FULL [LIST] OF PUBLICATIONS
SELECTED PUBLICATIONS & PREPRINTS:
PREPRINTS
●
L. Gavalakis, M.K. Goh and I.
Kontoyiannis. "Entropy lower bounds and sum-product phenomena."
Submitted. [arXiv]
● S. Horchidan, F. Zeiher, X. Shi, V. Kalavri, H. Boström, I. Kontoyiannis and P. Carbone.
"ConRAD: Conformal Risk-Aware Neural
Databases." Submitted. [arXiv]
● T. Viaud and I. Kontoyiannis. "The sample complexity of lossless
data compression." Submitted. [arXiv]
● I. Kontoyiannis. "Shakespeare, entropy and educated monkeys."
Submitted. [arXiv] [Interview] on this work with Facutli.net.
● L. Gavalakis and I. Kontoyiannis. "Conditions
for equality and stability in Shannon’s and Tao’s entropy power
inequalities." Submitted. [arXiv]
● C.K. Lauand, I. Kontoyiannis and S.P. Meyn.
"The case for and against fixed step-size: Stochastic approximation
algorithms in optimization and machine learning." Submitted. [arXiv]
●
V. Lungu, J. Shaska, I.
Kontoyiannis and U. Mitra. "Bayesian causal discovery: Posterior concentration
and optimal detection." Submitted. [arXiv]
●
P. Włodzimierz, E. Perez-Roman, M. Hong, M. Zhang, L. Oliveira, J. Gonzalez-Isa, K. Jenike, R. Burns, C. Zhou, S. Koppera,
M. Becker, N. Gorringe, P. Novak, Y. Mata-Sucre, I. Kontoyiannis, Darwin Tree
of Life Consortium, M. Blaxter, A. Marques, J. Macas,
R. Durbin, A. Bousios and I.R. Henderson.
"Cyclical evolution of centromere architecture across 193 eukaryote
species." Submitted. [ResearchSquare]
2024-PRESENT
●
A. Theocharous,
L. Gavalakis and I. Kontoyiannis. "Pragmatic
lossless compression: Fundamental limits and universality." To appear, IEEE
Trans. Information Theory, 2026. [arXiv]
●
V. Lungu, A. Dhir, M. van der
Wilk and I. Kontoyiannis, "The relative value of interventional and observational
samples in Bayesian Causal Linear Gaussian Models." 42nd Conference of
Uncertainty in Artificial Intelligence, Amsterdam, Netherlands, August
2026. [arXiv]
●
O. Johnson, L. Gavalakis and I. Kontoyiannis. "Finite de Finetti bounds in relative entropy." To appear in Information
Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew
Barron, (J. Klusowski, I. Kontoyiannis and C. Rush, editors), Springer,
2026. [arXiv]
●
V. Lungu, I. Papageorgiou and
I. Kontoyiannis. "Change-point detection and segmentation of discrete data
using Bayesian Context Trees." To appear in Information Theory,
Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron,
(J. Klusowski, I. Kontoyiannis and C. Rush, editors), Springer, 2026. [arXiv] Associated R package on CRAN [BCT]
●
J. Klusowski, I. Kontoyiannis
and C. Rush. "Editorial." To appear in Information Theory,
Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron,
Springer, 2026. [pdf]
●
I. Papageorgiou and I.
Kontoyiannis. "The Bayesian Context Trees State Space Model for time
series modelling and forecasting." International Journal of
Forecasting, 42, no. 2, pp. 474-491, April-June 2026. [arXiv]
●
R. Li, L. Gavalakis
and I. Kontoyiannis. "Entropic additive energy and entropy inequalities
for sums and products." IEEE Trans. Information Theory, 72,
no. 3, pp. 1553-1568, March 2026. [arXiv]
●
E.M. Loizidou,
A. Palaiokrassa, S. Assiedu,
A. Simistiras, P. Barbounakis,
S. Glentis, M. Anezaki,
K.V. Bergersen, I. Chatzimichalis, E. Kotsanopoulou, I. Kontoyiannis, N. Demiris,
