NIPS Proceedingsβ

Simon S. Du

6 Papers

  • Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced (2018)
  • How Many Samples are Needed to Estimate a Convolutional Neural Network? (2018)
  • Gradient Descent Can Take Exponential Time to Escape Saddle Points (2017)
  • Hypothesis Transfer Learning via Transformation Functions (2017)
  • On the Power of Truncated SVD for General High-rank Matrix Estimation Problems (2017)
  • Efficient Nonparametric Smoothness Estimation (2016)