FPRAS for approximating eigenvalues of graph Laplacians

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Is there a fully polynomial-time randomized approximation scheme (FPRAS) to approximate the eigenvalues (or even the largest one) of graph Laplacians?

By FPRAS, I mean the algorithm runs in time $\mbox{poly} \left( n, \frac{1}{\epsilon} \right)$ for an $\epsilon$-approximation.