Antonio Silveti-Falls

Differentiating Minimal-Norm Solutions to Parametric Optimization Problems

Differentiating through parametric optimization problems is central to bilevel programming and meta-learning, often accomplished using approximate implicit differentiation. The implicit function theorem requires inverting a partial Jacobian of the optimality condition, which fails when there are many solutions. Nonethe...