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A new mixed integer programming-based estimator for sparse principal component analysis scales to 20,000 features while maintaining optimal statistical guarantees for estimation error and support recovery. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Sparse PCA: A new scalable estimator based on integer programming

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