Robert Michael Weylandt

Journal Articles

Weylandt, M., & Swiler, L. P. (2024). Beyond PCA: Additional Dimension Reduction Techniques to Consider in the Development of Climate Fingerprints. Journal of Climate, 37(5). 1723--1735.

Lehoucq, R. B., Weylandt, M., & Berry, J. W. (2024). Optimal accuracy for linear sets of equations with the graph Laplacian. ArXiv Pre-Print 2405.07877,

(2022). Debiasing Projections for Fair Principal Components Analysis.

(2022). To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. ArXiv Pre-Print 2206.00074,

(2022). A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. ArXiv Pre-Print 2202.04719,

(2021). Ecological correlates of reproductive status in a guild of Afrotropical understory trees. BioRXiv Pre-Print,

(2021). HepatoScore14: Measures of Biological Heterogenity Significantly Improve Prediction of Hepatocellular Carcinoma Risk. Hepatology, 73(6). 2278-2292.

Weylandt, M., Nagorski, J., & Allen, G. I. (2020). Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. Journal of Computational and Graphical Statistics, 29(1). 87-96.

(2019). Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility. ArXiv Pre-Print 1907.10152,

Conference Proceedings

Weylandt, M., Roddenberry, T. M., & Allen, G. I. (2021). Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. DSLW 2021: Proceedings of the IEEE Data Science and Learning Workshop 2021.

Navarro, M., Allen, G. I., & Weylandt, M. (2021). Network Clustering for Latent State and Changepoint Detection. ArXiv Pre-Print 2111.01273.

Weylandt, M., Michailidis, G., & Roddenberry, T. M. (2021). Sparse Partial Least Squares for Coarse Noisy Graph Alignment. SSP 2021: Proceedings of the 2021 IEEE Statistical Signal Processing Workshop.

Weylandt, M., & Michailidis, G. (2021). Automatic Registration and Convex Clustering of Time Series. ICASSP 2021: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing.

Weylandt, M. (2019). Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques. CAMSAP 2019: Proceedings of the 8th IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing.

Weylandt, M. (2019). Splitting Methods For Convex Bi-Clustering And Co-Clustering. DSW 2019: Proceedings of the IEEE Data Science Workshop 2019.

Allen, G. I., & Weylandt, M. (2019). Sparse and Functional Principal Components Analysis. DSW 2019: Proceedings of the IEEE Data Science Workshop 2019.