Beating 1-1/e for Ordered Prophets
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Abstract (arXiv)
Hill and Kertz studied the prophet inequality on iid distributions [The Annals of Probability 1982]. They proved a theoretical bound of 1-frac1e on the approximation factor of their algorithm. They conjectured that the best approximation factor for arbitrarily large n is frac11+1/e ≈ 0.731. This conjecture remained open prior to this paper for over 30 years. In this paper we present a threshold-based algorithm for the prophet inequality with n iid distributions. Using a nontrivial and novel approach we show that our algorithm is a 0.738-approximation algorithm. By beating the bound of frac11+1/e, this refutes the conjecture of Hill and Kertz. Moreover, we generalize our results to non-iid distributions and discuss its applications in mechanism design.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 19 Apr 2017.
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- 2026Learning in Prophet Inequalities with Noisy Observationscited by 0
- 2026Learning in Prophet Inequalities with Noisy Observations2 Apr 2026