P. Rouskas, N. Scarmeas, M.
Yannakoulia, M. Verykokakis,
M. Nair, K. Rouskas and A.S. Dimas. "Short-term
animal product dietary restriction alters metabolic profiles and modulates
immune function." Communications Medicine, 6,
no. 16, January 2026. [medRxiv]
●
O. Johnson, L. Gavalakis and I. Kontoyiannis. "Relative entropy
bounds for sampling with and without replacement." Journal of Applied
Probability, 62, no. 4, pp. 1578-1593, December 2025. [arXiv]
●
V. Borkar, S. Chen, A. Devraj,
I. Kontoyiannis and S.P. Meyn. "The ODE method for asymptotic statistics
in stochastic approximation and reinforcement learning." Annals of
Applied Probability, 35, no. 2, pp. 936-982, April 2025. [arXiv]
●
L. Gavalakis, I. Kontoyiannis
and M. Madiman. "The entropic doubling constant
and robustness of Gaussian codebooks for additive-noise channels." IEEE
Trans. Information Theory, 70, no. 12, pp. 8467-8477, December 2024.
[arXiv]
●
M.J. Chen, J. Gibson, I.
Kontoyiannis, Y. Liang, S.S. Pradhan, A. Winter, R. Zamir, R.E. Blahut, Y. Oohama, A.B. Wagner and R.W. Yeung. “Editorial: Data,
Physics, and Life Through the Lens of Information Theory.” IEEE
Journal on Selected Areas in Information Theory, Special issue dedicated to
the memory of Toby Berger, 5, pp. iv-xi, December 2024. [IEEExplore]
●
M. Tapia Costa, I.
Kontoyiannis and S. Godsill. "Generalised shot noise representations of
stochastic systems driven by non-Gaussian Lévy processes." Journal
of Applied Probability, 56, no. 4, pp. 1215-1250, December 2024. [arXiv]
●
I. Papageorgiou and I.
Kontoyiannis. "Posterior representations for Bayesian Context Trees:
Sampling, estimation and convergence." Bayesian Analysis, 19,
no. 2, pp. 501-529, June 2024. [arXiv]
●
M. Berta, L. Gavalakis and I. Kontoyiannis. "A third
information-theoretic approach to finite de Finetti
theorems." 2024 IEEE International Symposium on Information Theory,
Athens, Greece, July 2024. [arXiv]
●
V. Lungu and I. Kontoyiannis.
"Finite-sample expansions for the optimal error probability in asymmetric
binary hypothesis testing." arXiv manuscript,
2404.09605 [cs.IT], April 2024. [arXiv] Preliminary version appeared as “The optimal finite-sample error
probability in asymmetric binary hypothesis testing,” by V. Lungu and I.
Kontoyiannis, in the proceedings of the 2024 IEEE International Symposium on
Information Theory, Athens, Greece, July 2024.
●
L. Gavalakis
and I. Kontoyiannis. "Entropy and the discrete central limit
theorem." Stochastic Processes and Their Applications, 70,
104294, April 2024. [arXiv]
●
A. Theocharous,
G.G. Gregoriou, P. Sapountzis, and I. Kontoyiannis.
"Temporally causal discovery tests for discrete time series and neural
spike trains." IEEE Transactions on Signal Processing, 72,
pp. 1333-1347, February 2024. [arXiv]
●
I. Kontoyiannis.
"Context-tree weighting and Bayesian Context Trees: Asymptotic and
non-asymptotic justifications." IEEE Trans. Information Theory, 70,
no. 2, pp. 1204-1219, February 2024. [arXiv]
2021-2023
●
I. Papageorgiou and I.
Kontoyiannis. "Context-tree weighting for real-valued time series:
Bayesian inference with hierarchical mixture models." 2023 IEEE International
Symposium on Information Theory, Taipei, Taiwan, June 2023. [arXiv]
●
L. Gavalakis
and I. Kontoyiannis. "Information in probability: Another
information-theoretic proof of a finite de Finetti
theorem." In Mathematics Going Forward: Collected Mathematical
Brushstrokes, (J.-M. Morel, B. Teissier, editors), pp. 367-385, Lecture
Notes in Mathematics series, vol. 2313, Springer, Switzerland, May 2023. [arXiv]
