Publications

In preparation

1. O. Johnson, I. Kontoyiannis and M. Madiman: "Information, Estimation and Approximation for Poisson and related channels".

2. M. Harrison, I. Kontoyiannis, and M. Madiman: "A Minimum Description Length Proposal for Lossy Data Compression".

3. S. Bobkov and M. Madiman: "Reverse Brunn-Minkowski and reverse entropy power inequalities for convex measures".

4. A.D. Barbour, O. Johnson, I. Kontoyiannis and M. Madiman: "Compound Poisson approximation via local information quantities".

5. M. Madiman: "Determinant and trace inequalities for sums of positive-definite matrices".

6. M. Madiman, A. R. Barron, A. M. Kagan and T. Yu: "Fundamental statistical limits for distributed estimation: the case of a location parameter".

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Preprints

1. S. Bobkov and M. Madiman: "On the dispersion of the entropy per coordinate of a log-concave random vector". Preprint, 2009.

2. O. Johnson, I. Kontoyiannis and M. Madiman: "Log-concavity, ultra-log-concavity, and a maximum entropy property of compound Poisson measures". Preprint, 2009.

3. M. Madiman, A. Marcus and P. Tetali: "Entropy and set cardinality inequalities for partition-determined functions, with applications to sumsets". Preprint, 2008. (arXiv)

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Journal Publications

1. M. Madiman: "Cores of Cooperative Games in Information Theory". EURASIP Journal on Wireless Communications and Networking, Special issue on "Theory and Applications in Multiuser/Multiterminal Communications", no. 318704, 2008. (arXiv)

2. M. Madiman and P. Tetali: "Information inequalities for joint distributions, with interpretations and applications". IEEE Transactions on Information Theory, 2009, in press. (arXiv)

3. M. Madiman and A. R. Barron: " Generalized Entropy Power Inequalities and Monotonicity Properties of Information". IEEE Transactions on Information Theory, 53, no. 7, pp.2317-2329, July 2007. (arXiv)

4. I. Kontoyiannis and M. Madiman: " Measure concentration for compound Poisson distributions". Electronic Communications in Probability, 11, pp.45-57, 2006. (arXiv)

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Publications at Peer-reviewed Conferences

1. M. Madiman, A. Marcus and P. Tetali: "Information-theoretic Inequalities in Additive Combinatorics". Proceedings of the 2010 IEEE Information Theory Workshop, Cairo, Egypt, January 2010.

2. M. Madiman, O. Johnson and I. Kontoyiannis: "A Criterion for the Compound Poisson distribution to be Maximum Entropy". Proceedings of the 2009 IEEE International Symposium on Information Theory, Seoul, Korea, July 2009.

3. M. Madiman and F. Ghassemi: "The Entropy Power of a Sum is Fractionally Superadditive". Proceedings of the 2009 IEEE International Symposium on Information Theory, Seoul, Korea, July 2009.

4. M. Madiman, A. R. Barron, A. M. Kagan and T. Yu: "A model for pricing data bundles based on minimax risks for estimation of a location parameter". Proceedings of the 2009 IEEE Information Theory Workshop, Volos, Greece, June 2009.

5. M. Madiman: "Playing Games: A Fresh Look at Rate and Capacity Regions". Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, Canada, July 2008.

6. M. Madiman, A. R. Barron, A. M. Kagan and T. Yu: "Minimax risks for distributed estimation of the background in a field of noise sources". Proceedings of the 2nd International Workshop on Information Theory for Sensor Networks (WITS '08), Santorini Island, Greece, June 2008.

7. M. Madiman: "On the Entropy of Sums". Proceedings of the 2008 IEEE Information Theory Workshop, Porto, Portugal, May 2008.

8. M. Madiman and P. Tetali: " Sandwich Bounds for Joint Entropy". Proceedings of the 2007 IEEE International Symposium on Information Theory, Nice, France, July 2007.

9. M. Madiman, O. Johnson and I. Kontoyiannis: " Fisher Information, Compound Poisson approximation and the Poisson Channel". Proceedings of the 2007 IEEE International Symposium on Information Theory, Nice, France, July 2007.

10. M. Madiman and A. R. Barron: " The Monotonicity of Information in the Central Limit Theorem and Entropy Power Inequalities". Proceedings of the 2006 IEEE International Symposium on Information Theory, Seattle, Washington, July 2006.

11. M. Madiman and I. Kontoyiannis: " Concentration and Relative Entropy for Compound Poisson Distributions". Proceedings of the 2005 IEEE International Symposium on Information Theory, Adelaide, Australia, September 2005.

12. I. Kontoyiannis and M. Madiman: "Entropy, Compound Poisson Approximation, Log-Sobolev inequalities, and Measure Concentration". Proceedings of the 2004 IEEE Information Theory Workshop, San Antonio, Texas, October 2004.

13. M. Madiman, M. Harrison, I. Kontoyiannis: "Minimum Description Length vs. Maximum Likelihood in Lossy Data Compression". Proceedings of the 2004 IEEE International Symposium on Information Theory, Chicago, Illinois, June-July 2004.
                Additional resources:   The accompanying presentation.
                                                      The 1-page summary that was printed in the Proceedings.

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Theses and Unpublished Reports

1. O. Johnson, I. Kontoyiannis and M. Madiman: "On the entropy and log-concavity of compound Poisson measures". Preprint, 2008. (arXiv)

2. A. M. Kagan, T. Yu, A. R. Barron and M. Madiman: "Contribution to the theory of Pitman estimators". Preprint, 2008.

3. M. Madiman: "Topics in Information Theory, Probability and Statistics". Ph.D. thesis. Brown University, August 2005 [official date: May 2006].

4. M. Madiman and I. Kontoyiannis: "Second-order properties of lossy likelihoods and the MLE/MDL dichotomy in lossy compression". Brown University APPTS Report #04-5, May 2004 [Revised September 2005].

5. M. Madiman: "Singularities in Mechanisms". B.Tech. Thesis, Indian Institute of Technology-Bombay, 1999.

6. M. Madiman: "A Geometric Singular Perturbation Approach to the Stabilization of an Inverted Pendulum on a Cart". Unpublished Report, Brown University, December 2000.

7. M. Madiman: "Potential Formulations of Electromagnetism". B.Tech. Seminar Report, Indian Institute of Technology-Bombay, May 1998.

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