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Maximum entropy distributions with discrete support in $m$ dimensions arise in machine learning, statistics, information theory, and theoretical computer science.
Information theory and statistical mechanics
Edwin T. Jaynes · 1957
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Information theory and statistical mechanics. II
Edwin T. Jaynes · 1957
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Maximum entropy sampling
M. C. Shewry and H. P. Wynn · 1987
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Geometric algorithms and combinatorial optimization
Martin Grötschel, Lászlo Lovász, and Alexander Schrijver · 1988
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Gaussian kernels have only gaussian maximizers
Elliott H. Lieb · 1990
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Delta-matroids, jump systems, and bisubmodular polyhedra
André Bouchet and William H. Cunningham · 1995
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Anti-Hadamard matrices, coin weighing, threshold gates, and indecomposable hypergraphs
Noga Alon and Van H. Vu · 1997
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Hyperbolic polynomials and interior point methods for convex programming
Osman Güler · 1997
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Inducing features of random fields
Stephen Della Pietra, Vincent J. Della Pietra, and John D. Lafferty · 1997
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On a reverse form of the brascamp-lieb inequality
Franck Barthe · 1998
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Using maximum entropy for text classification
Kamal Nigam · 1999
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Principal information theoretic approaches
Ehsan S Soofi · 2000
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Stability and generalization
Olivier Bousquet and André Elisseeff · 2002
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Introductory lectures on convex optimization: A basic course
Yurii Nesterov · 2014
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Mohit Singh and Nisheeth K Vishnoi · 2014
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