NIPS Proceedingsβ

Alessandro Rudi

11 Papers

  • Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance (2018)
  • Learning with SGD and Random Features (2018)
  • Manifold Structured Prediction (2018)
  • On Fast Leverage Score Sampling and Optimal Learning (2018)
  • Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes (2018)
  • Consistent Multitask Learning with Nonlinear Output Relations (2017)
  • FALKON: An Optimal Large Scale Kernel Method (2017)
  • Generalization Properties of Learning with Random Features (2017)
  • A Consistent Regularization Approach for Structured Prediction (2016)
  • Less is More: Nyström Computational Regularization (2015)
  • On the Sample Complexity of Subspace Learning (2013)