460 citations · 1k across the 14 of their papers we have counts for
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Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
Selin Bayramoğlu, George L Nemhauser, Nikolaos V Sahinidis
Machine learning is increasingly used to improve decisions within branch-and-bound algorithms for mixed-integer programming. Many existing approaches rely on deep learning, which o…
A Discussion on Practical Considerations with Sparse Regression Methodologies
Owais Sarwar, Benjamin Sauk, Nikolaos V. Sahinidis
Sparse linear regression is a vast field and there are many different algorithms available to build models. Two new papers published in Statistical Science study the comparative pe…
The ALAMO approach to machine learning
Zachary T. Wilson, Nikolaos V. Sahinidis
ALAMO is a computational methodology for leaning algebraic functions from data. Given a data set, the approach begins by building a low-complexity, linear model composed of explici…