Tutorials

1. Langford, Structured prediction.

1. 2 learning modules in interaction (one explores, one classifies): misleading effects (exploration results are bad on average, therefore no need to explore, we were right the first time)
2. test: must be reconsidered. (consider the tails of distribution and coverage)

Top Papers

1. Strongly Adaptive Online Learning Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
   1. Online and adaptive weights on experts + intervals + doubling trick
2. Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin, Victor Lempitsky
   1. two objectives on features: being discriminative wrt class; not discriminant wrt source/target
3. Learning Transferable Features with Deep Adaptation Networks Mingsheng Long, Yue Cao, Jianmin Wang, Michael Jordan
   1. related to the previous + kernels.

OK Papers

1. Adaptive Belief Propagation Georgios Papachristoudis, John Fisher
   1. Question for me: why not considering several spanning trees...