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The First Korea-Japan Machine Learning Symposium

Introduction

  Symposium Venue SK T-Tower Supex Hall, Euljiro 2(i)-ga, Jung-gu, Seoul (Google Maps)
  Dates June 2~3 (Thr-Fri), 2016
  Organization Machine Learning Center (link)
  Sponsors Machine Learning Special Interest Group (KIISE Artificial Intelligence Society), SK telecom
  General Chair

Prof. Seungjin Choi (POSTECH)

  Committee

Prof. Yung-Kyun Noh (SNU), Prof. Hyunjung Shin (Ajou Univ.), and Dr. Sangkeun Jung (SKT)

 

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Program Schedule (June, 2)

June 2, 09:40 ~ 10:00

Opening Remarks

June 2, 10:00 ~ 11:10

AI and Brain Science (Keynote speech) [Slides]

Prof. Shunichi Amari, RIKEN Brain Science Institute

June 2, 11:10 ~ 11:40

Coffee Break

June 2, 11:40 ~ 12:40

Bayesian Machine Learning: Two Examples from Our Recent Work[Slides]

Prof. Seungjin Choi, POSTECH

June 2, 12:40 ~ 14:30

Lunch Break (on your own)

June 2, 14:30 ~ 15:30

Machine Learning from Weak Supervision[Slides]

Prof. Masashi Sugiyama, The University of Tokyo

June 2, 15:30 ~ 16:30

The Relational Automatic Statistician System for Multiple Time-Series Data Analysis[Slides]

Prof. Jaesik Choi, UNIST

June 2, 16:30 ~ 17:00

Coffee Break

June 2, 17:00 ~ 18:00

Safe Feature/Sample Screening and its Applications to

High-order Interaction Modeling and Quick Sensitivity Analysis[Slides]

Prof. Ichiro Takeuchi, Nagoya Institute of Technology

 

Program Schedule (June, 3)

June 3, 09:00 ~ 10:00

Machine Learning for Materials Discovery: Virtual screening and Bayesian optimization (Canceled)

Prof. Koji Tsuda, The University of Tokyo

June 3, 10:00 ~ 11:00

A Bit More of Network based ML Algorithms for Intra-relation, Integration, and

Inter-relation of Multiple Data and Multiple Layers[Slides]

Prof. Hyunjung Shin, Ajou University

June 3, 11:00 ~ 11:40

Coffee Break

June 3, 11:40 ~ 12:40

Regularized Optimal Transport and Applications[Slides]

Prof. Marco Cuturi, Kyoto University

June 3, 12:40 ~ 14:30

Lunch Break (on your own)

June 3, 14:30 ~ 15:30

Deep Weakly Supervised Learning in Computer Vision[Slides]

Prof. Bohyung Han, POSTECH

June 3, 15:30 ~ 16:30

Statistical Performance and Computational Efficiency of

Parametric and Nonparametric Low Rank Tensor Estimators[Slides]

Prof. Taiji Suzuki, Tokyo Institute of Technology

June 3, 16:30 ~ 17:00

Coffee Break

June 3, 17:00 ~ 18:00

Bayesian Reinforcement Learning with Behavorial Feedback[Slides]

Prof. Kee-Eung Kim, KAIST

 
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Further information

  • On-site registration may be closed before May 30th.
  • For all inquiries, please contact Saehoon Kim (POSTECH ML Lab, +82-054-279-2924).