Optimal Single-Choice Prophet Inequalities from Samples

We study the single-choice Prophet Inequality problem when the gambler is given access to samples. We show that the optimal competitive ratio of $1/2$ can be achieved with a single sample from each distribution. When the distributions are identical, we show that for any constant $\varepsilon > 0$, $O(n)$ samples from the distribution suffice to achieve the optimal competitive ratio ($\approx 0.745$) within $(1+\varepsilon)$, resolving an open problem of Correa, Dutting, Fischer, and Schewior.

[1]  T. Hill,et al.  Comparisons of Stop Rule and Supremum Expectations of I.I.D. Random Variables , 1982 .

[2]  E. Samuel-Cahn Comparison of Threshold Stop Rules and Maximum for Independent Nonnegative Random Variables , 1984 .

[3]  R. P. Kertz Stop rule and supremum expectations of i.i.d. random variables: a complete comparison by conjugate duality , 1986 .

[4]  Shuchi Chawla,et al.  Multi-parameter mechanism design and sequential posted pricing , 2010, BQGT.

[5]  Saeed Alaei,et al.  Bayesian Combinatorial Auctions: Expanding Single Buyer Mechanisms to Many Buyers , 2011, 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science.

[6]  S. Matthew Weinberg,et al.  Matroid prophet inequalities , 2012, STOC '12.

[7]  S. Matthew Weinberg,et al.  Prophet Inequalities with Limited Information , 2013, SODA.

[8]  Martin Hoefer,et al.  Online Independent Set Beyond the Worst-Case: Secretaries, Prophets, and Periods , 2013, ICALP.

[9]  Aviad Rubinstein,et al.  Beyond matroids: secretary problem and prophet inequality with general constraints , 2016, STOC.

[10]  Ola Svensson,et al.  Online Contention Resolution Schemes , 2015, SODA.

[11]  Sahil Singla,et al.  Combinatorial Prophet Inequalities , 2016, SODA.

[12]  Paul Dütting,et al.  Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs , 2016, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

[13]  José R. Correa,et al.  Posted Price Mechanisms for a Random Stream of Customers , 2017, EC.

[14]  Mohammad Taghi Hajiaghayi,et al.  Beating 1-1/e for ordered prophets , 2017, STOC.

[15]  Mohammad Taghi Hajiaghayi,et al.  Prophet Secretary , 2015, ESA.

[16]  Mohammad Taghi Hajiaghayi,et al.  Prophet Secretary for Combinatorial Auctions and Matroids , 2017, SODA.

[17]  Haim Kaplan,et al.  Prophet Secretary: Surpassing the 1-1/e Barrier , 2017, EC.

[18]  Marek Adamczyk,et al.  Random Order Contention Resolution Schemes , 2018, 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS).

[19]  Amin Saberi,et al.  Nearly Optimal Pricing Algorithms for Production Constrained and Laminar Bayesian Selection , 2018, EC.

[20]  Paul Dütting,et al.  Posted Pricing and Prophet Inequalities with Inaccurate Priors , 2019, EC.

[21]  Shuchi Chawla,et al.  Pricing for Online Resource Allocation: Intervals and Paths , 2019, SODA.

[22]  Nick Gravin,et al.  Prophet Inequality for Bipartite Matching: Merits of Being Simple and Non Adaptive , 2019, EC.

[23]  José R. Correa,et al.  Prophet Inequalities for I.I.D. Random Variables from an Unknown Distribution , 2019, EC.

[24]  José R. Correa,et al.  Prophet secretary through blind strategies , 2018, Mathematical Programming.