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Weixin Yao

2 accepted papers

2023

Exponentially Convergent Algorithms for Supervised Matrix Factorization

NeurIPS 2023poster

Supervised matrix factorization (SMF) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a priori aligned objectives. Our goal is to use SMF to learn low-rank latent factors that offer interpretable, data-reconstruc…