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A Unified View of Double-Weighting for Marginal Distribution Shift

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This repository is the official implementation of A Unified View of Double-Weighting for Marginal Distribution Shift.

The algorithms proposed in the paper provides efficient learning for the proposed Doble-Weighting for Marginal Distribution Shift. In particular, we present algorithms for multi-source covariate shift adaptation and single-source and multi-source label shift adaptation.

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A Unified View of Double-Weighting for Marginal Distribution Shift

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