4 citations · 5 across the 5 of their papers we have counts for
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stat.ML2019
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques
Michael Weylandt
We consider the problem of estimating multiple principal components using the recently-proposed Sparse and Functional Principal Components Analysis (SFPCA) estimator. We first prop…
stat.ML2019
Splitting Methods for Convex Bi-Clustering and Co-Clustering
Michael Weylandt
Co-Clustering, the problem of simultaneously identifying clusters across multiple aspects of a data set, is a natural generalization of clustering to higher-order structured data.…
stat.ML2019
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization
Michael Weylandt, John Nagorski, Genevera I. Allen
Convex clustering is a promising new approach to the classical problem of clustering, combining strong performance in empirical studies with rigorous theoretical foundations. Despi…