterior Distribution of Bayesian Context-Tree Models: Theory and Applications. ISIT (2022)
Ioannis Kontoyiannis, Yi Heng Lim, Katia Papakonstantinopoulou, Wojciech Szpankowski
Compression and symmetry of small-world graphs and structures. Commun. Inf. Syst. 22 (2) (2022)
Valentinian Lungu, Ioannis Papageorgiou, Ioannis Kontoyiannis
Bayesian Change-Point Detection via Context-Tree Weighting. ITW (2022)
Ioannis Papageorgiou, Ioannis Kontoyiannis
Truly Bayesian Entropy Estimation. CoRR (2022)
Lampros Gavalakis, Ioannis Kontoyiannis
Information in probability: Another information-theoretic proof of a finite de Finetti theorem. CoRR (2022)
Lampros Gavalakis, Ioannis Kontoyiannis
Information-theoretic de Finetti-style theorems. ITW (2022)
Lampros Gavalakis, Ioannis Kontoyiannis
An Information-Theoretic Proof of a Finite de Finetti Theorem. CoRR (2021)
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
Differential Temporal Difference Learning. IEEE Trans. Autom. Control. 66 (10) (2021)
Lampros Gavalakis, Ioannis Kontoyiannis
Entropy and the Discrete Central Limit Theorem. CoRR (2021)
Lampros Gavalakis, Ioannis Kontoyiannis
Fundamental Limits of Lossless Data Compression With Side Information. IEEE Trans. Inf. Theory 67 (5) (2021)
Ioannis Papageorgiou, Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Maria Skoularidou
Revisiting Context-Tree Weighting for Bayesian Inference. ISIT (2021)
Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. CoRR (2021)
Ioannis Kontoyiannis, Y. H. Lim, Katia Papakonstantinopoulou, Wojciech Szpankowski
Symmetry and the Entropy of Small-World Structures and Graphs. ISIT (2021)
Ioannis Kontoyiannis, Lawrence Tray
Inferring community characteristics in labelled networks. CoRR (2021)
Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou
Bayesian Context Trees: Modelling and exact inference for discrete time series. CoRR (2020)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory 66 (8) (2020)
Ioannis Kontoyiannis, Yi Heng Lim, Katia Papakonstantinopoulou, Wojtek Szpankowski
Compression and Symmetry of Small-World Graphs and Structures. CoRR (2020)
Riccardo Cavallari, Stavros Toumpis, Roberto Verdone, Ioannis Kontoyiannis
Packet Speed and Cost in Mobile Wireless Delay-Tolerant Networks. IEEE Trans. Inf. Theory 66 (9) (2020)
Dimitris Cheliotis, Ioannis Kontoyiannis, Michail Loulakis, Stavros Toumpis
A simple network of nodes moving on the circle∗. Random Struct. Algorithms 57 (2) (2020)
Lampros Gavalakis, Ioannis Kontoyiannis
Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information. Entropy 22 (6) (2020)
Lampros Gavalakis, Ioannis Kontoyiannis
Lossless Data Compression with Side Information: Nonasymptotics and Dispersion. ISIT (2020)
Lampros Gavalakis, Ioannis Kontoyiannis
Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information. CoRR (2020)
Lampros Gavalakis, Ioannis Kontoyiannis
Fundamental Limits of Lossless Data Compression with Side Information. CoRR (2019)
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
The Lévy State Space Model. CoRR (2019)
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
The Lévy State Space Model. ACSSC (2019)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR (2018)
Lambros Mertzanis, Athina Panotopoulou, Maria Skoularidou, Ioannis Kontoyiannis
Deep Tree Models for 'Big' Biological Data. SPAWC (2018)
Ioannis Kontoyiannis, Stavros Toumpis, Riccardo Cavallari, Roberto Verdone
Asymptotics of the Packet Speed and Cost in a Mobile Wireless Network Model. ISIT (2018)
Riccardo Cavallari, Stavros Toumpis, Roberto Verdone, Ioannis Kontoyiannis
Analysis of Geographic/Delay-Tolerant Routing in Mobile Wireless Networks. CoRR (2018)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT (2018)
Dimitris Cheliotis, Ioannis Kontoyiannis, Michail Loulakis, Stavros Toumpis
