Ph.D. Student
of Computer Science and Engineering

ADDRESS Machine Learning Group,
Department of Computer Science and Engineering,
Pohang University of Science and Technology (POSTECH),
77 Cheongam-ro, Nam-gu, Pohang-si 37673,
Gyeongsangbuk-do, Republic of Korea
EMAIL jtkim@postech.ac.kr; jtkim@postech.edu
PHONE +82-54-279-2924
FAX +82-54-279-2299
HOMEPAGE http://mlg.postech.ac.kr/~jtkim

Curriculum Vitae

  1. Curriculum Vitae (June, 2018)


  1. Automated Machine Learning for Soft Voting in an Ensemble of Tree-based Classifiers (ICML/IJCAI-ECAI AutoML-2018)
  2. Open Set Recognition by Regularizing Classifier with Fake Data Generated by Generative Adversarial Networks (ICASSP-2018)
  3. Clustering-Guided GP-UCB for Bayesian Optimization (ICASSP-2018)
  4. On the Optimal Bit Complexity of Circulant Binary Embedding (AAAI-2018)
  5. Learning to Transfer Initializations for Bayesian Hyperparameter Optimization (NIPS BayesOpt-2017)
  6. AutoML Challenge: AutoML Framework Using Random Space Partitioning Optimizer (ICML AutoML-2016)

Research Topics

  1. Bayesian Optimization and Automated Machine Learning (June 12, 2018)


  1. AutoML at ICML 2018 (SigOpt Blog, July 13, 2018)
  2. Clustering Applied to Acquisition Functions (SigOpt Blog, April 17, 2018)
  3. Circulant Binary Embeddings (SigOpt Blog, February 6, 2018)



Last updated: July 04, 2018