프로그램 (추후 변경 가능)

13:00~13:40  Inference with Normalized Random Measures (최승진 교수, POSTECH)

13:40~14:20  Metric Learning for Nadaraya-Watson Kernel Regression (노영균 교수, SNU)

14:20~14:40  Break

14:40~15:20  Belief Propagation for Large-scale Optimization (신진우 교수, KAIST)

15:20~16:00  Bayesian Reinforcement Learning (김기응 교수, KAIST)

16:00~16:20  Break

16:20~17:00  The Automatic Statistician: A Relational Perspective (최재식 교수, UNIST)

17:00~17:40  Trends in Deep Recurrent Neural Networks (윤성로 교수, SNU)