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Quantile loss
Roger Koenker has mentioned POGS as a good choice for solving large scale quantile regression problems. In one paper he mentions that he has ran some experiments with the GPU implementation of POGS.
How can one apply POGS to quantile regression? Were Koenker's experiments using an unpublished POGS implementation of quantile loss? Or is it possible to to define a quantile regression problem using the 16 available functions in prox_lib.sh
?
Otherwise, I'd love a bit of direction on how to implement quantile loss in POGS.