NIPS Proceedingsβ

Lorenzo Rosasco

12 Papers

  • A Consistent Regularization Approach for Structured Prediction (2016)
  • Optimal Learning for Multi-pass Stochastic Gradient Methods (2016)
  • Learning with Incremental Iterative Regularization (2015)
  • Less is More: Nyström Computational Regularization (2015)
  • On the Sample Complexity of Subspace Learning (2013)
  • Learning Manifolds with K-Means and K-Flats (2012)
  • Learning Probability Measures with respect to Optimal Transport Metrics (2012)
  • Multiclass Learning with Simplex Coding (2012)
  • A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups (2010)
  • Spectral Regularization for Support Estimation (2010)
  • On Invariance in Hierarchical Models (2009)
  • Learning, Regularization and Ill-Posed Inverse Problems (2004)