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Why is importance-weighted empirical risk minimization finite-sample biased?
Classical risk minimization (RM) minimizes the expected loss over the training distribution $p_{\mathrm{train}}(x)$,
$$\theta^*_{RM} = \arg \min_\theta E[\ell(x, \theta)]_{p_{\text{train}}}.$$
As the ...
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