JUNGTAEK KIM

Postdoctoral Research Associate
at the University of Wisconsin–Madison

jungtaek.kim [at] wisc [dot] edu

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Invited Talks / Non-Peer Reviewed Presentations / Tutorials

  1. [September 5, 2023] Bayesian optimization for nanophotonic structure designs / MOGAM Institute for Biomedical Research, Seoul, South Korea
  2. [August 24, 2023] Combinatorial 3D shape assembly with sequential decision-making processes / Sequential Decision Making for Optimization, Learning and Search, The Tenth International Congress on Industrial and Applied Mathematics, Waseda University, Tokyo, Japan
  3. [July 12, 2023] Combinatorial 3D shape assembly with LEGO bricks / BIRS Workshop on 3D Generative Models, Banff International Research Station, Banff, Alberta, Canada
  4. [May 5, 2023] Density ratio estimation-based Bayesian optimization with semi-supervised learning / Computer Science and Engineering Department Seminar, Washington University in St. Louis, St. Louis, Missouri, USA
  5. [April 17, 2023] Global optimization of black-box functions by Bayesian learning and continuous variable discretization / MDS-Rely Spring 2023 Meeting, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
  6. [September 15, 2022] Combinatorial Bayesian optimization and its applications / Technical Seminar, MDS-Rely, Virtual
  7. [August 8, 2022] Combinatorial construction with geometric primitives via sequential assembly / The Eighth Annual Data Science in Engineering and Life Sciences Symposium, Case Western Reserve University, Cleveland, Ohio, USA
  8. [April 14, 2022] Combinatorial construction via sequential assembly / Graph Representation Learning Reading Group, Mila, Virtual
  9. [June 18, 2021] Bayesian optimization and its applications / Korea Institute of Robotics & Technology Convergence, Pohang, South Korea
  10. [April 22, 2021] Bayesian optimization and its applications / LIM Lab., Ulsan National Institute of Science and Technology, Ulsan, South Korea
  11. [February 16, 2021] Brick-by-Brick: Sequential 3D object construction with deep reinforcement learning / Vector Institute Research Symposium, Virtual
  12. [December 23, 2020] Tutorial on Bayesian optimization / Korea Software Congress 2020, Virtual
  13. [August 26, 2019] Bayesian optimization over sets / COnfiguration and SElection of ALgorithms Workshop 2019, Hasso-Plattner-Institut, University of Potsdam, Potsdam, Germany
  14. [July 26, 2019] On local optimizers of acquisition functions in Bayesian optimization / AI Korea 2019, Seoul, South Korea
  15. [June 28, 2019] Bayesian optimization and its applications / Semiconductor Research Center, Samsung Electronics, Hwaseong, South Korea
  16. [Feburary 23, 2019] On local optimizers of acquisition functions in Bayesian optimization / The Second Korea-Japan Machine Learning Workshop, Jeju, South Korea
  17. [December 13, 2018] Bayesian optimization and automated machine learning / Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, South Korea
  18. [June 12, 2018] Bayesian optimization and automated machine learning / Naver Corporation, Seongnam, South Korea
  19. [June 06, 2018] Automated machine learning for soft voting in an ensemble of tree-based classifiers / Data Competition, The Twenty-Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Austrailia
  20. [January 08, 2018] Learning to warm-start Bayesian hyperparameter optimization / SigOpt Inc., San Francisco, California, USA
  21. [January 04, 2018] Clustering-guided GP-UCB for Bayesian optimization / SigOpt Inc., San Francisco, California, USA
  22. [December 15, 2017] Bayesian hyperparameter optimization for real-world problems / P-HIS Workshop by Yonsei University Health System, Seoul, South Korea
  23. [October 11, 2017] Bayesian optimization / Software R&D Center, DS Business, Samsung Electronics, Hwaseong, South Korea
  24. [April 14, 2017] Anomaly detection / Manufacturing Technology Center, DS Business, Samsung Electronics, Hwaseong, South Korea
  25. [October 05, 2016] Bayesian optimization / Department of Chemical Engineering, Yeongnam University, Gyeongsan, South Korea
  26. [August 23, 2016] AutoML system using random space partitioning optimizer / The Fifteenth KYUTECH-POSTECH Joint Workshop on Neuroinformatics, POSTECH, Pohang, South Korea
  27. [January 03, 2016] Automated machine learning / XBrain Inc., Pohang, South Korea

Last updated: November 18, 2024