Vikas Garg

Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

2020 · arXiv (Cornell University)

Domain generalization is the problem of machine learning when the training data and the test data come from different data domains. We present a simple theoretical model of learning to generalize across domains in which …