Multi-Rank Sparse and Functional PCA Manifold Optimization and Iterative Deflation Techniques. - Michael Weylandt (CAMSAP, 2019)

Sparse and Functional Principal Components Analysis. - Genevera I. Allen; Michael Weylandt (DSW, 2019)

Splitting Methods For Convex Bi-Clustering And Co-Clustering. - Michael Weylandt (DSW, 2019)

Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. - Michael Weylandt; John Nagorski; Genevera I. Allen (CoRR, 2019)

Automatic Registration and Convex Clustering of Time Series. - Michael Weylandt; George Michailidis (CoRR, 2020)

Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. - Michael Weylandt; T. Mitchell Roddenberry; Genevera I. Allen (CoRR, 2020)

Automatic Registration and Clustering of Time Series. - Michael Weylandt; George Michailidis (ICASSP, 2021)

Sparse Partial Least Squares for Coarse Noisy Graph Alignment. - Michael Weylandt; George Michailidis; T. Mitchell Roddenberry (SSP, 2021)

Network Clustering for Latent State and Changepoint Detection. - Madeline Navarro; Genevera I. Allen; Michael Weylandt (CoRR, 2021)

A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. - Michael Weylandt; George Michailidis (CoRR, 2022)

To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. - Camille Olivia Little; Michael Weylandt; Genevera I. Allen (CoRR, 2022)

Optimal accuracy for linear sets of equations with the graph Laplacian. - Richard B. Lehoucq; Michael Weylandt; Jonathan W. Berry (CoRR, 2024)