A Mixed Integer Programming Approach to Training Dense Neural Networks. (arXiv:2201.00723v1 [cs.LG])

Artificial Neural Networks (ANNs) are prevalent machine learning models that
have been applied across various real world classification tasks. ANNs require
a large amount of data to have strong out of sample performance, and many
algorithms for training ANN parameters are based on stochastic gradient descent
(SGD). However, the SGD ANNs that tend to perform best on prediction tasks are
trained in an end to end manner that requires a large number of model
parameters and random initialization. This means …

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