Web: http://arxiv.org/abs/2112.00552

June 20, 2022, 1:11 a.m. | Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

cs.LG updates on arXiv.org arxiv.org

In many real world applications of machine learning, models have to meet
certain domain-based requirements that can be expressed as constraints (e.g.,
safety-critical constraints in autonomous driving systems). Such constraints
are often handled by including them in a regularization term, while learning a
model. This approach, however, does not guarantee 100% satisfaction of the
constraints: it only reduces violations of the constraints on the training set
rather than ensuring that the predictions by the model will always adhere to
them. …

arxiv constraints learning lg models

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