we could do is we could approximate this integral with you maximum a posteriori estimate of the Taos Pacific parameters Phi I and this is a fairly crude approximation but it but one thing interestingly that we can show is if you compute the map estimate basically gradient descent with early stopping corresponds to map inference under a Gaussian prior with mean theta and a variance that's a function of the number of gradient descent steps and the learning rate and this is exact in the in the linear case and approximate