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Sinkhorn algorithms for entropic vector quantile regression

Kato, Kengo et al.
arXiv (All) · Papers
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49q2262g0890c25optimization-and-controlstatistics-theory
Vector quantile regression (VQR) is an optimal transport (OT)-based framework that extends linear quantile regression to vector-valued response variables and can be formulated as an OT problem with a mean-independence constraint. In this paper, we study Sinkhorn-type algorithms for VQR with entropic
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