BeyondSmoothness: IncorporatingLow-Rank AnalysisintoNonparametricDensityEstimation

Neural Information Processing Systems 

Ouranalysis culminates inshowing thatthere exists a universally consistent histogram-style estimator that converges to any multi-view model with a finite number of Lipschitz continuous components at a rate of eO(1/3 n) in L1 error.

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