Michael Jong Kim

Michael Jong Kim

Meet Michael Jong Kim

BASc (Toronto), M.Math (Toronto), PhD (Toronto)
Assistant Professor, Operations and Logistics Division

Selected publications

  • Kim, M.J. (2019) "Variance Regularization in Sequential Bayesian Optimization". Mathematics of Operations Research, forthcoming.
  • Banjevic, D., Kim, M.J. (2019) "Thompson Sampling for Stochastic Control: The Continuous Parameter Case". IEEE Transactions on Automatic Control, forthcoming.
  • Gotoh, J., Kim, M.J., Lim, A.E.B. (2018) "Robust Empirical Optimization is almost the same as Mean Variance Optimization". Operations Research Letters, 46, 448-452.
  • Kim, M.J. (2017) "Thompson Sampling for Stochastic Control: The Finite Parameter Case". IEEE Transactions on Automatic Control, 62, 6415-6422.
  • Kim, M.J. (2016) "Robust Control of Partially Observable Failing Systems". Operations Research, 64, 999-1014.
  • Kim, M.J., Lim, A.E.B. (2016) "Robust Multi-Armed Bandit Problems". Management Science, 62, 264-285.

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