Constructing all self-adjoint matrices with prescribed spectrum and diagonal. - Matthew Fickus; Dustin G. Mixon; Miriam J. Poteet; Nate Strawn (Adv. Comput. Math., 2013)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness. - Mauro Maggioni; Stanislav Minsker; Nate Strawn (J. Mach. Learn. Res., 2016)

Bayesian Graphical Models for Multivariate Functional Data. - Hongxiao Zhu; Nate Strawn; David B. Dunson (J. Mach. Learn. Res., 2016)

Topological and statistical behavior classifiers for tracking applications. - Paul Bendich; Sang Peter Chin; Jesse Clarke; Jonathan deSena; John Harer; Elizabeth Munch; Andrew Newman; David Porter; David Rouse; Nate Strawn; Adam Watkins (IEEE Trans. Aerosp. Electron. Syst., 2016)

Distributed Statistical Estimation and Rates of Convergence in Normal Approximation. - Stanislav Minsker; Nate Strawn (CoRR, 2017)

Connectivity and Irreducibility of Algebraic Varieties of Finite Unit Norm Tight Frames. - Jameson Cahill; Dustin G. Mixon; Nate Strawn (SIAM J. Appl. Algebra Geom., 2017)

Filament Plots for Data Visualization. - Nate Strawn (CoRR, 2021)

Numerical Approximation of Andrews Plots with Optimal Spatial-Spectral Smoothing. - Mitchell Rimerman; Nate Strawn (CoRR, 2023)

The Geometric Median and Applications to Robust Mean Estimation. - Stanislav Minsker; Nate Strawn (SIAM J. Math. Data Sci., 2024)