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We present a new algorithm for Independent Component Analysis (ICA) which has provable performance guarantees.
The Advanced Theory of Statistics
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Unsupervised Learning of Distributions on Binary Vectors using Two Layer Networks
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Learning mixtures of Gaussians
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Independent component analysis: algorithms and applications
A. Hyvarinen, E. Oja · 2000
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Independent Component Analysis
A. Hyvarinen, J. Karhunen, E. Oja · 2001
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Robust blind source separation algorithms using cumulants,
S. Cruces, L. Castedo, A. Cichocki, · 2002
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Learning mixtures of separated nonspherical Gaussians
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Reducing the dimensionality of data with neural networks
G. Hinton, R. Salakhutdinov · 2006
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Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures,
L. De Lathauwer; J. Castaing; J.-F. Cardoso, · 2007
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Polynomial learning of distribution families
M. Belkin and K. Sinha · 2010
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Efficiently learning mixtures of two Gaussians
A. T. Kalai, A. Moitra, and G. Valiant · 2010
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Setting the polynomial learnability of mixtures of Gaussians
A. Moitra and G. Valiant · 2010
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A Practical Guide to Training Restricted Boltzmann Machines, Version 1,
G. E. Hinton · 2010
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Structure from local optima: learning subspace juntas via higher order PCA
S. Vempala, Y. Xiao · 2011
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