Web: http://arxiv.org/abs/2206.07203

June 16, 2022, 1:10 a.m. | Florian Peter Busch, Matej Zečević, Kristian Kersting, Devendra Singh Dhami

cs.LG updates on arXiv.org arxiv.org

Linear Programs (LPs) have been one of the building blocks in machine
learning and have championed recent strides in differentiable optimizers for
learning systems. While there exist solvers for even high-dimensional LPs,
understanding said high-dimensional solutions poses an orthogonal and
unresolved problem. We introduce an approach where we consider neural encodings
for LPs that justify the application of attribution methods from explainable
artificial intelligence (XAI) designed for neural learning systems. The several
encoding functions we propose take into account aspects …

arxiv lg linear networks neural neural networks

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