Web: http://arxiv.org/abs/2202.03926

June 20, 2022, 1:11 a.m. | Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto

cs.LG updates on arXiv.org arxiv.org

The problem of learning functions over spaces of probabilities - or
distribution regression - is gaining significant interest in the machine
learning community. A key challenge behind this problem is to identify a
suitable representation capturing all relevant properties of the underlying
functional mapping. A principled approach to distribution regression is
provided by kernel mean embeddings, which lifts kernel-induced similarity on
the input domain at the probability level. This strategy effectively tackles
the two-stage sampling nature of the problem, enabling …

arxiv distribution ml regression

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