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Found 7 papers, 5 papers with code
A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming
The current cut selection algorithm used in mixed-integer programming solvers has remained largely unchanged since its creation.
Cutting Plane Selection with Analytic Centers and Multiregression
Cutting planes are a crucial component of state-of-the-art mixed-integer programming solvers, with the choice of which subset of cuts to add being vital for solver performance.
Convex mixed-integer optimization with Frank-Wolfe methods
These relaxations are solved with a Frank-Wolfe algorithm over the convex hull of mixed-integer feasible points instead of the continuous relaxation via calls to a mixed-integer linear solver as the linear oracle.
Flexible Differentiable Optimization via Model Transformations
We introduce DiffOpt. jl, a Julia library to differentiate through the solution of optimization problems with respect to arbitrary parameters present in the objective and/or constraints.
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
We study the effects of constrained optimization formulations and Frank-Wolfe algorithms for obtaining interpretable neural network predictions.
Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple Steps
Generalized self-concordance is a key property present in the objective function of many important learning problems.
A Bilevel Framework for Optimal Price-Setting of Time-and-Level-of-Use Tariffs
Power systems face higher flexibility requirements from generation to consumption due to an increasing injection of non-controllable distributed renewable generation.
Optimization and Control
