NIPS Proceedingsβ

Massimiliano Pontil

15 Papers

  • Consistent Multitask Learning with Nonlinear Output Relations (2017)
  • Mistake Bounds for Binary Matrix Completion (2016)
  • Spectral k-Support Norm Regularization (2014)
  • A New Convex Relaxation for Tensor Completion (2013)
  • Optimal kernel choice for large-scale two-sample tests (2012)
  • A Family of Penalty Functions for Structured Sparsity (2010)
  • Fast Prediction on a Tree (2008)
  • Online Prediction on Large Diameter Graphs (2008)
  • A Spectral Regularization Framework for Multi-Task Structure Learning (2007)
  • Multi-Task Feature Learning (2006)
  • Prediction on a Graph with a Perceptron (2006)
  • Combining Graph Laplacians for Semi--Supervised Learning (2005)
  • Kernels for Multi--task Learning (2004)
  • Categorization by Learning and Combining Object Parts (2001)
  • Feature Selection for SVMs (2000)