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About this paper

Nima Anari, Alireza Haqi, Eric Ma

The authors present a shared-randomness method for rounding fractional inputs into exactly k-item sets while preserving each item’s inclusion probability. The sampler reuses one random ordering and the same thresholds across inputs. For exact-k inputs, it bounds expected symmetric difference by 6 times their ℓ1 distance, provided a covariance-spectrum conjecture holds for every conditional distribution it reaches.

Summary by alphaXiv.

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