NIPS Proceedingsβ

Colin Wei

4 Papers

  • Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation (2019)
  • Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss (2019)
  • Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel (2019)
  • Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks (2019)