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• W571574196 abstract "We study independent component analysis with noisy observations. We present, for the first time in the literature, consistent, polynomial-time algorithms to recover non-Gaussian source signals and the mixing matrix with a reconstruction error that vanishes at a 1/√T rate using T observations and scales only polynomially with the natural parameters of the problem. Our algorithms and analysis also extend to deterministic source signals whose empirical distributions are approximately independent." @default.
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• W571574196 date "2015-07-06" @default.
• W571574196 modified "2023-09-23" @default.
• W571574196 title "Deterministic Independent Component Analysis" @default.
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