Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: A Spectral Regularization Framework for Multi-Task Structure Learning »
  Wed. Dec 5th 07:50 -- 08:00 PM Room

More from the Same Authors

• 2022 Poster: Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks »
  Yunwen Lei · Rong Jin · Yiming Ying
• 2022 Poster: Stability and Generalization for Markov Chain Stochastic Gradient Methods »
  Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
• 2021 Poster: Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning »
  ZHENHUAN YANG · Yunwen Lei · Puyu Wang · Tianbao Yang · Yiming Ying
• 2021 Poster: Generalization Guarantee of SGD for Pairwise Learning »
  Yunwen Lei · Mingrui Liu · Yiming Ying
• 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 : An Efficient Method to Impose Fairness in Linear Models »
  Massimiliano Pontil · John Shawe-Taylor
• 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 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: Sparse Prediction with the $k$-Support Norm »
  Andreas Argyriou · Rina Foygel · Nati Srebro
• 2012 Spotlight: Sparse Prediction with the $k$-Support Norm »
  Andreas Argyriou · Rina Foygel · Nati Srebro
• 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 Workshop: Tensors, Kernels, and Machine Learning »
  Tamara G Kolda · Vicente Malave · David F Gleich · Johan Suykens · Marco Signoretto · Andreas Argyriou
• 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
• 2009 Poster: Sparse Metric Learning via Smooth Optimization »
  Yiming Ying · Kaizhu Huang · Colin I Campbell
• 2009 Poster: Analysis of SVM with Indefinite Kernels »
  Yiming Ying · Colin I Campbell · Mark A Girolami
• 2009 Spotlight: Analysis of SVM with Indefinite Kernels »
  Yiming Ying · Colin I Campbell · Mark A Girolami
• 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
• 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