M.S., Università degli Studi di Torino (Italy), 2007
B.S., Università degli Studi di Torino (Italy), 2004
Research Interests:
Applied probability
Stochastic modeling
Stochastic dynamic programming
Combinatorial optimization
Applications to management sciences and economics
Election analytics
Grants Funded:
National Science Foundation, CAREER Award, The effects of centralized and decentralized sequential decisions on system performance. (nsf)
National Science Foundation, Conference on probability theory and combinatorial optimization. (nsf)
Current Projects:
Sequential policies and the distributions of their total rewards in dynamic and stochastic knapsack problems,
joint with Y. T. Kuo and X. Xie.
Data-driven monitoring of the optimality of policies across many Markov decision problems,
joint with A. Belloni and X. Xie.
Working Papers:
Arlotto, A., Belloni, A. Fang, F. and Pekeč, S. (2025)
Ballot design and electoral outcomes: the role of candidate order and party affiliation,
under review. (pdf)(arXiv)
Published Papers:
Arlotto, A., Keskin, I. N., and Wei, Y. (2025) Online demand fulfillment problem with initial
inventory placement: a regret analysis, Operations Research, forthcoming. (pdf)(SSRN)
Finalist in the 2024 POMS College of Supply Chain Management Best Student Paper Competition (Entrant: I. N. Keskin)
Vera, A., Arlotto, A., Gurvich, I., and Levin, E. (2025) Dynamic resource allocation: the geometry and robustness of constant regret, Mathematics of Operations Research, 50, 2433-3282. (pdf)
Arlotto, A. and Xie, X. (2020) Logarithmic regret in the dynamic and stochastic knapsack problem with equal rewards, Stochastic Systems, 10, 170-191. (pdf)(arXiv)
Arlotto, A. and Gurvich, I. (2019) Uniformly bounded regret in the multi-secretary problem, Stochastic Systems, 9, 231-260. (pdf)(arXiv)
Winner of the 2021 INFORMS Applied Probability Society Best Publication Award
Arlotto, A., Frazelle, A. E., and Wei, Y. (2019) Strategic open routing in service networks, Management Science, 65, 735-750. (pdf)(online appendix)(ssrn)
Winner of the 2019 M&SOM Service Management SIG Best Paper Award
Finalist in the 2016 M&SOM Student Paper Competition (Entrant: A. E. Frazelle)
Arlotto, A. and Steele, J. M. (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. (pdf)(arXiv)
Arlotto, A., Wei, Y., and Xie, X. (2018) An adaptive O(log n)-optimal policy for the online selection of a monotone subsequence from a random sample, Random Structures & Algorithms, 52, 41-53. (pdf)(arXiv)
Arlotto, A. and Steele, J. M. (2016) A central limit theorem for temporally non-homogenous Markov chains with applications to dynamic programming, Mathematics of Operations Research, 41, 1448-1468. (pdf)(arXiv)
Arlotto, A. and Steele, J. M. (2016) Beardwood-Halton-Hammersley theorem for stationary ergodic sequences: a counterexample, The Annals of Applied Probability, 26, 2141-2168. (pdf)(arXiv)
Arlotto, A., Mossel, E., and Steele, J. M. (2016) Quickest online selection of an increasing subsequence of specified size, Random Structures & Algorithms, 49, 235-252. (pdf)(arXiv)
Arlotto, A., Nguyen, V. V. , and Steele, J. M. (2015) Optimal online selection of a monotone subsequence: a central limit theorem, Stochastic Processes and their Applications, 125, 3596-3622. (pdf)(arXiv)
Arlotto, A., Gans, N., and Steele, J. M. (2014) Markov decision problems where means bound variances, Operations Research, 62, 864-875. (pdf)
Arlotto, A. and Steele, J. M. (2014) Optimal online selection of an alternating subsequence: a central limit theorem, Advances in Applied Probability, 46, 536-559. (pdf)(arXiv)
Arlotto, A., Chick, S. E., and Gans, N. (2014) Optimal hiring and retention policies for heterogeneous workers who learn, Management Science, 60, 110-129. (pdf)(online appendix)
Arlotto, A., Chen, R. W., Shepp, L. A. and Steele, J. M. (2011) Online selection of alternating subsequences from a random sample, Journal of Applied Probability, 48, 1114-1132.
(pdf)(arXiv)
Arlotto, A. and Steele, J. M. (2011) Optimal sequential selection of a unimodal subsequence of a random sequence, Combinatorics, Probability and Computing, 20, 799-814.
(pdf)(arXiv)
Arlotto, A. and Scarsini, M. (2009) Hessian orders and multinormal distributions, Journal of Multivariate Analysis, 100, 2324-2330.
(pdf)
Conference Proceedings:
Arlotto, A., Chick, S. E., and Gans, N. (2010) Optimal employee retention when inferring unknown learning curves, Proceedings of the 2010 Winter Simulation Conference, 1178-1188.
(pdf)
Alessandro Arlotto