●
I. Papageorgiou and I.
Kontoyiannis. "Truly Bayesian entropy estimation." 2023 IEEE
Information Theory Workshop,
●
I. Kontoyiannis, L. Mertzanis, A. Panotopoulou, I.
Papageorgiou and M. Skoularidou. "Bayesian
Context Trees: Modelling and exact inference for discrete time series." Journal of the Royal Statistical Society:
Series B, 84, no. 4, pp. 1287-1323, September 2022. [arXiv] Associated R package on CRAN [BCT]
●
L. Tray and I. Kontoyiannis.
"The feature-first block model." 36th International Workshop on
Statistical Modelling, Trieste, Italy July 2022. Longer version: [arXiv]
●
I. Kontoyiannis, Y.H. Lim, K. Papakonstantinopoulou and W. Szpankowski. "Compression
and symmetry of small-world graphs and structures." Communications in
Information and Systems, 22, no. 2, pp. 275-302, May
2022. [arXiv]
●
I. Papageorgiou, V.M. Lungu
and I. Kontoyiannis. R package BCT: "Bayesian Context Trees for Discrete Time Series." Version
1.2, May 2022, available on CRAN [BCT]
●
P. Barmpounakis,
N. Demiris, I. Kontoyiannis, G. Pavlakis and V. Sypsa. " Evaluating the effects of second-dose vaccine-delay
policies in European countries: A simulation study based on data from
Greece." PLoS ONE, 17(4):
e0263977, April 2022. [medRxiv]
●
L. Gavalakis
and I. Kontoyiannis. "An information-theoretic
proof of a finite de Finetti theorem." Electronic
Comm. in Probab., 26, paper 68, pp. 1-5,
December 2021. [arXiv]
●
T.B. Berrett, I. Kontoyiannis
and R.J. Samworth. "Optimal rates for
independence testing via U-statistic
permutation tests." Annals of Statistics, 49, no. 5, pp.
2457-2490, October 2021. [arXiv] Associated R package on CRAN [USP]
●
A.M. Devraj, I. Kontoyiannis and
S.P. Meyn. "Differential temporal
difference learning." To IEEE Trans. Automatic Control, 66,
no. 10, pp. 4652-4667 October 2021. [arXiv]
●
S. Diggavi, A. El Gamal, I.
Kontoyiannis, A. Paranjpe and M. Subbarao "Joy Thomas: Legacy, foundation
and the IT society." IEEE BITS the Information Theory Magazine, 1,
no. 1, pp. 85-88, August 2021. [IEEEXplore] [pdf]
●
L. Gavalakis
and I. Kontoyiannis. "Fundamental limits of lossless data compression with
side information." IEEE Trans. Information Theory, 67, no.
5, pp. 2680-2692, May 2021. [arXiv]
●
J. Taipale, I. Kontoyiannis
and S. Linnarsson. "Population-scale testing can suppress the spread of
infectious disease." arXiv manuscript,
2104.06857 [q-bio.PE], April 2021. [arXiv] Conference talk on YouTube [video] [slides]
2016-2020
●
I. Papageorgiou, V.M. Lungu
and I. Kontoyiannis. R package BCT: "Bayesian Context Trees for Discrete Time Series." Version
1.1, November 2020, available on CRAN [BCT]
●
T.B. Berrett, I. Kontoyiannis
and R.J. Samworth. R package USP: "U-Statistic Permutation Tests of Independence for all Data
Types." Version 1.0, November 2020, available on CRAN [USP]
●
R. Cavallari, S. Toumpis, R. Verdone and I. Kontoyiannis. "Packet speed
and cost in mobile wireless delay-tolerant networks." IEEE Trans.
