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stat.ME2021
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Kayhan Behdin, Rahul Mazumder
We consider the Sparse Principal Component Analysis (SPCA) problem under the well-known spiked covariance model. Recent work has shown that the SPCA problem can be reformulated as…
stat.ML2021
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
Kayhan Behdin, Rahul Mazumder
We consider the problem of sparse nonnegative matrix factorization (NMF) using archetypal regularization. The goal is to represent a collection of data points as nonnegative linear…