NIPS Proceedingsβ

Zhao Song

10 Papers

  • Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss (2019)
  • Efficient Symmetric Norm Regression via Linear Sketching (2019)
  • On the Convergence Rate of Training Recurrent Neural Networks (2019)
  • Optimal Sketching for Kronecker Product Regression and Low Rank Approximation (2019)
  • Provable Non-linear Inductive Matrix Completion (2019)
  • Total Least Squares Regression in Input Sparsity Time (2019)
  • Towards a Zero-One Law for Column Subset Selection (2019)
  • Scalable Model Selection for Belief Networks (2017)
  • Linear Feature Encoding for Reinforcement Learning (2016)
  • Sublinear Time Orthogonal Tensor Decomposition (2016)