| Guarantees on the probability of good selection DJ Eckman, SG Henderson 2018 Winter Simulation Conference (WSC), 351-365, 2018 | 24 | 2018 |
| SimOpt: A testbed for simulation-optimization experiments DJ Eckman, SG Henderson, S Shashaani INFORMS Journal on Computing 35 (2), 495-508, 2023 | 19 | 2023 |
| Reusing search data in ranking and selection: What could possibly go wrong? DJ Eckman, SG Henderson ACM Transactions on Modeling and Computer Simulation (TOMACS) 28 (3), 1-15, 2018 | 18 | 2018 |
| Diagnostic tools for evaluating and comparing simulation-optimization algorithms DJ Eckman, SG Henderson, S Shashaani INFORMS Journal on Computing 35 (2), 350-367, 2023 | 16 | 2023 |
| Plausible screening using functional properties for simulations with large solution spaces DJ Eckman, M Plumlee, BL Nelson Operations Research 70 (6), 3473-3489, 2022 | 12 | 2022 |
| Empirically comparing the finite-time performance of simulation-optimization algorithms NA Dong, DJ Eckman, X Zhao, SG Henderson, M Poloczek 2017 Winter Simulation Conference (WSC), 2206-2217, 2017 | 12 | 2017 |
| Posterior-based stopping rules for Bayesian ranking-and-selection procedures DJ Eckman, SG Henderson INFORMS Journal on Computing 34 (3), 1711-1728, 2022 | 11 | 2022 |
| Revisiting subset selection DJ Eckman, M Plumlee, BL Nelson 2020 Winter Simulation Conference (WSC), 2972-2983, 2020 | 11 | 2020 |
| Biased gradient estimators in simulation optimization DJ Eckman, SG Henderson 2020 Winter Simulation Conference (WSC), 2935-2946, 2020 | 11 | 2020 |
| Fixed-confidence, fixed-tolerance guarantees for selection-of-the-best procedures DJ Eckman, SG Henderson Technical report, Working paper, Cornell University, School of Operations …, 2018 | 10 | 2018 |
| Fixed-confidence, fixed-tolerance guarantees for ranking-and-selection procedures DJ Eckman, SG Henderson ACM Transactions on Modeling and Computer Simulation (TOMACS) 31 (2), 1-33, 2021 | 8 | 2021 |
| Simulation optimization library DJ Eckman, SG Henderson, R Pasupathy, S Shashaani | 8 | 2020 |
| SimOpt DJ Eckman, SG Henderson, S Shashaani, R Pasupathy GitHub repository, 2021 | 7 | 2021 |
| Redesigning a testbed of simulation-optimization problems and solvers for experimental comparisons DJ Eckman, SG Henderson, R Pasupathy 2019 Winter Simulation Conference (WSC), 3457-3467, 2019 | 7 | 2019 |
| Green simulation optimization using likelihood ratio estimators DJ Eckman, MB Feng 2018 Winter Simulation Conference (WSC), 2049-2060, 2018 | 7 | 2018 |
| Sensitivity analysis of an ICU simulation model T Bountourelis, D Eckman, L Luangkesorn, A Schaefer, SG Nabors, ... Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 7 | 2012 |
| Comparing the finite-time performance of simulation-optimization algorithms N Dong, DJ Eckman, M Poloczek, X Zhao, SG Henderson arXiv preprint arXiv:1705.07825, 2017 | 5 | 2017 |
| Optimal pinging frequencies in the search for an immobile beacon DJ Eckman, LM Maillart, AJ Schaefer IIE Transactions 48 (6), 489-500, 2016 | 5 | 2016 |
| Automatic differentiation for gradient estimators in simulation MT Ford, SG Henderson, DJ Eckman 2022 Winter Simulation Conference (WSC), 3134-3145, 2022 | 4 | 2022 |
| Flat chance! using stochastic gradient estimators to assess plausible optimality for convex functions DJ Eckman, M Plumlee, BL Nelson 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 4 | 2021 |