Asymptotic analysis of a matrix latent decomposition model

HIGHLIGHTS

  • who: Mantoux Clu00e9ment and colleagues from the (UNIVERSITY) have published the Article: Asymptotic Analysis of a Matrix Latent Decomposition Model, in the Journal: (JOURNAL)
  • what: The authors provide asymptotic convergence guarantees for the estimation of a hierarchical statistical model for matrix data sets. The authors show that this model is identifiable and that consistent Maximum A Posteriori (MAP) estimation can be performed to estimate the distribution of eigenvalues and eigenvectors. The authors provide an asymptotic analysis for a recently proposed network data set analysis model which, in terms of generative modeling, can be considered a . . .

     

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