Diagnostic Tools for Evaluating Solvers for Stochastically Constrained Simulation Optimization Problems
Felice, N., D. J. Eckman, S. G. Henderson, and S. Shashaani
Under review.
Methods of Plausible Inference for Multi-Objective Simulation Optimization
Zhao, J. and D. J. Eckman
Under review.
Plausible Intervals: Global Inference from Limited Simulation of Structured Problems
Qiao, T., D. J. Eckman, and B. L. Nelson
Under review.
One-Shot Screening of Simulated Systems for Acceptability
Zhao, J. and D. J. Eckman
Under review.
Methods of Plausible Inference: The Definitive Cookbook
Zhao, J., G. Keslin, D. J. Eckman, and B. L. Nelson
Accepted to the 2025 Winter Simulation Conference.
Quantifying Uncertainty from Machine Learning Surrogate Models Embedded in Simulation Models
Ghasemloo, M., D. J. Eckman, and Y. Li
Accepted to the 2025 Winter Simulation Conference.
An Agglomerative Clustering Algorithm for Simulation Output Distributions Using Regularized Wasserstein Distance
Ghasemloo, M. and D. J. Eckman
INFORMS Journal on Data Science
DOI
Generators for Large-Scale Stochastic Simulation-Optimization Experiments
Oswalt, R. and D. J. Eckman
Proceedings of SW25: The OR Society’s 12th Simulation Workshop. 2025. 229–238.
DOI
Repeatedly Solving Similar Simulation-Optimization Problems: Insights From Data Farming
Felice, N., S. Shashaani, D. J. Eckman, and S. M. Sanchez
Proceedings of the 2024 Winter Simulation Conference. 2024. 3470–3481.
Paper
Rate-Optimal Budget Allocation for the Probability of Good Selection
Kim, T. and D. J. Eckman
Proceedings of the 2024 Winter Simulation Conference. 2024. 3324–3335.
* Finalist for Best Contributed Theoretical Paper.
Paper / Slides
Data Farming the Parameters of Simulation-Optimization Solvers
Shashaani, S., D. J. Eckman, and S. M. Sanchez
ACM Transactions on Modeling and Computer Simulation (TOMACS). 2024. 34(4):24:1–24:29.
DOI
Screening Simulated Systems for Optimization
Zhao, J., J. Gatica, and D. J. Eckman
Proceedings of the 2023 Winter Simulation Conference. 2023. 1-15.
DOI / Paper / Slides
Stochastic Constraints: How Feasible is Feasible?
Eckman, D. J., S. G. Henderson, and S. Shashaani
Proceedings of the 2023 Winter Simulation Conference. 2023. 3589-3600.
DOI / Paper / Slides
SimOpt: A Testbed for Simulation-Optimization Experiments
Eckman, D. J., S. G. Henderson, and S. Shashaani
INFORMS Journal on Computing. 2023. 35(2):495–508.
DOI / 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. 2023. 35(2):350–367.
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.
* Awarded 2023 Outstanding Simulation Publication (INFORMS Simulation Society).
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