Check that the objective value is finite in the shared step
#212
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This PR adds a check after every gradient estimation step on whether the objective value is finite. If it is not, we will throw an error. This is necessary because parameter-space SGD is so robust that the algorithm runs even when everything has turned into
NaNs.