Efficient global optimization for exponential family PCA and low-rank matrix factorization

Abstract

We present an efficient global optimization algorithm for exponential family principal component analysis (PCA) and associated low-rank matrix factorization problems. Exponential family PCA has been shown to improve the results of standard PCA on non-Gaussian data. Unfortunately, the widespread use of exponential family PCA has been hampered by the… (More)

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