Eunhye Song

According to our database, Eunhye Song authored at least 31 papers between 2006 and 2024.

Collaborative distances:

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

2024

Projected Gaussian Markov Improvement Algorithm for High-Dimensional Discrete Optimization via Simulation.

Xinru Li, Eunhye Song

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

Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data.

Linyun He, Uday V. Shanbhag, Eunhye Song

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

Introduction to the Special Issue for INFORMS Simulation Society (I-Sim) Workshop, 2021.

Russell R. Barton, Marvin K. Nakayama, Uday V. Shanbhag, Eunhye Song

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

A Shrinkage Approach to Improve Direct Bootstrap Resampling Under Input Uncertainty.

Eunhye Song, Henry Lam, Russell R. Barton

INFORMS J. Comput., 2024

2023

Using Cache or Credit for Parallel Ranking and Selection.

Harun Avci, Barry L. Nelson, Eunhye Song, Andreas Wächter

ACM Trans. Model. Comput. Simul., October, 2023

Efficient Input Uncertainty Quantification for Regenerative Simulation.

Linyun He, Eunhye Song, Ben M. Feng

Proceedings of the Winter Simulation Conference, 2023

2022

Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search.

Michael Hoffman, Eunhye Song, Michael P. Brundage, Soundar Kumara

IEEE Trans Autom. Sci. Eng., 2022

Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning.

Michael Hoffman, Eunhye Song, Michael Brundage, Soundar Kumara

J. Comput. Inf. Sci. Eng., 2022

Selection of the Most Probable Best.

Taeho Kim, Kyoung-Kuk Kim, Eunhye Song

CoRR, 2022

Object-Oriented Implementation and Parallelization of the Rapid Gaussian Markov Improvement Algorithm.

Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter

Proceedings of the Winter Simulation Conference, 2022

Optimizing Input Data Acquisition for Ranking and Selection: A View Through the Most Probable Best.

Taeho Kim, Eunhye Song

Proceedings of the Winter Simulation Conference, 2022

2021

Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields.

Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter

INFORMS J. Comput., 2021

Selection of the Most Probable Best Under Input Uncertainty.

Kyoung-Kuk Kim, Taeho Kim, Eunhye Song

Proceedings of the Winter Simulation Conference, 2021

Nonparametric Kullback-Liebler Divergence Estimation Using M-Spacing.

Linyun He, Eunhye Song

Proceedings of the Winter Simulation Conference, 2021

2020

Uncertainty Quantification in Vehicle Content Optimization for General Motors.

Eunhye Song, Peiling Wu-Smith, Barry L. Nelson

INFORMS J. Appl. Anal., 2020

Smart Linear Algebraic Operations for Efficient Gaussian Markov Improvement Algorithm.

Xinru Li, Eunhye Song

Proceedings of the Winter Simulation Conference, 2020

2019

Input-Output Uncertainty Comparisons for Discrete Optimization via Simulation.

Eunhye Song, Barry L. Nelson

Oper. Res., 2019

Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms.

Peter L. Salemi, Eunhye Song, Barry L. Nelson, Jeremy Staum

Oper. Res., 2019

Stochastic Approximation for simulation Optimization under Input Uncertainty with Streaming Data.

Eunhye Song, Uday V. Shanbhag

Proceedings of the 2019 Winter Simulation Conference, 2019

Efficient Input Uncertainty Quantification Via Green Simulation Using Sample Path Likelihood Ratios.

Ben M. Feng, Eunhye Song

Proceedings of the 2019 Winter Simulation Conference, 2019

2018

Generalized method of moments Approach to Hyperparameter estimation for Gaussian Markov Random Fields.

Eunhye Song, Yi Dong

Proceedings of the 2018 Winter Simulation Conference, 2018

Revisiting Direct bootstrap resampling for input Model uncertainty.

Russell R. Barton, Henry Lam, Eunhye Song

Proceedings of the 2018 Winter Simulation Conference, 2018

2017

Computational methods for optimization via simulation using Gaussian Markov Random Fields.

Mark Semelhago, Barry L. Nelson, Andreas Wächter, Eunhye Song

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Shapley Effects for Global Sensitivity Analysis: Theory and Computation.

Eunhye Song, Barry L. Nelson, Jeremy Staum

SIAM/ASA J. Uncertain. Quantification, 2016

Input-output uncertainty comparisons for optimization via simulation.

Eunhye Song

Proceedings of the Winter Simulation Conference, 2016

2015

Single-experiment input uncertainty.

Y. Lin, Eunhye Song, Barry L. Nelson

J. Simulation, 2015

Input uncertainty and indifference-zone ranking & selection.

Eunhye Song, Barry L. Nelson, L. Jeff Hong

Proceedings of the 2015 Winter Simulation Conference, 2015

2014

Input uncertainty quantification: advanced tutorial.

Eunhye Song, Barry L. Nelson, Claude Dennis Pegden

Proceedings of the 2014 Winter Simulation Conference, 2014

2013

A quicker assessment of input uncertainty.

Eunhye Song, Barry L. Nelson

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012

Event graph modeling of a homogeneous job shop with bi-inline cells.

Eunhye Song, Byoung Kyu Choi, Bum-Chul Park

Simul. Model. Pract. Theory, 2012

2006

Ontology Based Software Reconfiguration in a Ubiquitous Computing Environment.

Yoonhee Kim, Eun-Kyung Kim, Jeuyoung Kim, Eunhye Song, In-Young Ko

Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006