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GRAPE's gradient refinement stage monotonically minimizes local uncertainty and the progress-aware direction converges to true steepest descent as the posterior sharpens

Theoretical analysis proves that this gradient refinement stage monotonically minimizes local uncertainty and that the progress-aware direction converges to true steepest descent as the posterior sharpens
Machine Learning (Statistics)29 Aug 2026

http://arxiv.org/abs/2608.25116v1