13 citations · 29 across the 7 of their papers we have counts for
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cs.AI2021★ 1 cited
Interpretable Decision Trees Through MaxSAT
Josep Alos, Carlos Ansotegui, Eduard Torres
We present an approach to improve the accuracy-interpretability trade-off of Machine Learning (ML) Decision Trees (DTs). In particular, we apply Maximum Satisfiability technology t…
cs.LG2021
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
Carlos Ansotegui, Meinolf Sellmann, Tapan Shah +1
We consider black-box optimization in which only an extremely limited number of function evaluations, on the order of around 100, are affordable and the function evaluations must b…