SCHOLARS@TAMU

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023). SimOpt: A Testbed for Simulation-Optimization Experiments. INFORMS Journal on Computing.

Eckman, D. J., Henderson, S. G., & Shashaani, S. (2023). Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. INFORMS Journal on Computing.

Eckman, D. J., Plumlee, M., & Nelson, B. L. (2022). Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces. OPERATIONS RESEARCH. 70(6), 3473-3489.

Eckman, D. J., & Henderson, S. G. (2022). Posterior-Based Stopping Rules for Bayesian Ranking-and- Selection Procedures. INFORMS JOURNAL ON COMPUTING. 34(3), 1711-1728.

Eckman, D. J., & Henderson, S. G. (2021). Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures. ACM Transactions on Modeling and Computer Simulation. 31(2), 1-33.

Ford, M. T., Henderson, S. G., & Eckman, D. J. (2022). Automatic Differentiation for Gradient Estimators in Simulation. 2022 Winter Simulation Conference (WSC), 2022 Winter Simulation Conference (WSC). 00, 3134-3145.

Eckman, D. J., Plumlee, M., & Nelson, B. L. (2021). Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions. 2021 Winter Simulation Conference (WSC), 2021 Winter Simulation Conference (WSC). 00, 1-12.

Eckman, D. J., & Henderson, S. G. (2020). Biased Gradient Estimators in Simulation Optimization. 2020 Winter Simulation Conference (WSC), 2020 Winter Simulation Conference (WSC). 00, 2935-2946.

Eckman, D. J., Plumlee, M., & Nelson, B. L. (2020). Revisiting Subset Selection. 2020 Winter Simulation Conference (WSC), 2020 Winter Simulation Conference (WSC). 00, 2972-2983.

Eckman, D. J., Henderson, S. G., & Pasupathy, R. (2019). Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons. 2019 Winter Simulation Conference (WSC), 2019 Winter Simulation Conference (WSC). 00, 3457-3467.

Dong, N., Eckman, D. J., Poloczek, M., Zhao, X., & Henderson, S. G. (2017). Comparing the Finite-Time Performance of Simulation-Optimization Algorithms.