More from the Same Authors

• 2020 Poster: Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits »
  Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
• 2020 Poster: The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning »
  Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
• 2020 Poster: Estimating weighted areas under the ROC curve »
  Andreas Maurer · Massimiliano Pontil
• 2019 Poster: Online-Within-Online Meta-Learning »
  Giulia Denevi · Dimitris Stamos · Carlo Ciliberto · Massimiliano Pontil
• 2019 Poster: Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm »
  Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto
• 2019 Spotlight: Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm »
  Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto
• 2018 Poster: Bilevel learning of the Group Lasso structure »
  Jordan Frecon · Saverio Salzo · Massimiliano Pontil
• 2018 Poster: Learning To Learn Around A Common Mean »
  Giulia Denevi · Carlo Ciliberto · Dimitris Stamos · Massimiliano Pontil
• 2018 Spotlight: Bilevel learning of the Group Lasso structure »
  Jordan Frecon · Saverio Salzo · Massimiliano Pontil
• 2017 Workshop: Workshop on Prioritising Online Content »
  John Shawe-Taylor · Massimiliano Pontil · Nicolò Cesa-Bianchi · Emine Yilmaz · Chris Watkins · Sebastian Riedel · Marko Grobelnik
• 2017 Poster: Consistent Multitask Learning with Nonlinear Output Relations »
  Carlo Ciliberto · Alessandro Rudi · Lorenzo Rosasco · Massimiliano Pontil
• 2016 Workshop: "What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems »
  Ricardo Silva · John Shawe-Taylor · Adith Swaminathan · Thorsten Joachims
• 2016 Poster: Mistake Bounds for Binary Matrix Completion »
  Mark Herbster · Stephen Pasteris · Massimiliano Pontil
• 2015 : The Benefit of Multitask Representation Learning »
  Massimiliano Pontil
• 2014 Poster: Spectral k-Support Norm Regularization »
  Andrew McDonald · Massimiliano Pontil · Dimitris Stamos
• 2013 Workshop: New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks »
  Urun Dogan · Marius Kloft · Tatiana Tommasi · Francesco Orabona · Massimiliano Pontil · Sinno Jialin Pan · Shai Ben-David · Arthur Gretton · Fei Sha · Marco Signoretto · Rajhans Samdani · Yun-Qian Miao · Mohammad Gheshlaghi azar · Ruth Urner · Christoph Lampert · Jonathan How
• 2013 Poster: A New Convex Relaxation for Tensor Completion »
  Bernardino Romera-Paredes · Massimiliano Pontil
• 2012 Poster: Optimal kernel choice for large-scale two-sample tests »
  Arthur Gretton · Bharath Sriperumbudur · Dino Sejdinovic · Heiko Strathmann · Sivaraman Balakrishnan · Massimiliano Pontil · Kenji Fukumizu
• 2010 Spotlight: A Family of Penalty Functions for Structured Sparsity »
  Charles A Micchelli · Jean M Morales · Massimiliano Pontil
• 2010 Poster: A Family of Penalty Functions for Structured Sparsity »
  Charles A Micchelli · Jean M Morales · Massimiliano Pontil
• 2008 Poster: Fast Prediction on a Tree »
  Mark Herbster · Massimiliano Pontil · Sergio Rojas Galeano
• 2008 Oral: Fast Prediction on a Tree »
  Mark Herbster · Massimiliano Pontil · Sergio Rojas Galeano
• 2008 Poster: On-Line Prediction on Large Diameter Graphs »
  Mark Herbster · Massimiliano Pontil · Guy Lever
• 2007 Spotlight: A Spectral Regularization Framework for Multi-Task Structure Learning »
  Andreas Argyriou · Charles A. Micchelli · Massimiliano Pontil · Yiming Ying
• 2007 Poster: A Spectral Regularization Framework for Multi-Task Structure Learning »
  Andreas Argyriou · Charles A. Micchelli · Massimiliano Pontil · Yiming Ying
• 2006 Poster: Prediction on a Graph with a Perceptron »
  Mark Herbster · Massimiliano Pontil
• 2006 Spotlight: Prediction on a Graph with a Perceptron »
  Mark Herbster · Massimiliano Pontil
• 2006 Poster: Multi-Task Feature Learning »
  Andreas Argyriou · Theos Evgeniou · Massimiliano Pontil