David J. Eckman

According to our database, David J. Eckman authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Farming the Parameters of Simulation-Optimization Solvers.

Sara Shashaani, David J. Eckman, Susan M. Sanchez

ACM Trans. Model. Comput. Simul., October, 2024

Rate-Optimal Budget Allocation for the Probability of Good Selection.

Taeho Kim, David J. Eckman

Proceedings of the Winter Simulation Conference, 2024

Repeatedly Solving Similar Simulation-Optimization Problems: Insights from Data Farming.

Nicole Felice, Sara Shashaani, David J. Eckman, Susan M. Sanchez

Proceedings of the Winter Simulation Conference, 2024

2023

SimOpt: A Testbed for Simulation-Optimization Experiments.

David J. Eckman, Shane G. Henderson, Sara Shashaani

INFORMS J. Comput., 2023

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms.

David J. Eckman, Shane G. Henderson, Sara Shashaani

INFORMS J. Comput., 2023

Screening Simulated Systems for Optimization.

Jinbo Zhao, David J. Eckman, Javier Gatica

Proceedings of the Winter Simulation Conference, 2023

Stochastic Constraints: How Feasible Is Feasible?

David J. Eckman, Shane G. Henderson, Sara Shashaani

Proceedings of the Winter Simulation Conference, 2023

2022

Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces.

David J. Eckman, Matthew Plumlee, Barry L. Nelson

Oper. Res., November, 2022

Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures.

David J. Eckman, Shane G. Henderson

INFORMS J. Comput., 2022

Automatic Differentiation for Gradient Estimators in Simulation.

Matthew T. Ford, Shane G. Henderson, David J. Eckman

Proceedings of the Winter Simulation Conference, 2022

2021

Fixed-Confidence, Fixed-Tolerance Guarantees for Ranking-and-Selection Procedures.

David J. Eckman, Shane G. Henderson

ACM Trans. Model. Comput. Simul., 2021

Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions.

David J. Eckman, Matthew Plumlee, Barry L. Nelson

Proceedings of the Winter Simulation Conference, 2021

2020

Revisiting Subset Selection.

David J. Eckman, Matthew Plumlee, Barry L. Nelson

Proceedings of the Winter Simulation Conference, 2020

Biased Gradient Estimators in Simulation Optimization.

David J. Eckman, Shane G. Henderson

Proceedings of the Winter Simulation Conference, 2020

2019

Redesigning a Testbed of Simulation-Optimization Problems and Solvers for Experimental Comparisons.

David J. Eckman, Shane G. Henderson, Raghu Pasupathy

Proceedings of the 2019 Winter Simulation Conference, 2019

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

Guarantees on the Probability of Good Selection.

David J. Eckman, Shane G. Henderson

Proceedings of the 2018 Winter Simulation Conference, 2018

Green simulation Optimization using likelihood ratio estimators.

David J. Eckman, Mingbin Ben Feng

Proceedings of the 2018 Winter Simulation Conference, 2018

2017

Empirically comparing the finite-time performance of simulation-optimization algorithms.

Naijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias Poloczek

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Challenges in applying ranking and selection after search.

David J. Eckman, Shane G. Henderson

Proceedings of the Winter Simulation Conference, 2016

2012

Sensitivity analysis of an ICU simulation model.

Theologos Bountourelis, David J. Eckman, K. Louis Luangkesorn, Andrew J. Schaefer, Spencer G. Nabors, Gilles Clermont

Proceedings of the Winter Simulation Conference, 2012