Minimax robust coding for channels with uncertainty statistics
IEEE Transactions on Information Theory
Elements of information theory
Elements of information theory
A game theoretic approach to problems in telecommunication
Management Science
A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Combinatorial auctions with decreasing marginal utilities
Proceedings of the 3rd ACM conference on Electronic Commerce
On maximizing welfare when utility functions are subadditive
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Information inequalities for joint distributions, with interpretations and applications
IEEE Transactions on Information Theory
A rate-splitting approach to the Gaussian multiple-access channel
IEEE Transactions on Information Theory
The Poisson multiple-access channel
IEEE Transactions on Information Theory
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Networked Slepian-Wolf: theory, algorithms, and scaling laws
IEEE Transactions on Information Theory
Low-Complexity Approaches to Slepian–Wolf Near-Lossless Distributed Data Compression
IEEE Transactions on Information Theory
Generalized Entropy Power Inequalities and Monotonicity Properties of Information
IEEE Transactions on Information Theory
The entropy power of a sum is fractionally superadditive
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Information inequalities for joint distributions, with interpretations and applications
IEEE Transactions on Information Theory
Federation of virtualized infrastructures: sharing the value of diversity
Proceedings of the 6th International COnference
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Cores of cooperative games are ubiquitous in information theory and arise most frequently in the characterization of fundamental limits in various scenarios involving multiple users. Examples include classical settings in network information theory such as Slepian-Wolf source coding and multiple access channels, classical settings in statistics such as robust hypothesis testing, and new settings at the intersection of networking and statistics such as distributed estimation problems for sensor networks. Cooperative game theory allows one to understand aspects of all these problems from a fresh and unifying perspective that treats users as players in a game, sometimes leading to new insights. At the heart of these analyses are fundamental dualities that have been long studied in the context of cooperative games; for information theoretic purposes, these are dualities between information inequalities on the one hand and properties of rate, capacity, or other resource allocation regions on the other.