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Schedule


Mon 20 Tue 21 Wed 22 Thu 23 Fri 24
09:00 Workshops and Tutorials 09:00 Announcements 09:00 Announcements 09:00 Announcements 09:00 Workshops, Tutorials and Industrial Track
09:20 Invited Talk
Tomaso Poggio 		09:20 Invited Talk
Jiawei Han 		09:20 Invited Talk
Leslie Pack Kaelbling
10:20 10:20 10:20
10:30 Coffee break Coffee break Coffee break 10:30
Coffee break Coffee break
10:50 Bayes Learning 1

Rules and Patterns 1

Ensemble Learning 		10:50 Sparse Learning

Social Networks

Bayesian Learning 2 		10:50 Reinforcement Learning 2

Rankings and Partial Orders

Spectral Analysis and Graph Clustering
11:00 Workshops and Tutorials 11:00 Workshops, Tutorials and Industrial Track
12:30 Lunch (on your own) 12:40 12:40 12:40 12:30 Invited Talk
Christos Faloutsos
Lunch (on your own) Lunch (on your own) Lunch (on your own) 13:30
Lunch (on your own)
14:00 Workshops and Tutorials
14:20 Kernel Methods

Web Mining and Collaborative Tagging

Topic Models and Dimensionality Reduction 		14:20 Relational Learning

Graph Mining

Active and Adversarial Learning 		14:20 Online Learning

Rules and Patterns 2

Learning and Mining in Dynamic Domains
14:40 Workshops, Tutorials and Industrial Track
15:30
Coffee break
16:00 Workshops, Tutorials 16:10 16:10 16:10 16:10
Coffee break Coffee break Coffee break Coffee break
16:40 Reinforcement Learning 1

Multi-task, Multi-domain and Large-scale Learning

Link Prediction and Graph Classification 		16:40 MDL, Outliers, and Anomalies

Trajectory Mining and Process Mining

Semi-supervised Learning 		16:40 Workshops, Tutorials and Industrial Track
17:30
17:30
18:00 Invited Talk
Hod Lipson 		18:10
18:30 18:30
19:00
19:00 Invited Talk
Jurgen Schmidhuber
19:20
20:00 19:45




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