Michael Jong Kim

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uncertain Search with Knowledge Transfer.
Manag. Sci.
Woonghee Tim Huh, Michael Jong Kim, Meichun Lin
2025 J jnl
Distributionally Robust Optimization is a Multi-Objective Problem.
CoRR
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2025 J jnl
Technical Note - A Data-Driven Approach to Beating SAA Out of Sample.
Oper. Res.
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2023 J jnl
Bayesian Inventory Control: Accelerated Demand Learning via Exploration Boosts.
Oper. Res.
Ya-Tang Chuang, Michael Jong Kim
2023 J jnl
Thompson Sampling for Parameterized Markov Decision Processes with Uninformative Actions.
CoRR
Michael Gimelfarb, Michael Jong Kim
2022 J jnl
Learning Manipulation Through Information Dissemination.
Oper. Res.
Jussi Keppo, Michael Jong Kim, Xinyuan Zhang
2021 J jnl
A data-driven approach to beating SAA out-of-sample.
CoRR
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2021 J jnl
Calibration of Distributionally Robust Empirical Optimization Models.
Oper. Res.
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2021 J jnl
Optimal Control of Partially Observable Semi-Markovian Failing Systems: An Analysis Using a Phase Methodology.
Oper. Res.
Akram Khaleghei, Michael Jong Kim
2020 J jnl
Variance Regularization in Sequential Bayesian Optimization.
Math. Oper. Res.
Michael Jong Kim
2020 J jnl
Worst-case sensitivity.
CoRR
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2019 J jnl
Thompson Sampling for Stochastic Control: The Continuous Parameter Case.
IEEE Trans. Autom. Control.
Dragan Banjevic, Michael Jong Kim
2018 J jnl
Robust empirical optimization is almost the same as mean-variance optimization.
Oper. Res. Lett.
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2017 J jnl
Calibration of Distributionally Robust Empirical Optimization Models.
CoRR
Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim
2017 J jnl
Thompson Sampling for Stochastic Control: The Finite Parameter Case.
IEEE Trans. Autom. Control.
Michael Jong Kim
2016 J jnl
Robust Control of Partially Observable Failing Systems.
Oper. Res.
Michael Jong Kim
2016 J jnl
Robust Multiarmed Bandit Problems.
Manag. Sci.
Michael Jong Kim, Andrew E. B. Lim
2013 J jnl
Availability maximization under partial observations.
OR Spectr.
Rui Jiang, Michael Jong Kim, Viliam Makis
2013 J jnl
Joint Optimization of Sampling and Control of Partially Observable Failing Systems.
Oper. Res.
Michael Jong Kim, Viliam Makis
2012 J jnl
A Bayesian model and numerical algorithm for CBM availability maximization.
Ann. Oper. Res.
Rui Jiang, Michael Jong Kim, Viliam Makis
2012 J jnl
Maximum Likelihood Estimation for a Hidden Semi-Markov Model with Multivariate Observations.
Qual. Reliab. Eng. Int.
Rui Jiang, Michael Jong Kim, Viliam Makis
2011 J jnl
Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure.
Eur. J. Oper. Res.
Michael Jong Kim, Rui Jiang, Viliam Makis, Chi-Guhn Lee
2010 — conf
Residual life prediction for systems subject to condition monitoring.
CASE
Rui Jiang, Michael Jong Kim, Viliam Makis
2009 J jnl
Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair.
Comput. Ind. Eng.
Michael Jong Kim, Viliam Makis