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This paper considers a variation of the full-information secretary problem where the random variables to be observed are independent but not necessary identically distributed. The main result is a sharp lower bound for the optimal win…

概率论 · 数学 2018-12-12 Pieter C. Allaart , Jose A. Islas

We revisit the knapsack-secretary problem (Babaioff et al.; APPROX 2007), a generalization of the classic secretary problem in which items have different sizes and multiple items may be selected if their total size does not exceed the…

数据结构与算法 · 计算机科学 2022-08-11 Andreas Abels , Leon Ladewig , Kevin Schewior , Moritz Stinzendörfer

This paper studies an online trading variant of the classical secretary problem, called secretary problem variant trading (SPVT), from the perspective of an intermediary who facilitates trade between a seller and $n$ buyers (collectively…

最优化与控制 · 数学 2026-04-20 Xujin Chen , Xiaodong Hu , Changjun Wang , Yuchun Xiong , Qingjie Ye

A version of the secretary problem is considered. The ranks of items, whose values are independent, identically distributed random variables $X_1,X_2,...,X_n$ from a uniform distribution on $[0; 1]$, are observed sequentially by the grader.…

最优化与控制 · 数学 2020-11-23 Krzysztof Szajowski

We consider a variant of the secretary problem in which the candidates state their expected salary at the interview, which we assume is in accordance with their qualifications. The goal is for the employer to hire the best or the worst…

概率论 · 数学 2016-03-22 L. Bayon , J. Grau , A. M. Oller-Marcen , M. Ruiz , P. M. Suarez

We consider the secretary problem through the lens of learning-augmented algorithms. As it is known that the best possible expected competitive ratio is $1/e$ in the classic setting without predictions, a natural goal is to design…

数据结构与算法 · 计算机科学 2024-11-05 Davin Choo , Chun Kai Ling

The J-choice K-best secretary problem, also known as the (J,K)-secretary problem, is a generalization of the classical secretary problem. An algorithm for the (J,K)-secretary problem is allowed to make J choices and the payoff to be…

数据结构与算法 · 计算机科学 2013-07-03 T-H. Hubert Chan , Fei Chen

In this paper, we discuss a stochastic decision problem of optimally selecting the order in which to try $n$ opportunities that may yield an uncertain reward in the future. The motivation came out from pure curiosity, after an informal…

计算机科学与博弈论 · 计算机科学 2016-09-27 Giuseppe C. Calafiore

The Santa Claus problem is a fundamental problem in fair division: the goal is to partition a set of heterogeneous items among heterogeneous agents so as to maximize the minimum value of items received by any agent. In this paper, we study…

计算机科学与博弈论 · 计算机科学 2023-03-07 MohammadTaghi Hajiaghayi , MohammadReza Khani , Debmalya Panigrahi , Max Springer

We define a new selection problem, \emph{Selecting with History}, which extends the secretary problem to a setting with historical information. We propose a strategy for this problem and calculate its success probability in the limit of a…

数据结构与算法 · 计算机科学 2018-09-27 Tom Hess , Sivan Sabato

The classical analysis of online algorithms, due to its worst-case nature, can be quite pessimistic when the input instance at hand is far from worst-case. Often this is not an issue with machine learning approaches, which shine in…

数据结构与算法 · 计算机科学 2020-10-22 Antonios Antoniadis , Themis Gouleakis , Pieter Kleer , Pavel Kolev

Online advertising has motivated interest in online selection problems. Displaying ads to the right users benefits both the platform (e.g., via pay-per-click) and the advertisers (by increasing their reach). In practice, not all users click…

计算机科学与博弈论 · 计算机科学 2024-08-16 Sebastian Perez-Salazar , Mohit Singh , Alejandro Toriello

We study the secretary problem in which rank-ordered lists are generated by the Mallows model and the goal is to identify the highest-ranked candidate through a sequential interview process which does not allow rejected candidates to be…

统计方法学 · 统计学 2023-03-03 Xujun Liu , Olgica Milenkovic , George V. Moustakides

The classical secretary problem has been generalized over the years into several directions. In this paper we confine our interest to those generalizations which have to do with the more general problem of stopping on a last observation of…

性能 · 计算机科学 2017-05-29 Guy Louchard

An unknown positive number of items arrive at independent uniformly distributed times in the interval [0,1] to a selector, whose task is to pick online the last one. We show that under the assumption of an adversary determining the number…

计算机科学与博弈论 · 计算机科学 2011-04-18 Johan Wästlund

We study the success probability for a variant of the secretary problem, with noisy observations and multiple offline selection. Our formulation emulates, and is motivated by, problems involving noisy selection arising in the disciplines of…

最优化与控制 · 数学 2021-06-11 Robert Chin , Jonathan E. Rowe , Iman Shames , Chris Manzie , Dragan Nešić

We consider the online problem in which an intermediary trades identical items with a sequence of n buyers and n sellers, each of unit demand. We assume that the values of the traders are selected by an adversary and the sequence is…

计算机科学与博弈论 · 计算机科学 2020-07-17 Elias Koutsoupias , Philip Lazos

The prophet and secretary problems demonstrate online scenarios involving the optimal stopping theory. In a typical prophet or secretary problem, selection decisions are assumed to be immediate and irrevocable. However, many online settings…

计算机科学与博弈论 · 计算机科学 2019-11-07 Tomer Ezra , Michal Feldman , Ilan Nehama

As a famous result, the ``37\% Law'' for Secretary Problem has widely influenced peoples' perception on online decision strategies about choice. However, using this strategy, too many attractive candidates may be rejected in the first 37\%,…

计算机科学与博弈论 · 计算机科学 2022-07-15 Zishuo Zhao

When allocating indivisible items to agents, it is known that the only strategyproof mechanisms that satisfy a set of rather mild conditions are constrained serial dictatorships: given a fixed order over agents, at each step the designated…

计算机科学与博弈论 · 计算机科学 2025-02-28 Sylvain Bouveret , Hugo Gilbert , Jérôme Lang , Guillaume Méroué