A sufficiency-penalized model averaging transfer learning method that adaptively selects informative domains, with convergence rates, optimality, and asymptotic normality.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Sufficiency-principled Transfer Learning via Model Averaging
A sufficiency-penalized model averaging transfer learning method that adaptively selects informative domains, with convergence rates, optimality, and asymptotic normality.