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Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems. (arXiv:2305.14690v2 [cs.LG] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Distribution shift (DS) may have two levels: the distribution itself changes,
and the support (i.e., the set where the probability density is non-zero) also
changes. When considering the support change between the training and test
distributions, there can be four cases: (i) they exactly match; (ii) the
training support is wider (and thus covers the test support); (iii) the test
support is wider; (iv) they partially overlap. Existing methods are good at
cases (i) and (ii), while cases (iii) and …
arxiv cases change distribution importance match probability set shift solver support test training