Information Theory, 66, no. 9, pp. 5683-5702, September 2020. [arXiv]
●
M. Riabiz,
T. Ardeshiri, I. Kontoyiannis and S Godsill. "Nonasymptotic Gaussian approximation for inference with
stable noise." IEEE Trans. Information Theory, 66, no. 8,
pp. 4966-4991, August 2020. [arXiv]
●
D. Cheliotis,
I. Kontoyiannis, M. Loulakis and S. Toumpis. "A simple network of nodes moving on the
circle." Random Structures & Algorithms, 57, no. 2, pp.
317-338, July 2020. [arXiv]
●
L. Gavalakis
and I. Kontoyiannis. "Sharp second-order pointwise asymptotics
for lossless compression with side information." Entropy, 22,
no. 6, paper 705, June 2020. [arXiv]
●
A.M. Devraj, I. Kontoyiannis
and S.P. Meyn. "Geometric ergodicity in a weighted Sobolev space." Annals of Probability, 48,
no. 1, pp. 308-403, January 2020. [arXiv]
●
M. Madiman
and I. Kontoyiannis. "Entropy bounds on abelian groups and the Ruzsa
divergence." IEEE Trans. Information Theory, 64, no. 1, pp. 77-92, January 2018. [arXiv]
●
M. Riabiz,
T. Ardeshiri, I. Kontoyiannis and S Godsill.
"Simulated convergence rates with application to an intractable
alpha-stable inference problem." (invited paper) IEEE
International Workshop on Computational Advances in Multi-Sensor Adaptive
Processing,
Curaçao, Dutch Antilles, December 2017. [pdf]
●
I. Kontoyiannis and S.P. Meyn.
"Approximating a diffusion by a finite-state hidden Markov model." Stochastic
Processes and their Applications, 127, no. 8, pp. 2482-2507, August 2017. [pdf] [arXiv]
●
D. Cheliotis,
I. Kontoyiannis, M. Loulakis and S. Toumpis. "Exact speed and transmission cost in a
simple one-dimensional wireless delay-tolerant network." 2017 IEEE
International Symposium on Information Theory, Aachen, Germany, June 2017.
[pdf]
●
I. Kontoyiannis and S.P. Meyn.
"On the f-norm ergodicity of Markov processes in continuous
time." Electronic
Comm. in Probab., 21, paper 77, pp. 1-10, November
2016. [pdf] [arXiv]
● I. Kontoyiannis and M. Skoularidou.
"Estimating the directed information and testing for
causality." IEEE Trans. Information Theory, 62, no.
11, pp. 6053-6067,
November 2016. [arXiv]
2009-2015
●
Book: (in Greek) I. Kontoyiannis and S. Toumpis.
"Elements of
Probability: With Applications in Statistics and Computer Science."
Hellenic Academic Libraries Link, Ministry of Education, Athens, 2015. [Citation in Greek: Γ. Κοντογιάννης και Σ. Τουμπής. "Στοιχεία
πιθανοτήτων:
Με εφαρμογές
στη στατιστική
και την
πληροφορική". Σύνδεσμος
Ελληνικών
Ακαδημαϊκών
Βιβλιοθηκών, Αθήνα,
2015.] ISBN: 978-960-603-182-3 [Official
Page] [Latest
Version] [Searchable pdf without hyperlinks]
●
I. Kontoyiannis and M. Madiman. "Sumset and inverse
sumset inequalities for differential entropy and
mutual information." IEEE Trans. Information Theory, 60, no.
8, pp. 4503-4514, August 2014. [pdf]
●
I. Kontoyiannis and S.
Verdú. "Optimal lossless data compression: Non-asymptotics
and asymptotics." IEEE Trans. Information
Theory, 60, no. 2, pp. 777-795, February 2014. [pdf]
●
Y. Altuğ, I. Kontoyiannis
and A.B. Wagner. "Lossless compression with moderate error
probability." 2013 IEEE International Symposium on Information Theory,
Istanbul, Turkey, July 2013. [pdf]
●
O. Johnson, I. Kontoyiannis
and M. Madiman. "Log-concavity,
ultra-log-concavity and a maximum entropy property of discrete compound Poisson
measures." Discrete Applied
Mathematics (Special issue, Proceedings of the Jubilee Conference on
Discrete Mathematics JCDM 2009, D. J. Kleitman, A. Shastri, V. T. So's, eds.) 161,
no. 9, pp. 1232-1250, June 2013. [pdf] See also earlier version on the [arXiv]
●
C. Gioran
and I. Kontoyiannis. "Complexity-compression tradeoffs
in lossy compression via efficient random codebooks and databases." Problems of Information Transmission, 48,
Issue 4, pp. 376-394, October 2012. [pdf]
