Publication Category: Generalization in Deep Learning

COPlanner: Plan to Roll Out Conservatively but to Explore Optimisti- cally for Model-Based RL

  • On January 23, 2024
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Project page: https://si0wang.github.io/projects/COPlanner/.

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Understanding the Generalization Benefit of Model Invariance from a Data Perspective

  • On October 13, 2021
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Summary of Contributions Data-perspective understanding.   We understand the generalization benefit of model invariance via characterizing the sample-dependent properties of data transformations. We introduce the notion of sample cover induced by data transformations and establish connections between the small sample covering number of data transformations and the small generalization bound of invariant models. Since this general […]

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