Sp-GD recovers sparse max-affine parameters to epsilon accuracy with O(s log(d/s)) samples in the noise-free case under sub-Gaussian assumptions, supported by sparse-PCA initialization and an RMD transformation for generalized polynomials.
A convex integer programming approach for optimal sparse pca
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New MIP estimator for sparse PCA under spiked covariance model with statistical guarantees and custom solver scaling to 20,000 features.
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Sparse Max-Affine Regression
Sp-GD recovers sparse max-affine parameters to epsilon accuracy with O(s log(d/s)) samples in the noise-free case under sub-Gaussian assumptions, supported by sparse-PCA initialization and an RMD transformation for generalized polynomials.