Rastrigin Benchmark
Cross-source consensus on Rastrigin Benchmark from 1 sources and 4 claims.
1 sources · 4 claims
Comparisons
Evidence quality
Highlighted claims
- The dimension-averaged Rastrigin table shows RMSProp far ahead of SHAPE on final gap, best gap, hit rate, and AUC gap. — When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
- RMSProp strongly outperformed SHAPE on high-dimensional separable Rastrigin. — When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
- Rastrigin is described as the strongest counterexample to SHAPE's empirical pattern. — When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize
- The Rastrigin results suggest coordinate-adaptive baselines remain strong on high-dimensional separable analytic landscapes. — When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize