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Alessandro Arlotto
Alessandro Arlotto
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Uniformly bounded regret in the multisecretary problem
A Arlotto, I Gurvich
Stochastic Systems 9 (3), 231-260, 2019
742019
Optimal hiring and retention policies for heterogeneous workers who learn
A Arlotto, SE Chick, N Gans
Management Science 60 (1), 110-129, 2014
642014
Hessian orders and multinormal distributions
A Arlotto, M Scarsini
Journal of Multivariate Analysis 100 (10), 2324-2330, 2009
292009
Markov decision problems where means bound variances
A Arlotto, N Gans, JM Steele
Operations Research 62 (4), 864-875, 2014
262014
Optimal online selection of a monotone subsequence: a central limit theorem
A Arlotto, VV Nguyen, JM Steele
Stochastic Processes and their Applications 125 (9), 3596-3622, 2015
242015
Logarithmic regret in the dynamic and stochastic knapsack problem with equal rewards
A Arlotto, X Xie
arXiv preprint arXiv:1809.02016, 2018
232018
Quickest online selection of an increasing subsequence of specified size
A Arlotto, E Mossel, JM Steele
Random Structures & Algorithms 49 (2), 235-252, 2016
162016
Optimal sequential selection of a unimodal subsequence of a random sequence
A Arlotto, JM Steele
Combinatorics Probability and Computing 20 (6), 799 - 814, 2011
162011
Strategic Open Routing in Service Networks
A Arlotto, AE Frazelle, Y Wei
Management Science, 2018
15*2018
Optimal employee retention when inferring unknown learning curves
A Arlotto, N Gans, S Chick
Proceedings of the 2010 winter simulation conference, 1178-1188, 2010
152010
An adaptive O (log n)‐optimal policy for the online selection of a monotone subsequence from a random sample
A Arlotto, Y Wei, X Xie
Random Structures & Algorithms 52 (1), 41-53, 2018
122018
A central limit theorem for temporally nonhomogenous markov chains with applications to dynamic programming
A Arlotto, JM Steele
Mathematics of Operations Research 41 (4), 1448-1468, 2016
122016
Beardwood–Halton–Hammersley theorem for stationary ergodic sequences: a counterexample
A Arlotto, JM Steele
122016
Online selection of alternating subsequences from a random sample
A Arlotto, RW Chen, LA Shepp, JM Steele
Journal of applied probability 48 (4), 1114-1132, 2011
122011
Optimal online selection of an alternating subsequence: A central limit theorem
A Arlotto, JM Steele
Advances in Applied Probability 46 (2), 536-559, 2014
72014
Dynamic resource allocation: The geometry and robustness of constant regret
A Vera, A Arlotto, I Gurvich, E Levin
Working paper, 2020
52020
Online Demand Fulfillment Problem with Initial Inventory Placement: A Regret Analysis
A Arlotto, IN Keskin, Y Wei
Available at SSRN 4666493, 2023
12023
A Central Limit Theorem for Costs in Bulinskaya’s Inventory Management Problem When Deliveries Face Delays
A Arlotto, JM Steele
Methodology and Computing in Applied Probability 20 (3), 839-854, 2018
12018
Essays in problems of optimal sequential decisions
A Arlotto
University of Pennsylvania, 2012
2012
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