Teacher improves learning by selecting a training subset
Copyright 2018 by the author(s). We call a learner super-teachable if a teacher can trim down an iid training set while making the learner learn even better. We provide sharp super-teaching guarantees on two learners: the maximum likelihood estimator for the mean of a Gaussian, and the large margin...
Main Authors: | , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
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Online Access: | https://hdl.handle.net/1721.1/137038 |