SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE
SIAM PUBLICATIONS · US · Est. 2019
Aims & Scope✦ Inferred from recent articles
The journal focuses on theoretical and algorithmic aspects of data science, including statistical estimation, approximation theory, and machine learning. It addresses problems in data denoising, manifold learning, adversarial training of neural networks, and sparse regularization for inverse problems. The research emphasizes developing new theoretical understandings, robust algorithms, and efficient computational methods for analyzing and processing data.
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