Riemannian Constrained Optimization
Cross-source consensus on Riemannian Constrained Optimization from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Preparation
Comparisons
Highlighted claims
- RCO combines manifold operations with Gumbel straight-through estimation and budget-constrained dynamic programming. — Budget Constraints as Riemannian Manifolds
- RCO uses dynamic programming in the forward pass and a straight-through estimator in the backward pass. — Budget Constraints as Riemannian Manifolds
- The final assignment is computed by solving the same DP using log probabilities without noise or temperature. — Budget Constraints as Riemannian Manifolds
- The algorithm keeps discrete candidates budget-feasible while constraining the continuous logit distribution through projection and retraction. — Budget Constraints as Riemannian Manifolds
- RCO gains efficiency over evolutionary methods because it uses first-order information. — Budget Constraints as Riemannian Manifolds