15-859(B) Course Project, a few more ideas
- Structured prediction: learning problems where the output
is not just a +/- prediction or one of k values, but rather an
object with more rich structure (a translation of a sentence,
a tree, an image, etc).
- Inverse reinforcement learning: Given observations of
people's behavior, can you find an objective function such
that their behavior is consistent with optimizing this
- Machine learning and auctions/pricing: What happens in
auctions when bidders learn to adapt behavior from one auction
to the next? Or on the other side, the use of learning by a
seller to set prices to maximize revenue.