SimOpt: A Testbed for Simulation-Optimization Experiments
Eckman, D. J., S. G. Henderson, and S. Shashaani
INFORMS Journal on Computing. (Accepted.)
Pre-Print / GitHub
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms
Eckman, D. J., S. G. Henderson, and S. Shashaani
INFORMS Journal on Computing. (Articles in Advance.)
DOI / Pre-Print
Automatic Differentiation for Gradient Estimators in Simulation
Ford, M. T., D. J. Eckman, and S. G. Henderson
Proceedings of the 2022 Winter Simulation Conference. 2022. 3134–3145.
DOI / Paper
Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces
Eckman, D. J., M. Plumlee, and B. L. Nelson
Operations Research. 2022. 70(6): 3473–3489.
DOI / Pre-Print / Slides / Presentation / GitHub
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures
Eckman, D. J. and S. G. Henderson
INFORMS Journal on Computing. 2022. 34(3):1711–1728.
DOI / Paper / Slides / Presentation / GitHub
Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions
Eckman, D. J., M. Plumlee, and B. L. Nelson
Proceedings of the 2021 Winter Simulation Conference. 2021. Article No. 247.
DOI / Paper
Fixed-Confidence, Fixed-Tolerance Guarantees for Selection-of-the-Best Procedures
Eckman, D. J. and S. G. Henderson
ACM Transactions on Modeling and Computer Simulation (TOMACS). 2021. 31(2):7:1–7:33.
DOI / Pre-Print / Slides
Revisiting Subset Selection
Eckman, D. J., M. Plumlee, and B. L. Nelson
Proceedings of the 2020 Winter Simulation Conference. 2020. 2972-2983.
DOI / Paper / Slides / Presentation
Biased Gradient Estimators in Simulation Optimization
Eckman, D. J. and S. G. Henderson
Proceedings of the 2020 Winter Simulation Conference. 2020. 2935-2946.
DOI / Paper
Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons
Eckman, D. J., S. G. Henderson, and R. Pasupathy
Proceedings of the 2019 Winter Simulation Conference. 2019. 3457–3467.
DOI / Paper / Slides
Green Simulation Optimization Using Likelihood Ratio Estimators
Eckman, D. J. and M. B. Feng
Proceedings of the 2018 Winter Simulation Conference. 2018. 2049–2060.
* Awarded Best Student Paper (INFORMS Simulation Society).
DOI / Paper / Slides / Poster
Guarantees on the Probability of Good Selection
Eckman, D. J. and S. G. Henderson
Proceedings of the 2018 Winter Simulation Conference. 2018. 351–365.
DOI / Paper / Slides
Reusing Search Data in Ranking and Selection: What Could Possibly Go Wrong?
Eckman, D. J. and S. G. Henderson
ACM Transactions on Modeling and Computer Simulation (TOMACS). 2018. 28(3):18:1–18:15.
DOI / Pre-Print / Slides / Poster / GitHub
Empirically Comparing the Finite-Time Performance of Simulation-Optimization Algorithms
Dong, N., D. J. Eckman, X. Zhao, M. Poloczek, and S. G. Henderson
Proceedings of the 2017 Winter Simulation Conference. 2017. 2206–2217.
DOI / Paper / Slides
Optimal Pinging Frequencies in the Search for an Immobile Beacon
Eckman, D., L. Maillart, and A. Schaefer
IIE Transactions. 2016. 48(6):489–500.
* Awarded Best Applications Paper in Operations Engineering & Analytics Issue.
DOI / Pre-Print / Slides
Sensitivity Analysis of an ICU Simulation Model
Bountourelis, T., D. Eckman, L. Luangkesorn, A. Schaefer, S. G. Nabors, and G. Clermont
Proceedings of the 2012 Winter Simulation Conference. 2012. 931–942.
DOI / Paper