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cs.LG2023★ 1 cited
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection
Gaurav Srivastava, Mahesh Jangid
The complexity of high-dimensional datasets presents significant challenges for machine learning models, including overfitting, computational complexity, and difficulties in interp…
cs.LG2022★ 1 cited
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
Soumyabrata Pal, Prateek Varshney, Prateek Jain +5
Personalization of machine learning (ML) predictions for individual users/domains/enterprises is critical for practical recommendation systems. Standard personalization approaches…