●
I. Kontoyiannis and S.P. Meyn.
"Geometric ergodicity and the spectral gap of non-reversible Markov
chains." Probability
Theory and Related Fields, 154,
Issue 1-2, pp. 327-339, October 2012. [pdf]
●
V. Anantharam,
G. Caire, M. Costa, I. Kontoyiannis, G. Kramer, R. Yeung, and S. Verdú.
"Panel on New Perspectives on
Information Theory." (Invited discussion.) IEEE Information Theory Society Newsletter, pp. 21-27, March 2012.
[pdf]
●
P. Dellaportas
and I. Kontoyiannis. "Control variates for estimation based on reversible
Markov chain Monte Carlo samplers." Journal
of the Royal Statistical Society: Series B, 74, Part 1, pp. 133-161, 2012. [pdf]
●
P. Harremoës,
O. Johnson and I. Kontoyiannis. "Thinning, entropy and the law of thin
numbers." IEEE Trans. Inform. Theory, 56, no. 9, pp. 4228-4244, September 2010. [pdf]
●
A.D. Barbour, O. Johnson, I.
Kontoyiannis and M. Madiman. "Compound Poisson
approximation via information functionals." Electronic J. of Probab., 15,
paper 42, pp. 1344-1368, August 2010. [pdf]
●
A. Anagnostopoulos, C. Dombry, N. Guillotin-Plantard, I.
Kontoyiannis and E. Upfal. "Probabilistic
analysis of the k-server problem on
the circle." Unpublishe manuscript, May 2010. [pdf]
●
P. Dellaportas
and I. Kontoyiannis. "Notes on using control variates for estimation with
reversible MCMC samplers." arXiv manuscript, 0907.4160 [stat.CO], July 2009. [arXiv]
2006-2008
●
S. Kyriazopoulou-Panagiotopoulou,
I. Kontoyiannis and S.P. Meyn. "Control variates as screening functions.
" Third International Conference on Performance Evaluation
Methodologies and Tools, Athens, Greece, October 2008. [pdf]
●
M. Harrison and I.
Kontoyiannis "Estimation of the rate-distortion function." IEEE
Trans. Inform. Theory, 54, pp. 3757-3763, August 2008. [pdf] See also the
longer version with additional results, details and proofs on the [arXiv]
●
I. Kontoyiannis. "Book
review: "Information and complexity in statistical modeling,"
by J. Rissanen, Springer, NY, 2007." Amer. Math. Monthly, 115,
no. 10, pp. 956-960, December 2008. [pdf] [pdf]
●
I. Kontoyiannis and S.P. Meyn.
"Computable exponential bounds for screened estimation and
simulation." Ann. Appl. Probab., 18,
pp. 1491-1518, August 2008. [pdf]
●
Y. Gao, I. Kontoyiannis and E.
Bienenstock. "Estimating the entropy of binary time series: Methodology,
some theory and a simulation study." Entropy, 10, issue 2, pp. 71-99,
June 2008. [pdf] [pdf]
●
I. Kontoyiannis. "Counting the primes using entropy." IEEE
Information Theory Society Newsletter, 58, no. 2, pp. 6-9, June
2008. [pdf] [pdf] Slides from a talk on this work at ITW 2008 in
Porto, May 2008. [pdf]
●
I. Kontoyiannis. "Some
information-theoretic computations related to the distribution of prime
numbers." In Festschrift in Honor of Jorma Rissanen, (P. Grunwald,
P. Myllymaki, I. Tabus, M. Weinberger, B. Yu, eds.),
pp. 135-143,
●
H.M. Aktulga,
I. Kontoyiannis,
●
P. Harremoës,
O. Johnson and I. Kontoyiannis. "Thinning and the law of small
numbers." 2007 IEEE International Symposium on Information Theory,
Nice, France, June 2007. [pdf]
●
M. Madiman,
O. Johnson and I. Kontoyiannis. "Fisher information, compound Poisson
approximation, and the Poisson channel." 2007 IEEE International
Symposium on Information Theory, Nice, France, June 2007. [pdf]
