Decision-Aware Learning for Optimizing Health Supply Chains. (arXiv:2211.08507v1 [cs.LG])

We study the problem of allocating limited supply of medical resources in
developing countries, in particular, Sierra Leone. We address this problem by
combining machine learning (to predict demand) with optimization (to optimize
allocations). A key challenge is the need to align the loss function used to
train the machine learning model with the decision loss associated with the
downstream optimization problem. Traditional solutions have limited flexibility
in the model architecture and scale poorly to large datasets. We propose a …

arxiv decision health supply chains