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Michael Jong Kim

Orcid: 0000-0002-1858-4142

Affiliations:
  • University of British Columbia, Sauder School of Business, Vancouver, BC, Canada
  • University of Toronto, Department of Mechanical and Industrial Engineering, ON, Canada (PhD 2012)


According to our database1, Michael Jong Kim authored at least 19 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Thompson Sampling for Parameterized Markov Decision Processes with Uninformative Actions.
[BibTeX]
[DOI]
Michael Gimelfarb
,
Michael Jong Kim
CoRR, 2023

2022
Learning Manipulation Through Information Dissemination.
[BibTeX]
[DOI]
Jussi Keppo
,
Michael Jong Kim
,
Xinyuan Zhang
Oper. Res., November, 2022

2021
Optimal Control of Partially Observable Semi-Markovian Failing Systems: An Analysis Using a Phase Methodology.
[BibTeX]
[DOI]
Akram Khaleghei
,
Michael Jong Kim
Oper. Res., 2021

Calibration of Distributionally Robust Empirical Optimization Models.
[BibTeX]
[DOI]
Jun-ya Gotoh
,
Michael Jong Kim
,
Andrew E. B. Lim
Oper. Res., 2021

A data-driven approach to beating SAA out-of-sample.
[BibTeX]
[DOI]
Jun-ya Gotoh
,
Michael Jong Kim
,
Andrew E. B. Lim
CoRR, 2021

2020
Variance Regularization in Sequential Bayesian Optimization.
[BibTeX]
[DOI]
Michael Jong Kim
Math. Oper. Res., 2020

Worst-case sensitivity.
[BibTeX]
[DOI]
Jun-ya Gotoh
,
Michael Jong Kim
,
Andrew E. B. Lim
CoRR, 2020

2019
Thompson Sampling for Stochastic Control: The Continuous Parameter Case.
[BibTeX]
[DOI]
Dragan Banjevic
,
Michael Jong Kim
IEEE Trans. Autom. Control., 2019

2018
Robust empirical optimization is almost the same as mean-variance optimization.
[BibTeX]
[DOI]
Jun-ya Gotoh
,
Michael Jong Kim
,
Andrew E. B. Lim
Oper. Res. Lett., 2018

2017
Thompson Sampling for Stochastic Control: The Finite Parameter Case.
[BibTeX]
[DOI]
Michael Jong Kim
IEEE Trans. Autom. Control., 2017

2016
Robust Multiarmed Bandit Problems.
[BibTeX]
[DOI]
Michael Jong Kim
,
Andrew E. B. Lim
Manag. Sci., 2016

Robust Control of Partially Observable Failing Systems.
[BibTeX]
[DOI]
Michael Jong Kim
Oper. Res., 2016

2013
Availability maximization under partial observations.
[BibTeX]
[DOI]
Rui Jiang
,
Michael Jong Kim
,
Viliam Makis
OR Spectr., 2013

Joint Optimization of Sampling and Control of Partially Observable Failing Systems.
[BibTeX]
[DOI]
Michael Jong Kim
,
Viliam Makis
Oper. Res., 2013

2012
Maximum Likelihood Estimation for a Hidden Semi-Markov Model with Multivariate Observations.
[BibTeX]
[DOI]
Rui Jiang
,
Michael Jong Kim
,
Viliam Makis
Qual. Reliab. Eng. Int., 2012

A Bayesian model and numerical algorithm for CBM availability maximization.
[BibTeX]
[DOI]
Rui Jiang
,
Michael Jong Kim
,
Viliam Makis
Ann. Oper. Res., 2012

2011
Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure.
[BibTeX]
[DOI]
Michael Jong Kim
,
Rui Jiang
,
Viliam Makis
,
Chi-Guhn Lee
Eur. J. Oper. Res., 2011

2010
Residual life prediction for systems subject to condition monitoring.
[BibTeX]
[DOI]
Rui Jiang
,
Michael Jong Kim
,
Viliam Makis
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

2009
Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair.
[BibTeX]
[DOI]
Michael Jong Kim
,
Viliam Makis
Comput. Ind. Eng., 2009


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