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We consider a set of probabilistic functions of some input variables as a representation of the inputs.
Information theoretical analysis of multivariate correlation
Satosi Watanabe · 1960
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Maximum likelihood from incomplete data via the em algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977
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Self-organization in a perceptual network
Ralph Linsker · 1988
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The multiinformation function as a tool for measuring stochastic dependence
M Studenỳ and J Vejnarova · 1998
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A view of the em algorithm that justifies incremental, sparse, and other variants
Radford M Neal and Geoffrey E Hinton · 1998
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The information bottleneck method
Naftali Tishby, Fernando C Pereira, and William Bialek · 2000
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Independent component analysis: algorithms and applications
Aapo Hyvärinen and Erkki Oja · 2000
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The information bottleneck: Theory and applications
Noam Slonim · 2002
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Synergy, redundancy, and independence in population codes
Elad Schneidman, William Bialek, and Michael J Berry · 2003
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Hierarchical clustering using mutual information
Alexander Kraskov, Harald Stögbauer, Ralph G Andrzejak, and Peter Grassberger · 2005
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Elements of information theory
Thomas M Cover and Joy A Thomas · 2006
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Multivariate information bottleneck
Noam Slonim, Nir Friedman, and Naftali Tishby · 2006
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The econometric modelling of financial time series
Terence C Mills and Raphael N Markellos · 2008
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Causality: Models, Reasoning and Inference
J. Pearl · 2009
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Nonnegative decomposition of multivariate information
P.L. Williams and R.D. Beer · 2010
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A survey on latent tree models and applications
Raphaël Mourad, Christine Sinoquet, Nevin L Zhang, Tengfei Liu, Philippe Leray, et al · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
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A framework for optimal high-level descriptions in science and engineering—preliminary report
David H Wolpert, Joshua A Grochow, Eric Libby, and Simon DeDeo · 2014
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Discovering structure in high-dimensional data through correlation explanation
Greg Ver Steeg and Aram Galstyan · 2014
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B. Steudel and N. Ay · 2010
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
Cited alongside, same era.
http://github.com/gregversteeg/CorEx
Open source project implementing correlation explanation
Cited in the paper.
Virgil Griffith and Christof Koch · 2014
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Demystifying information-theoretic clustering
Greg Ver Steeg, Aram Galstyan, Fei Sha, and Simon DeDeo · 2014
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Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly
Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, and Paul M. Thompson · 2015
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