A Algorithms

Neural Information Processing Systems 

Below we include detailed pseudocode for algorithms described in the main text.Algorithm 2 Parameter Free DeltaShift Input: Implicit matrix-vector multiplication access to A In this section, we give a full proof of Theorem 1.1 with the correct logarithmic dependence on Before doing so, we collect several definitions and results required for proving the theorem. As discussed, a tight analysis of Hutchinson's estimator, and also our DeltaShift algorithm, relies Finally, from Claim B.2, we immediately have Rademacher random vectors, a similar analysis can be performed for any i.i.d. Now, we are ready to move on to the main result. The proof is by induction. We claim that, for all j = 1,...,m, t Next consider the inductive case.

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