Analysis of a One-Dimensional Continuous Delay-Tolerant Network Model. SPAWC (2018)
Mokshay M. Madiman, Ioannis Kontoyiannis
Entropy Bounds on Abelian Groups and the Ruzsa Divergence. IEEE Trans. Inf. Theory 64 (1) (2018)
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
Differential Temporal Difference Learning. CoRR (2018)
Dimitris Cheliotis, Ioannis Kontoyiannis, Michail Loulakis, Stavros Toumpis
A Simple Network of Nodes Moving on the Circle. CoRR (2018)
Dimitris Cheliotis, Ioannis Kontoyiannis, Michail Loulakis, Stavros Toumpis
Exact speed and transmission cost in a simple one-dimensional wireless delay-tolerant network. ISIT (2017)
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP (2017)
Ioannis Kontoyiannis, Maria Skoularidou
Estimating the Directed Information and Testing for Causality. IEEE Trans. Inf. Theory 62 (11) (2016)
Ioannis Kontoyiannis, Maria Skoularidou
Estimating the Directed Information and Testing for Causality. CoRR (2015)
Mokshay M. Madiman, Ioannis Kontoyiannis
The Ruzsa divergence for random elements in locally compact abelian groups. CoRR (2015)
Ioannis Kontoyiannis, Sergio Verdú
Optimal Lossless Data Compression: Non-Asymptotics and Asymptotics. IEEE Trans. Inf. Theory 60 (2) (2014)
Ioannis Kontoyiannis, Mokshay M. Madiman
Sumset and Inverse Sumset Inequalities for Differential Entropy and Mutual Information. IEEE Trans. Inf. Theory 60 (8) (2014)
Ioannis Kontoyiannis, Sergio Verdú
Optimal lossless compression: Source varentropy and dispersion. ISIT (2013)
Ioannis Kontoyiannis, Mokshay M. Madiman
The entropy of sums and Rusza's divergence on abelian groups. ITW (2013)
Oliver Johnson, Ioannis Kontoyiannis, Mokshay M. Madiman
Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures. Discret. Appl. Math. 161 (9) (2013)
Yucel Altug, Aaron B. Wagner, Ioannis Kontoyiannis
Lossless compression with moderate error probability. ISIT (2013)
Chris Gioran, Ioannis Kontoyiannis
Complexity-compression tradeoffs in lossy compression via efficient random codebooks and databases. Probl. Inf. Transm. 48 (4) (2012)
Ioannis Kontoyiannis, Mokshay M. Madiman
Sumset inequalities for differential entropy and mutual information. ISIT (2012)
Ioannis Kontoyiannis, Mokshay M. Madiman
Sumset and Inverse Sumset Inequalities for Differential Entropy and Mutual Information CoRR (2012)
Sergio Verdú, Ioannis Kontoyiannis
Lossless data compression rate: Asymptotics and non-asymptotics. CISS (2012)
Ioannis Kontoyiannis, Sergio Verdú
Lossless Data Compression at Finite Blocklengths CoRR (2012)
A. D. Barbour, Oliver Johnson, Ioannis Kontoyiannis, Mokshay M. Madiman
Compound Poisson Approximation via Information Functionals CoRR (2010)
Peter Harremoës, Oliver Johnson, Ioannis Kontoyiannis
Thinning, entropy, and the law of thin numbers. IEEE Trans. Inf. Theory 56 (9) (2010)
Mokshay M. Madiman, Ioannis Kontoyiannis
The entropies of the sum and the difference of two IID random variables are not too different. ISIT (2010)
Peter Harremoës, Oliver Johnson, Ioannis Kontoyiannis
Thinning, Entropy and the Law of Thin Numbers CoRR (2009)
Ioannis Kontoyiannis, Christos Gioran
Efficient random codebooks and databases for lossy compression in near-linear time. ITW (2009)
Oliver Johnson, Ioannis Kontoyiannis, Mokshay M. Madiman
Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures CoRR (2009)
Oliver Johnson, Ioannis Kontoyiannis, Mokshay M. Madiman
A criterion for the compound poisson distribution to be maximum entropy. ISIT (2009)
Chris Gioran, Ioannis Kontoyiannis
Lossy Compression in Near-Linear Time via Efficient Random Codebooks and Databases CoRR (2009)
Peter Harremoës, Oliver Johnson, Ioannis Kontoyiannis
Thinning and information projections. ISIT (2008)
Sofia Kyriazopoulou-Panagiotopoulou, Ioannis Kontoyiannis, Sean P. Meyn
