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20112025
most citedUniformly bounded regret in the multi-secretary problem

83 citations · 145 across the 12 of their papers we have counts for

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11 papers · 1 filter

math.PR2018★ 2 cited

Logarithmic regret in the dynamic and stochastic knapsack problem with equal rewards

Alessandro Arlotto, Xinchang Xie

We study a dynamic and stochastic knapsack problem in which a decision maker is sequentially presented with items arriving according to a Bernoulli process over discrete time p…

math.PR2017★ 83 cited

Uniformly bounded regret in the multi-secretary problem

Alessandro Arlotto, Itai Gurvich

In the secretary problem of Cayley (1875) and Moser (1956), non-negative, independent, random variables with common distribution are sequentially presented to a decision maker…

math.PR2016

A central limit theorem for costs in Bulinskaya's inventory management problem when deliveries face delays

Alessandro Arlotto, J. Michael Steele

It is common in inventory theory to consider policies that minimize the expected cost of ordering and holding goods or materials. Nevertheless, the realized cost is a random variab…

math.PR2016★ 6 cited

An adaptive -optimal policy for the online selection of a monotone subsequence from a random sample

Alessandro Arlotto, Yehua Wei, Xinchang Xie

Given a sequence of independent random variables with common continuous distribution, we propose a simple adaptive online policy that selects a monotone increasing subsequence.…

math.PR2015★ 7 cited

A central limit theorem for temporally non-homogenous Markov chains with applications to dynamic programming

Alessandro Arlotto, J. Michael Steele

We prove a central limit theorem for a class of additive processes that arise naturally in the theory of finite horizon Markov decision problems. The main theorem generalizes a cla…

math.PR2014★ 9 cited

Quickest Online Selection of an Increasing Subsequence of Specified Size

Alessandro Arlotto, Elchanan Mossel, J. Michael Steele

Given a sequence of independent random variables with a common continuous distribution, we consider the online decision problem where one seeks to minimize the expected value of th…

math.PR2014★ 16 cited

Optimal Online Selection of a Monotone Subsequence: a Central Limit Theorem

Alessandro Arlotto, Vinh V. Nguyen, J. Michael Steele

Consider a sequence of independent random variables with a common continuous distribution , and consider the task of choosing an increasing subsequence where the observation…

math.PR2013★ 6 cited

Beardwood-Halton-Hammersley Theorem for Stationary Ergodic Sequences: a Counterexample

Alessandro Arlotto, J. Michael Steele

We construct a stationary ergodic process such that each has the uniform distribution on the unit square and the length of the shortest path through…

math.PR2012★ 3 cited

Optimal On-Line Selection of an Alternating Subsequence: A Central Limit Theorem

Alessandro Arlotto, J. Michael Steele

We analyze the optimal policy for the sequential selection of an alternating subsequence from a sequence of independent observations from a continuous distribution , and we…

math.PR2011★ 13 cited

Optimal Sequential Selection of a Unimodal Subsequence of a Random Sequence

Alessandro Arlotto, J. Michael Steele

We consider the problem of selecting sequentially a unimodal subsequence from a sequence of independent identically distributed random variables, and we find that a person doing op…

math.PR2011

On-Line Selection of Alternating Subsequences from a Random Sample

Alessandro Arlotto, Robert W. Chen, Lawrence A. Shepp +1

We consider sequential selection of an alternating subsequence from a sequence of independent, identically distributed, continuous random variables, and we determine the exact asym…