Michael Weylandt

14 papers Misc 1Journal 9Unranked 4

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