c2368d3d45705a56e51ec5940e187f8d-Paper.pdf

Neural Information Processing Systems 

Specifically,weshowthatthebound is related to the perturbation/noise level and the recovery of the true support of the leading eigenvector as well. We also investigate the estimator of SGEP via imposing a non-convex regularization. Such estimator can achieve the optimal error rate and can recover the sparsity structure as well.

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