Sensitivity analysis of an ICU simulation model. - Theologos Bountourelis; David J. Eckman; K. Louis Luangkesorn; Andrew J. Schaefer; Spencer G. Nabors; Gilles Clermont (WSC, 2012)

Challenges in applying ranking and selection after search. - David J. Eckman; Shane G. Henderson (WSC, 2016)

Empirically comparing the finite-time performance of simulation-optimization algorithms. - Naijia Anna Dong; David J. Eckman; Xueqi Zhao; Shane G. Henderson; Matthias Poloczek (WSC, 2017)

Green simulation Optimization using likelihood ratio estimators. - David J. Eckman; Mingbin Ben Feng (WSC, 2018)

Guarantees on the Probability of Good Selection. - David J. Eckman; Shane G. Henderson (WSC, 2018)

Reusing Search Data in Ranking and Selection: What Could Possibly Go Wrong? - David J. Eckman; Shane G. Henderson (ACM Trans. Model. Comput. Simul., 2018)

Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons. - David J. Eckman; Shane G. Henderson; Raghu Pasupathy (WSC, 2019)

Biased Gradient Estimators in Simulation Optimization. - David J. Eckman; Shane G. Henderson (WSC, 2020)

Revisiting Subset Selection. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (WSC, 2020)

Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (WSC, 2021)

Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures. - David J. Eckman; Shane G. Henderson (ACM Trans. Model. Comput. Simul., 2021)

Automatic Differentiation for Gradient Estimators in Simulation. - Matthew T. Ford; Shane G. Henderson; David J. Eckman (WSC, 2022)

Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures. - David J. Eckman; Shane G. Henderson (INFORMS J. Comput., 2022)

Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (Oper. Res., 2022)

Stochastic Constraints: How Feasible Is Feasible? - David J. Eckman; Shane G. Henderson; Sara Shashaani (WSC, 2023)

Screening Simulated Systems for Optimization. - Jinbo Zhao; David J. Eckman; Javier Gatica (WSC, 2023)

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. - David J. Eckman; Shane G. Henderson; Sara Shashaani (INFORMS J. Comput., 2023)

SimOpt: A Testbed for Simulation-Optimization Experiments. - David J. Eckman; Shane G. Henderson; Sara Shashaani (INFORMS J. Comput., 2023)

Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming. - Nicole Felice; Sara Shashaani; David J. Eckman; Susan M. Sanchez (WSC, 2024)

Rate-Optimal Budget Allocation for the Probability of Good Selection. - Taeho Kim; David J. Eckman (WSC, 2024)

Data Farming the Parameters of Simulation-Optimization Solvers. - Sara Shashaani; David J. Eckman; Susan M. Sanchez (ACM Trans. Model. Comput. Simul., 2024)