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stat.ML2026
Feature Normalization under Finite Training Budgets
Johan Larsson
Standardizing a rare feature can help stochastic gradient descent learn its effect within a finite budget, but it also changes the noise cost of learning. We characterize the lowes…
stat.ML2025
The Choice of Normalization Influences Shrinkage in Regularized Regression
Johan Larsson, Jonas Wallin
Regularized models are often sensitive to the scales of the features in the data and it has therefore become standard practice to normalize (center and scale) the features before f…