First, for the for the submodular $k$-secretary problem with shortlists [1], we provide a near optimal $1-1/e-\epsilon$ approximation using shortlist of size $O(k poly(1/\epsilon))$. In particular, we improve the size of shortlist used in \cite{us} from $O(k 2^{poly(1/\epsilon)})$ to $O(k poly(1/\epsilon))$. As a result, we provide a near optimal approximation algorithm for random-order streaming of monotone submodular functions under cardinality constraints, using memory $O(k poly(1/\epsilon))$. It exponentially improves the running time and memory of \cite{us} in terms of $1/\epsilon$. Next we generalize the problem to matroid constraints, which we refer to as submodular matroid secretary problem with shortlists. It is a variant of the \textit{matroid secretary problem} \cite{feldman2014simple}, in which the algorithm is allowed to have a shortlist. We design an algorithm that achieves a $\frac{1}{2}(1-1/e^2 -\epsilon)$ competitive ratio for any constant $\epsilon>0$, using a shortlist of size $O(k poly(\frac{1}{\epsilon}))$. Moreover, we generalize our results to the case of $p$-matchoid constraints and give a $\frac{1}{p+1}(1-1/e^{p+1}-\epsilon )$ approximation using shortlist of size $O(k poly(\frac{1}{\epsilon}))$. It asymptotically approaches the best known offline guarantee $\frac{1}{p+1}$ [22]. Furthermore, we show that our algorithms can be implemented in the streaming setting using $O(k poly(\frac{1}{\epsilon}))$ memory.

翻译：首先,对于(k) 2 ⁇ (1/\ epsilon) $ (k) (1/\ epsilon) 的短名单 [1],我们提供近乎最佳的1-1/ e- epsilon$近似值近似值,使用大小为 $O(k) (1/\ epsilon) 的短名单。特别是,我们将用于\ cite{us} 的短名单从(k) 2 ⁇ (1/\ epsilon) 美元提高到 $(k) 聚(1/\ epsilon) 美元。因此,我们提供了一个近乎最佳的近似近似近似近似值算算法, 用于在基底限制下运行单数的单数的单数 $( tiplickr% 1) 的单数流流流流流流流流流, 使用一个常数1 ===lickral_ 美元的算法 。