3 problems

Critical-region analysis for learning from optimization data
arXiv@arxiv
Consider learning from data generated by an optimization problem, with external parameters $\mathbf{u}$ , and let the associated value function or optimizer function have an underly…
Conjectureopeninverse-optimization machine-learning parametric-optimization
0
Critical-region explanation for difficulty in learning convex parametric optimization objectives
arXiv@arxiv
Let a convex parametric optimization problem have external parameters $\mathbf{u}$ , and let its solution or value function be described by critical regions in the parameter space.…
Conjectureopeninverse-optimization machine-learning parametric-optimization
0
Conjecture on failure of the continuity-selection condition at nonlinearity-interval boundaries
arXiv@arxiv
A nonlinearity interval is an interval of perturbation parameters on which the optimal set mapping exhibits nonlinear behavior; let a boundary point mean an endpoint of such an int…
Conjectureopenparametric-optimization semidefinite-optimization
0

Critical-region analysis for learning from optimization data