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math.OC2022★ 8 cited
Sparse PCA With Multiple Components
Ryan Cory-Wright, Jean Pauphilet
Sparse Principal Component Analysis (sPCA) is a cardinal technique for obtaining combinations of features, or principal components (PCs), that explain the variance of high-dimensio…
math.OC2022
Decarbonizing OCP
Dimitris Bertsimas, Ryan Cory-Wright, Vassilis Digalakis
We present our collaboration with the OCP Group, one of the world's largest producers of phosphate and phosphate-based products, to reduce OCP's carbon emissions significantly. We…