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Ideal formulations for constrained convex optimization problems with indicator variables
Motivated by modern regression applications, in this paper, we study the convexification of a class of convex optimization problems with indicator variables and combinatorial constraints on the indicators.
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks
The optimal solution to this mathematical program is known to have desirable statistical properties under certain conditions.
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