Schedule


Morning Session 7:30-10:30 am

7:30 am Welcome & Introduction
7:45 am


8:35 am
Invited Talk: Yoram Singer
Beyond Pair-wise Classification and Regression: Efficient Learning of Preferences by
Soft Projections onto Polyhedra
Discussion
8:45 am

9:10 am
Calibrated Label-Ranking
Klaus Brinker, Eyke Huellermeier
Discussion
9:15 am Coffee Break
9:30 am

9:55 am
Collaborative Ordinal Regression
Shipeng Yu, Kai Yu, Volker Tresp
Discussion
10:00 am

10:25 am
Generalization Bounds for k-Partite Ranking
Shyamsundar Rajaram, Shivani Agarwal
Discussion


Afternoon Session 3:30-6:30 pm

3:30 pm

4:10 pm
Invited Talk: Thorsten Joachims
Learning Rankings for Information Retrieval
Discussion
4:15 pm

4:40 pm
Exploiting Hyperlinks to Learn a Retrieval Model
David Grangier, Samy Bengio
Discussion
4:45 pm Coffee Break
5:00 pm

5:15 pm
Ranking as Learning Structured Outputs
Chris Burges
Discussion
5:20 pm

5:35 pm
Extensions of Gaussian Processes for Ranking: Semi-Supervised and Active Learning
Wei Chu, Zoubin Ghahramani
Discussion
5:40 pm

5:55 pm
Ranking with Unlabeled Data: A First Study
Nicolas Usunier, Vinh Truong, Massih Amini, Patrick Gallinari
Discussion
6:00 pm Concluding Discussion: Insights and Open Challenges