High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
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![Table 1: Dependencies of the number of iterations n ε to get W 2 (δ x ⋆ R γ n ε ε , π) ≤ ε For simplicity, consider sequences (γ k ) k≥1 defined for all k ≥ 1 by γ k = γ 1 k −α , for γ 1 < 1/(m + L) and α ∈ (0, 1]](https://thumb-eu.123doks.com/thumbv2/123doknet/8026239.268981/9.892.135.770.162.323/table-dependencies-number-iterations-simplicity-consider-sequences-defined.webp)
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