●
I. Kontoyiannis,
●
Y. Gao, I. Kontoyiannis and E.
Bienenstock. "From the entropy to the statistical structure of spike
trains." 2006 IEEE International Symposium on Information Theory,
●
I. Kontoyiannis and M. Madiman. "Measure concentration for compound Poisson
distributions." Electronic Comm. in Probab.,
11, paper 5, pp. 45-57, May 2006. [pdf]
●
I. Kontoyiannis and R. Zamir.
"Mismatched codebooks and the role of entropy-coding in lossy data
compression." IEEE Trans. Inform. Theory, 52, pp. 1922-1938,
May 2006. [pdf] [pdf]
2003-2005
●
I. Kontoyiannis,
●
I. Kontoyiannis and B. Lucena.
"Mutual information, synergy, and some curious phenomena for simple
channels." 2005 IEEE International Symposium on Information Theory,
●
B. Lucena and I. Kontoyiannis.
"Filtering: The case for "noisier" data." 2005 IEEE
Information Theory Workshop,
●
A. Anagnostopoulos, I.
Kontoyiannis and E. Upfal. "Steady state
analysis of balanced allocation routing." Random Structures &
Algorithms, 26, pp. 446-467, July 2005. [pdf]
●
I. Kontoyiannis and S.P. Meyn.
"Large deviations asymptotics and the spectral
theory of multiplicatively regular Markov processes." Electronic J. of Probab., 10, paper 3, pp. 61-123, February 2005.
[pdf] See also the slides from a
presentation on this work: [pdf]
●
I. Kontoyiannis, P. Harremoës and O. Johnson. "Entropy and the law of
small numbers." IEEE Trans. Inform. Theory, 51, pp. 466-472,
February 2005. [pdf] [pdf]
●
I. Kontoyiannis and M. Madiman. "Entropy, compound Poisson approximation,
log-Sobolev inequalities and measure concentration." 2004 IEEE
Information Theory Workshop,
●
M. Madiman,
M. Harrison and I. Kontoyiannis. "Minimum Description Length vs. Maximum
Likelihood in lossy data compression." 2004 IEEE International
Symposium on Information Theory,
●
Y. Gao, I. Kontoyiannis and E.
Bienenstock. "Estimating the entropy rate of spike trains." 38th
Annual Conference on Information Sciences and Systems,
●
Y. Gao, I. Kontoyiannis and E.
Bienenstock. "Lempel-Ziv and CTW entropy estimators for spike
trains." Invited paper, Estimation of entropy Workshop, 2003 Neural
Information Processing Systems Conference, Vancouver, BC, Canada, December
2003. [pdf]
●
I. Kontoyiannis. "Pattern
matching and lossy data compression on random fields." IEEE Trans.
Inform. Theory, 49, pp. 1047-1051, April 2003. [pdf]
●
I. Kontoyiannis and A.D.
Sezer. "A remark on unified error exponents: Hypothesis testing, data
compression and measure concentration." Barcelona Conference on
Stochastic Inequalities and Their Applications, Spain, 2002; published in Progress
in Probability, vol. 56, pp. 23-32, Birkhauser,
Basel/Switzerland, 2003. [pdf]
●
N. Merhav
and I. Kontoyiannis. "Source coding exponents for zero-delay coding with
finite memory." IEEE Trans. Inform. Theory, 49, pp. 609-625,
March 2003. [pdf]
●
I. Kontoyiannis and S.P. Meyn.
"Spectral theory and limit theorems for geometrically ergodic Markov
processes." Ann. Appl. Probab., 13,
pp. 304-362, February 2003. [pdf]
2000-2002
●
M. Harrison and I.
Kontoyiannis. "Maximum likelihood estimation for lossy data
compression" (invited paper). 40th Allerton Conference on
Communication, Control and Computing,
●
V. Castelli and I.
Kontoyiannis. "An efficient recursive partitioning algorithm for
classification, using wavelets." APPTS
Report
#02-7, Division of Applied Math,
●
J. Huang, I. Kontoyiannis and
S.P. Meyn. "The ODE method and spectral theory of Markov operators."
