Alessandro Arlotto, Ph.D.
Affiliations: | 2012 | Operations and Information Management | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Operations Research, Business EducationGoogle:
"Alessandro Arlotto"Parents
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Publications
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| Arlotto A, Gurvich I. (2019) Uniformly Bounded Regret in the Multisecretary Problem Arxiv: Probability. 9: 231-260 |
| Arlotto A, Steele JM. (2018) A Central Limit Theorem for Costs in Bulinskaya’s Inventory Management Problem When Deliveries Face Delays Methodology and Computing in Applied Probability. 20: 839-854 |
| Arlotto A, Wei Y, Xie X. (2018) An adaptive O(log n)-optimal policy for the online selection of a monotone subsequence from a random sample Random Structures and Algorithms. 52: 41-53 |
| Arlotto A, Steele JM. (2016) A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming Mathematics of Operations Research. 41: 1448-1468 |
| Arlotto A, Mossel E, Steele JM. (2016) Quickest online selection of an increasing subsequence of specified size Random Structures & Algorithms. 49: 235-252 |
| Arlotto A, Nguyen VV, Steele JM. (2015) Optimal online selection of a monotone subsequence: A central limit theorem Stochastic Processes and Their Applications. 125: 3596-3622 |
| Arlotto A, Gans N, Steele JM. (2014) Markov Decision Problems Where Means Bound Variances Operations Research. 62: 864-875 |
| Arlotto A, Chick SE, Gans N. (2014) Optimal hiring and retention policies for heterogeneous workers who learn Management Science. 60: 110-129 |
| Arlotto A, Steele JM. (2014) Optimal Online Selection Of An Alternating Subsequence: A Central Limit Theorem Advances in Applied Probability. 46: 536-559 |
| Arlotto A, Chen RW, Shepp LA, et al. (2011) Online selection of alternating subsequences from a random sample Journal of Applied Probability. 48: 1114-1132 |