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David J. Eckman
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2020 – today
- 2023
- [j6]David J. Eckman, Shane G. Henderson, Sara Shashaani:
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. INFORMS J. Comput. 35(2): 350-367 (2023) - [j5]David J. Eckman, Shane G. Henderson, Sara Shashaani:
SimOpt: A Testbed for Simulation-Optimization Experiments. INFORMS J. Comput. 35(2): 495-508 (2023) - [c12]Jinbo Zhao, David J. Eckman, Javier Gatica:
Screening Simulated Systems for Optimization. WSC 2023: 1-15 - [c11]David J. Eckman, Shane G. Henderson, Sara Shashaani:
Stochastic Constraints: How Feasible Is Feasible? WSC 2023: 3589-3600 - 2022
- [j4]David J. Eckman, Shane G. Henderson:
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures. INFORMS J. Comput. 34(3): 1711-1728 (2022) - [j3]David J. Eckman, Matthew Plumlee, Barry L. Nelson:
Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces. Oper. Res. 70(6): 3473-3489 (2022) - [c10]Matthew T. Ford, Shane G. Henderson, David J. Eckman:
Automatic Differentiation for Gradient Estimators in Simulation. WSC 2022: 3134-3145 - 2021
- [j2]David J. Eckman, Shane G. Henderson:
Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures. ACM Trans. Model. Comput. Simul. 31(2): 7:1-7:33 (2021) - [c9]David J. Eckman, Matthew Plumlee, Barry L. Nelson:
Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions. WSC 2021: 1-12 - 2020
- [c8]David J. Eckman, Shane G. Henderson:
Biased Gradient Estimators in Simulation Optimization. WSC 2020: 2935-2946 - [c7]David J. Eckman, Matthew Plumlee, Barry L. Nelson:
Revisiting Subset Selection. WSC 2020: 2972-2983
2010 – 2019
- 2019
- [c6]David J. Eckman, Shane G. Henderson, Raghu Pasupathy:
Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons. WSC 2019: 3457-3467 - 2018
- [j1]David J. Eckman, Shane G. Henderson:
Reusing Search Data in Ranking and Selection: What Could Possibly Go Wrong? ACM Trans. Model. Comput. Simul. 28(3): 18:1-18:15 (2018) - [c5]David J. Eckman, Shane G. Henderson:
Guarantees on the Probability of Good Selection. WSC 2018: 351-365 - [c4]David J. Eckman, Mingbin Ben Feng:
Green simulation Optimization using likelihood ratio estimators. WSC 2018: 2049-2060 - 2017
- [c3]Naijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias Poloczek:
Empirically comparing the finite-time performance of simulation-optimization algorithms. WSC 2017: 2206-2217 - 2016
- [c2]David J. Eckman, Shane G. Henderson:
Challenges in applying ranking and selection after search. WSC 2016: 3684-3685 - 2012
- [c1]Theologos Bountourelis, David J. Eckman, K. Louis Luangkesorn, Andrew J. Schaefer, Spencer G. Nabors, Gilles Clermont:
Sensitivity analysis of an ICU simulation model. WSC 2012: 83:1-83:12
Coauthor Index
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