NIPS Proceedingsβ

Mitchell Stern

4 Papers

  • Blockwise Parallel Decoding for Deep Autoregressive Models (2018)
  • Stochastic Cubic Regularization for Fast Nonconvex Optimization (2018)
  • Kernel Feature Selection via Conditional Covariance Minimization (2017)
  • The Marginal Value of Adaptive Gradient Methods in Machine Learning (2017)