| D ∈ {X, y}: dataset |
| f: model |
| nfolds: folds for K-fold partitioning |
| λ: enhancement step size |
| for k = 1 : nfolds do |
| Establish Dtr, Dheld-out |
| Train f |
| g ← ∇xA where A = L(f, x) or DF(f, x) |
| Xheld-out ← Xheld-out − λg |
| end for |
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