JUNGTAEK KIM

Ph.D. Student
of Computer Science and Engineering

jtkim [at] postech [dot] ac [dot] kr

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Invited Talks / Non-Peer Reviewed Presentations / Tutorials

  1. [June 17, 2021] Bayesian optimization and its applications (Korea Institute of Robotics & Technology Convergence / Pohang, South Korea)
  2. [April 22, 2021] Bayesian optimization and its applications (LIM Lab., Ulsan National Institute of Science and Technology / Ulsan, South Korea)
  3. [February 16, 2021] Brick-by-Brick: Sequential 3D Object Construction with Deep Reinforcement Learning (Vector Institute Research Symposium / Virtual)
  4. [December 23, 2020] Tutorial on Bayesian optimization (Korea Software Congress 2020 / Virtual)
  5. [August 26, 2019] Bayesian optimization over sets (COnfiguration and SElection of ALgorithms Workshop 2019 / Potsdam, Germany)
  6. [July 26, 2019] On local optimizers of acquisition functions in Bayesian optimization (AI Korea 2019 / Seoul, South Korea)
  7. [June 28, 2019] Bayesian optimization and its applications (Semiconductor Research Center, Samsung Electronics / Hwaseong, South Korea)
  8. [Feburary 23, 2019] On local optimizers of acquisition functions in Bayesian optimization (The Second Korea-Japan Machine Learning Workshop / Jeju, South Korea)
  9. [December 13, 2018] Bayesian optimization and automated machine learning (Samsung Advanced Institute of Technology, Samsung Electronics / Suwon, South Korea)
  10. [June 12, 2018] Bayesian optimization and automated machine learning (Naver Corporation / Seongnam, South Korea)
  11. [June 06, 2018] Automated machine learning for soft voting in an ensemble of tree-based classifiers (PAKDD-2018 Data Competition / Melbourne, Austrailia)
  12. [January 08, 2018] Learning to warm-start Bayesian hyperparameter optimization (SigOpt Inc. / San Francisco, California, USA)
  13. [January 04, 2018] Clustering-guided GP-UCB for Bayesian optimization (SigOpt Inc. / San Francisco, California, USA)
  14. [December 15, 2017] Bayesian hyperparameter optimization for real-world problems (P-HIS Workshop by Yonsei University Health System / Seoul, South Korea)
  15. [October 11, 2017] Bayesian optimization (Software R&D Center, DS Business, Samsung Electronics / Hwaseong, South Korea)
  16. [April 14, 2017] Anomaly detection (Manufacturing Technology Center, DS Business, Samsung Electronics / Hwaseong, South Korea)
  17. [October 05, 2016] Bayesian optimization (Department of Chemical Engineering, Yeongnam University / Gyeongsan, South Korea)
  18. [August 23, 2016] AutoML system using random space partitioning optimizer (The Fifteenth KYUTECH-POSTECH Joint Workshop on Neuroinformatics / Pohang, South Korea)
  19. [January 03, 2016] Automated machine learning (XBrain Inc. / Pohang, South Korea)

Last updated: July 13, 2021