Constraint Handling
Cross-source consensus on Constraint Handling from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Risks & contraindications
Evidence quality
Highlighted claims
- Equality-manifold optimization maintained near-exact budget satisfaction in synthetic experiments. — Budget Constraints as Riemannian Manifolds
- The manifold projection removes the constraint-normal component of biased straight-through gradients but does not eliminate tangential bias. — Budget Constraints as Riemannian Manifolds
- The inequality-constrained extension adds a slack variable so unused budget can be absorbed. — Budget Constraints as Riemannian Manifolds
- The slack-variable method recovered the optimum when equality methods wasted budget on under-budget optima. — Budget Constraints as Riemannian Manifolds
- The slack-variable retraction is not globally smooth at the boundary where slack is zero. — Budget Constraints as Riemannian Manifolds