Day Session1 8:30-10:30 Session 2 11:00-13:00 Session 3 14:00-16:00 Session 4
Sunday 15 Jun: Registration in whole day
Monday 16 Jun: Registration (8:30-10:30), Opening (10:45-11:00) Tom Dietterich
(Introduction to Machine Learning [slide])
Masashi Sugiyama
(Unsupervised Change Detection [slide])
Q/A (16:30-17:30)
Tuesday 17 Jun: Xiaojin (Jerry) Zhu
(Graphical Models and Kernel Machines [slide])
Mark Johnson
(Natural Language Processing [slide])
Qiang Yang
(Transfer Learning Theory and Applications [slide])
Q/A (16:30-17:30)
Wednesday 18 Jun: Yi Ma and David Wipf
(Sparse Representation and its Applications in Computer Vision [slide])
Zhuowen Tu
(Weakly-supervised Learning for Structured Representation [slide])
Kai Yu
(Shaping up the Internet with Deep Learning [slide])
Q/A (16:30-17:30)

Poster Session
followed by banquet

Thursday 19 Jun: Pedro Domingos
(Learning Tractable Probabilistic Models [slide])
Jure Leskovec
(Networks [slide])
Shai Ben-David
(Foundations of Clustering Theory [slide])
Q/A (16:30-17:30)
Friday 20 Jun: Yoshua Bengio
(Representation Learning and Deep Nets [slide])
Ruslan Salakhutdinov
(Deep Learning [slide])
Raquel Urtasun
(Structured Prediction for Scene Understanding [slide])
Q/A and Closing

Note: 30 minutes’ coffee breaks will be held between Sessions 1 and 2, and Sessions 3 and 4. A one hour break will be held between Session 2 and Session 3.