Circumventing the Computational Hardness of Computational Arbitrage
This work formalizes computational arbitrage as an allocation problem and proves that it is generally NP-hard, but shows that the optimal allocation can be computed efficiently under a natural diminishing-returns condition on how model performance scales with inference spending.
Nastaran Okati, Ricardo Olmedo, Moritz Hardt
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