Michael Weylandt

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Principal Components

Iterative Optimization

Top Venues

Publications

Richard B. Lehoucq, Michael Weylandt, Jonathan W. Berry
Optimal accuracy for linear sets of equations with the graph Laplacian. CoRR (2024)
Michael Weylandt, George Michailidis
A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. CoRR (2022)
Camille Olivia Little, Michael Weylandt, Genevera I. Allen
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. CoRR (2022)
Michael Weylandt, George Michailidis
Automatic Registration and Clustering of Time Series. ICASSP (2021)
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. SSP (2021)
Michael Weylandt, George Michailidis, T. Mitchell Roddenberry
Sparse Partial Least Squares for Coarse Noisy Graph Alignment. CoRR (2021)
Madeline Navarro, Genevera I. Allen, Michael Weylandt
Network Clustering for Latent State and Changepoint Detection. CoRR (2021)
Michael Weylandt, George Michailidis
Automatic Registration and Convex Clustering of Time Series. CoRR (2020)
Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. CoRR (2020)
Michael Weylandt, John Nagorski, Genevera I. Allen
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. CoRR (2019)
Genevera I. Allen, Michael Weylandt
Sparse and Functional Principal Components Analysis. DSW (2019)
Michael Weylandt
Multi-Rank Sparse and Functional PCA Manifold Optimization and Iterative Deflation Techniques. CAMSAP (2019)
Michael Weylandt
Splitting Methods For Convex Bi-Clustering And Co-Clustering. DSW (2019)
Michael Weylandt
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques. CoRR (2019)