Improved Algorithms for Convex-Concave Minimax Optimization
–Neural Information Processing Systems
Our bound achieves linear convergence rate and tighter dependency on condition numbers, especially when L_{\x\y}\ll L (i.e., the weak interaction regime). Via simple reduction, our new bound also implies improved bounds for strongly convex-concave problems and convex-concave problems.
Neural Information Processing Systems
Oct-9-2024, 22:14:17 GMT
- Technology: