Po-Han Chen

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

Under a local Gaussian approximation, the divergence between the fine-tuned posterior and pretrained prior is bound by accumulated Fisher-weighted update costs, motivating curvature-aware selection in parameter groups based on temporal drift in their Fisher information.