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Eunhye Song
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- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
- [j14]Eunhye Song, Henry Lam, Russell R. Barton:
A Shrinkage Approach to Improve Direct Bootstrap Resampling Under Input Uncertainty. INFORMS J. Comput. 36(4): 1023-1039 (2024) - [j13]Russell R. Barton, Marvin K. Nakayama, Uday V. Shanbhag, Eunhye Song:
Introduction to the Special Issue for INFORMS Simulation Society (I-Sim) Workshop, 2021. ACM Trans. Model. Comput. Simul. 34(2): 5:1-5:3 (2024) - [j12]Linyun He, Uday V. Shanbhag, Eunhye Song:
Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data. ACM Trans. Model. Comput. Simul. 34(2): 6:1-6:27 (2024) - [j11]Xinru Li, Eunhye Song:
Projected Gaussian Markov Improvement Algorithm for High-Dimensional Discrete Optimization via Simulation. ACM Trans. Model. Comput. Simul. 34(3): 14:1-14:29 (2024) - 2023
- [j10]Harun Avci, Barry L. Nelson, Eunhye Song, Andreas Wächter:
Using Cache or Credit for Parallel Ranking and Selection. ACM Trans. Model. Comput. Simul. 33(4): 12:1-12:28 (2023) - [c16]Linyun He, Eunhye Song, Ben M. Feng:
Efficient Input Uncertainty Quantification for Regenerative Simulation. WSC 2023: 385-396 - 2022
- [j9]Michael Hoffman, Eunhye Song, Michael Brundage, Soundar Kumara:
Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning. J. Comput. Inf. Sci. Eng. 22(4) (2022) - [j8]Michael Hoffman, Eunhye Song, Michael P. Brundage, Soundar Kumara:
Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search. IEEE Trans Autom. Sci. Eng. 19(3): 2540-2551 (2022) - [c15]Taeho Kim, Eunhye Song:
Optimizing Input Data Acquisition for Ranking and Selection: A View Through the Most Probable Best. WSC 2022: 2258-2269 - [c14]Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter:
Object-Oriented Implementation and Parallelization of the Rapid Gaussian Markov Improvement Algorithm. WSC 2022: 3158-3169 - [i1]Taeho Kim, Kyoung-Kuk Kim, Eunhye Song:
Selection of the Most Probable Best. CoRR abs/2207.07533 (2022) - 2021
- [j7]Mark Semelhago, Barry L. Nelson, Eunhye Song, Andreas Wächter:
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields. INFORMS J. Comput. 33(3): 915-930 (2021) - [c13]Linyun He, Eunhye Song:
Nonparametric Kullback-Liebler Divergence Estimation Using M-Spacing. WSC 2021: 1-12 - [c12]Kyoung-Kuk Kim, Taeho Kim, Eunhye Song:
Selection of the Most Probable Best Under Input Uncertainty. WSC 2021: 1-12 - 2020
- [j6]Eunhye Song, Peiling Wu-Smith, Barry L. Nelson:
Uncertainty Quantification in Vehicle Content Optimization for General Motors. INFORMS J. Appl. Anal. 50(4): 225-238 (2020) - [c11]Xinru Li, Eunhye Song:
Smart Linear Algebraic Operations for Efficient Gaussian Markov Improvement Algorithm. WSC 2020: 2887-2898
2010 – 2019
- 2019
- [j5]Peter L. Salemi, Eunhye Song, Barry L. Nelson, Jeremy Staum:
Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms. Oper. Res. 67(1): 250-266 (2019) - [j4]Eunhye Song, Barry L. Nelson:
Input-Output Uncertainty Comparisons for Discrete Optimization via Simulation. Oper. Res. 67(2): 562-576 (2019) - [c10]Eunhye Song, Uday V. Shanbhag:
Stochastic Approximation for simulation Optimization under Input Uncertainty with Streaming Data. WSC 2019: 3597-3608 - [c9]Ben M. Feng, Eunhye Song:
Efficient Input Uncertainty Quantification Via Green Simulation Using Sample Path Likelihood Ratios. WSC 2019: 3693-3704 - 2018
- [c8]Russell R. Barton, Henry Lam, Eunhye Song:
Revisiting Direct bootstrap resampling for input Model uncertainty. WSC 2018: 1635-1645 - [c7]Eunhye Song, Yi Dong:
Generalized method of moments Approach to Hyperparameter estimation for Gaussian Markov Random Fields. WSC 2018: 1790-1801 - 2017
- [c6]Mark Semelhago, Barry L. Nelson, Andreas Wächter, Eunhye Song:
Computational methods for optimization via simulation using Gaussian Markov Random Fields. WSC 2017: 2080-2091 - 2016
- [j3]Eunhye Song, Barry L. Nelson, Jeremy Staum:
Shapley Effects for Global Sensitivity Analysis: Theory and Computation. SIAM/ASA J. Uncertain. Quantification 4(1): 1060-1083 (2016) - [c5]Eunhye Song:
Input-output uncertainty comparisons for optimization via simulation. WSC 2016: 3666-3667 - 2015
- [j2]Y. Lin, Eunhye Song, Barry L. Nelson:
Single-experiment input uncertainty. J. Simulation 9(3): 249-259 (2015) - [c4]Eunhye Song, Barry L. Nelson, L. Jeff Hong:
Input uncertainty and indifference-zone ranking & selection. WSC 2015: 414-424 - 2014
- [c3]Eunhye Song, Barry L. Nelson, Claude Dennis Pegden:
Input uncertainty quantification: advanced tutorial. WSC 2014: 162-176 - 2013
- [c2]Eunhye Song, Barry L. Nelson:
A quicker assessment of input uncertainty. WSC 2013: 474-485 - 2012
- [j1]Eunhye Song, Byoung Kyu Choi, Bum-Chul Park:
Event graph modeling of a homogeneous job shop with bi-inline cells. Simul. Model. Pract. Theory 20(1): 1-11 (2012)
2000 – 2009
- 2006
- [c1]Yoonhee Kim, Eun-Kyung Kim, Jeuyoung Kim, Eunhye Song, In-Young Ko:
Ontology Based Software Reconfiguration in a Ubiquitous Computing Environment. CIT 2006: 260
Coauthor Index
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