The gradient of the loss with respect to logits is the prediction error: ∇zL= ˆy−y

= 0(57) Using the sub-multiplicativity of the matrix norm, the norm of the GGN term is bounded by: ∥G(θ)∥2 =∥J T HzJ∥ 2 ≤ ∥J∥ 2 2∥Hz∥2 (58) Assuming the Jacobian J is bounded in the local convergence region (i · 2048

1 Pith paper cite this work. Polarity classification is still indexing.

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