S-Adam modulates updates via an LGI-based damping term and proves almost-sure convergence to Clarke stationary points at O(1/sqrt(T)) while reporting accuracy gains on CIFAR-100 and TinyImageNet.
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Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
S-Adam modulates updates via an LGI-based damping term and proves almost-sure convergence to Clarke stationary points at O(1/sqrt(T)) while reporting accuracy gains on CIFAR-100 and TinyImageNet.