A Warm up Example Sample Covariance and Mar Equation

Neural Information Processing Systems 

Results obtained by averaging over 50 runs. We start by introducing the following lemma. To prove Theorem 2, it indeed suffices to prove the following lemma. ' Q and depends on U Qy which, up to further simplifications, concludes the proof of Theorem 3. F or any > 0 and defined in (8), we have 1. Developing the inverse we obtain = " 1 Results obtained by averaging over 30 runs.

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