question archive Imagine we are running stochastic gradient descent, and we determine the stopping criteria based on the validation set

Imagine we are running stochastic gradient descent, and we determine the stopping criteria based on the validation set

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Imagine we are running stochastic gradient descent, and we determine the stopping criteria based on the validation set. Suppose the stopping criteria is if the validation set error increases (i.e. stop SGD as soon as the validation set error starts increasing). Is this a good stopping criteria? If not, how would you fix it? 

 

 

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