Sharpened Fenchel-Young losses turn inverse problems over probability measures into convex problems with sample-complexity guarantees, instantiated for inverse UOT and JKO gradient flows.
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Learning from samples: inverse problems over measures
Sharpened Fenchel-Young losses turn inverse problems over probability measures into convex problems with sample-complexity guarantees, instantiated for inverse UOT and JKO gradient flows.