• Corpus ID: 226227413

DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks

@inproceedings{Xu2021DebiNetDL,
  title={DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks},
  author={Shiyun Xu},
  booktitle={AISTATS},
  year={2021}
}
  • Shiyun Xu
  • Published in AISTATS 1 November 2020
  • Computer Science
Recent years have witnessed strong empirical performance of over-parameterized neural networks on various tasks and many advances in the theory, e.g. the universal approximation and provable convergence to global minimum. In this paper, we incorporate over-parameterized neural networks into semi-parametric models to bridge the gap between inference and prediction, especially in the high dimensional linear problem. By doing so, we can exploit a wide class of networks to approximate the nuisance… 
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