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Unsupervised domain adaptation by learning using privileged information
The latter is often violated in high-dimensional applications such as image classification which, despite this challenge, continues to serve as inspiration and benchmark for algorithm development.
Multi-Label Image Classification
Unsupervised Domain Adaptation
Case-based off-policy policy evaluation using prototype learning
If the behavior policy is estimated using black-box models, it can be hard to diagnose potential problems and to determine for which inputs the policies differ in their suggested actions and resulting values.