In Proceedings of Stochastic Theory and Control Workshop, Springer,
●
I. Kontoyiannis and J. Zhang.
"Arbitrary source models and Bayesian codebooks in rate-distortion
theory." IEEE Trans. Inform. Theory, 48, pp. 2276-2290,
August 2002. [pdf]
●
A. Dembo and I. Kontoyiannis.
"Source coding, large deviations, and approximate pattern matching."
Invited paper in IEEE Trans. Inform. Theory special issue on Shannon
theory, dedicated to Aaron D.
Wyner, 48, pp. 1590-1615, June 2002. [pdf]
●
A. Antos and I. Kontoyiannis.
"Convergence properties of functional estimates for discrete
distributions." Random Structures & Algorithms, 19, pp.
163-193. October 2001. [pdf]
●
J. Zhang, E.K.P. Chong and I.
Kontoyiannis. "Unified spatial diversity combining and power allocation
schemes for CDMA systems." IEEE J. on Selected Areas in Comm., 19,
pp. 1276-1288, July 2001. [pdf]
●
I. Kontoyiannis.
"Sphere-covering, measure concentration, and source coding." IEEE
Trans. Inform. Theory, 47, pp. 1544-1552, May 2001. [pdf] [pdf]
●
A. Dembo and I. Kontoyiannis.
"Critical behavior in lossy source coding."
IEEE Trans. Inform. Theory, 47, pp. 1230-1236, March 2001. [pdf] [pdf]
●
Patent: "Multiresolution
lossless/lossy compression and storage of data for efficient processing
thereof." With V. Castelli, J. Robinson and J.J. Turek. U.S. Patent No.
6,141,445. October 2000. [HTML]
●
I. Kontoyiannis. "Model selection
via rate-distortion theory" (invited paper). 34th Annual Conference on
Information Sciences and Systems, March 2000. [pdf]
●
Patent: "Multiresolution
lossless/lossy compression and storage of data for efficient processing
thereof." With V. Castelli, J. Robinson and J.J. Turek. U.S. Patent No.
6,021,224. February 2000. [HTML]
●
I. Kontoyiannis.
"Pointwise redundancy in lossy data compression and universal lossy data
compression." IEEE Trans. Inform. Theory, 46, pp. 136-152,
January 2000. [pdf]
1999 & EARLIER
●
I. Kontoyiannis. "An
implementable lossy version of the Lempel-Ziv algorithm -- Part I: Optimality
for memoryless sources." IEEE Trans. Inform. Theory, 45, pp.
2293-2305, November 1999. [pdf]
●
A. Dembo and I. Kontoyiannis.
"Critical behavior in data compression."
Technical Report no. TR-99-26, Department of Statistics,
●
I. Kontoyiannis.
"Efficient sphere-covering and converse measure concentration via
generalized coding theorems." Technical Report no. TR-99-26, Department of
Statistics,
●
A. Dembo and I. Kontoyiannis.
"The asymptotics of waiting times between
stationary processes, allowing distortion." Ann. Appl. Probab., 9, pp. 413-429, May 1999. [pdf]
●
I. Kontoyiannis.
"Asymptotic recurrence and waiting times for stationary processes." J.
Theoret. Probab., 11, pp. 795-811, July
1998. [pdf]
●
I. Kontoyiannis, P.H. Algoet, Yu. M. Suhov and A.J.
Wyner. "Nonparametric entropy estimation for stationary processes and
random fields, with applications to English text." IEEE Trans. Inform.
Theory, 44, pp. 1319-1327, May 1998. [pdf]
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