Laminar Matroid Secretary: Greedy Strikes Back
Zhiyi Huang, Zahra Parsaeian, Zixuan Zhu
TL;DR
This work tackles the Laminar Matroid Secretary Problem by proposing a simple greedy algorithm in a continuous-time arrival model. The algorithm delays decisions until a threshold $t_0$ and then accepts elements arriving at time $t$ only if they belong to $OPT(t)$ and maintain independence, with a key improvement arising from using $OPT(t)$ rather than the previous local optimum. The main result is a $4.75$-competitive guarantee, derived via a probabilistic analysis that decomposes the laminar structure into blocks with capacities $c(B_i)$ and leverages Gamma/exponential arrival-time distributions and a union bound, aided by numerical verification at $t_0=0.7$. This advances the state of the art for laminar matroids, achieving a tighter bound than the prior $3\sqrt{3} \approx 5.196$-competitive result, and operates in the ordinal model, enhancing practical applicability.
Abstract
We show that a simple greedy algorithm is $4.75$ probability-competitive for the Laminar Matroid Secretary Problem, improving the $3\sqrt{3} \approx 5.196$-competitive algorithm based on the forbidden sets technique (Soto, Turkieltaub, and Verdugo, 2018).
