A reluctant transfer learning method for penalized regressions adapts individualized treatment rules to shifted treatment-covariate relationships by selectively transferring coefficients and provides a regret bound.
1√ 2p−|S| Y s∈S ePms(Xs) fs(Xs) · 1√ 2p−|T| Y t∈T ePnt(Xt) ft(Xt) # (70) ∝E
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces a Riesz basis for explicit generalized functional ANOVA decomposition under input dependence and an associated data-driven estimation procedure.
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Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
A reluctant transfer learning method for penalized regressions adapts individualized treatment rules to shifted treatment-covariate relationships by selectively transferring coefficients and provides a regret bound.
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Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
Introduces a Riesz basis for explicit generalized functional ANOVA decomposition under input dependence and an associated data-driven estimation procedure.