Jungtaek Kim's Invited Talks / Non-Peer Reviewed Presentations

  1. [Feburary 23, 2019] On local optimizers of acquisition functions in Bayesian optimization (The Second Korea-Japan Machine Learning Workshop / Jeju, South Korea)
  2. [December 13, 2018] Bayesian optimization and automated machine learning (Samsung Advanced Institute of Technology, Samsung Electronics / Suwon, South Korea)
  3. [June 12, 2018] Bayesian optimization and automated machine learning (Naver Corporation / Seongnam, South Korea)
  4. [June 06, 2018] Automated machine learning for soft voting in an ensemble of tree-based classifiers (PAKDD-2018 Data Competition / Melbourne, Austrailia)
  5. [January 08, 2018] Learning to warm-start Bayesian hyperparameter optimization (SigOpt Inc. / San Francisco, California, USA)
  6. [January 04, 2018] Clustering-guided GP-UCB for Bayesian optimization (SigOpt Inc. / San Francisco, California, USA)
  7. [December 15, 2017] Bayesian hyperparameter optimization for real-world problems (P-HIS workshop by Yonsei University Health System / Seoul, South Korea)
  8. [October 11, 2017] Bayesian optimization (Software R&D Center, DS Business, Samsung Electronics / Hwaseong, South Korea)
  9. [April 14, 2017] Anomaly detection (Manufacturing Technology Center, DS Business, Samsung Electronics / Hwaseong, South Korea)
  10. [October 05, 2016] Bayesian optimization (Department of Chemical Engineering, Yeongnam University / Gyeongsan, South Korea)
  11. [August 23, 2016] AutoML system using random space partitioning optimizer (The Fifteenth KYUTECH-POSTECH Joint Workshop on Neuroinformatics / Pohang, South Korea)
  12. [January 03, 2016] Automated machine learning (XBrain Inc. / Pohang, South Korea)