Workshop on Empirical Hypothesis Spaces

Thanks to Kristiaan Pelckmans for posting about the upcoming Workshop on Empirical Hypothesis Spaces at NIPS 2008:

This workshop asks for insights how far we may/can push the theoretical boundary of using data in the design of learning machines. Can we express our classification rule in terms of the sample, or do we have to stick to a core assumption of classical statistical learning theory, namely that the hypothesis space is to be defined independent from the sample?

The workshop chairs are an impressive crew: Maria-Florina Balcan, Shai Ben-David, Avrim Blum, Kristiaan Pelckmans, and John Shawe-Taylor.