Researcher profile
Adam Tauman Kalai
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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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 …
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Identifying unpredictable test examples with worst-case guarantees
2020
Often times, whether it be for adversarial or natural reasons, the distributions of test and training data differ. We give an algorithm that, given sets of training and test examples, identifies regions of test examples …