Control variates as screening functions. VALUETOOLS (2008)
Ioannis Kontoyiannis
Information and Complexity in Statistical Modeling by Jorma Rissanen. Am. Math. Mon. 115 (10) (2008)
Matthew T. Harrison, Ioannis Kontoyiannis
Estimation of the Rate-Distortion Function. IEEE Trans. Inf. Theory 54 (8) (2008)
Oliver Johnson, Ioannis Kontoyiannis, Mokshay M. Madiman
On the entropy and log-concavity of compound Poisson measures CoRR (2008)
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
Estimating the Entropy of Binary Time Series: Methodology, Some Theory and a Simulation Study. Entropy 10 (2) (2008)
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
Estimating the entropy of binary time series: Methodology, some theory and a simulation study. CoRR (2008)
Ioannis Kontoyiannis
Counting the primes using entropy. ITW (2008)
Peter Harremoës, Oliver Johnson, Ioannis Kontoyiannis
Thinning and the Law of Small Numbers. ISIT (2007)
Mokshay M. Madiman, Oliver Johnson, Ioannis Kontoyiannis
Fisher Information, Compound Poisson Approximation, and the Poisson Channel. ISIT (2007)
Hasan Metin Aktulga, Ioannis Kontoyiannis, Leszek Alex Lyznik, Lukasz Szpankowski, Ananth Grama, Wojciech Szpankowski
Identifying Statistical Dependence in Genomic Sequences via Mutual Information Estimates. EURASIP J. Bioinform. Syst. Biol. 2007 (2007)
Hasan Metin Aktulga, Ioannis Kontoyiannis, Leszek Alex Lyznik, Lukasz Szpankowski, Ananth Grama, Wojciech Szpankowski
Identifying statistical dependence in genomic sequences via mutual information estimates CoRR (2007)
Hasan Metin Aktulga, Ioannis Kontoyiannis, Leszek Alex Lyznik, Lukasz Szpankowski, Ananth Y. Grama, Wojciech Szpankowski
Statistical Dependence in Biological Sequences. ISIT (2007)
Ioannis Kontoyiannis
Some information-theoretic computations related to the distribution of prime numbers CoRR (2007)
Matthew T. Harrison, Ioannis Kontoyiannis
Estimation of the Rate-Distortion Function CoRR (2007)
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
From the entropy to the statistical structure of spike trains CoRR (2007)
Ioannis Kontoyiannis, Ram Zamir
Mismatched codebooks and the role of entropy coding in lossy data compression. IEEE Trans. Inf. Theory 52 (5) (2006)
Ioannis Kontoyiannis, Luis Alfonso Lastras-Montaño, Sean P. Meyn
Exponential bounds and stopping rules for MCMC and general Markov chains. VALUETOOLS (2006)
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
From the Entropy to the Statistical Structure of Spike Trains. ISIT (2006)
Matthew T. Harrison, Ioannis Kontoyiannis
On Estimating the Rate-Distortion Function. ISIT (2006)
Ioannis Kontoyiannis
Entropy Estimation: Simulation, Theory and a Case Study. ITW (2006)
Aris Anagnostopoulos, Ioannis Kontoyiannis, Eli Upfal
Steady state analysis of balanced-allocation routing. Random Struct. Algorithms 26 (4) (2005)
Ioannis Kontoyiannis, Ram Zamir
Mismatched codebooks and the role of entropy-coding in lossy data compression CoRR (2005)
Ioannis Kontoyiannis, Peter Harremoës, Oliver Johnson
Entropy and the law of small numbers. IEEE Trans. Inf. Theory 51 (2) (2005)
Ioannis Kontoyiannis, Luis Alfonso Lastras-Montaño, Sean P. Meyn
Relative entropy and exponential deviation bounds for general Markov chains. ISIT (2005)
Mokshay Madiman, Ioannis Kontoyiannis
Concentration and relative entropy for compound Poisson distributions. ISIT (2005)
Brian Lucena, Ioannis Kontoyiannis
Filtering: the case for "noisier" data. ITW (2005)
Ioannis Kontoyiannis, Brian Lucena
Mutual information, synergy and some curious phenomena for simple channels. ISIT (2005)
Mokshay Madiman, Matthew T. Harrison, Ioannis Kontoyiannis
Minimum description length vs. maximum likelihood in lossy data compression. ISIT (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ioannis Kontoyiannis