115 citations · 379 across the 31 of their papers we have counts for
3 papers · 1 filter
A Unified Framework for Sparse Relaxed Regularized Regression: SR3
Peng Zheng, Travis Askham, Steven L. Brunton +2
Regularized regression problems are ubiquitous in statistical modeling, signal processing, and machine learning. Sparse regression in particular has been instrumental in scientific…
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson, Peng Zheng, Krithika Manohar +3
Sparse principal component analysis (SPCA) has emerged as a powerful technique for modern data analysis, providing improved interpretation of low-rank structures by identifying loc…
Diffusion Maps meet Nyström
N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton +1
Diffusion maps are an emerging data-driven technique for non-linear dimensionality reduction, which are especially useful for the analysis of coherent structures and nonlinear embe…