67 publications found

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  • 2019
    Donini M.iit , Monteiro J.M. , Pontil M.iit , Hahn T. , Fallgatter A.J. , Shawe-Taylor J. , Mourao-Miranda J.

    Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important

    NeuroImage, vol. 195, pp. 215-231
    Article
  • 2019
    Bressan M. , Cesa-Bianchi N. , *Paudice A.iit , Vitale F.

    Correlation Clustering with Adaptive Similarity Queries

    NeurIPS
    Conference Paper
  • 2019
    Magana O.A.V.iit , Barasuol V.iit , Camurri M.iit , Franceschi L.iit , Focchi M.iit , Pontil M.iit , Caldwell D.G.iit , Semini C.iit

    Fast and Continuous Foothold Adaptation for Dynamic Locomotion Through CNNs

    IEEE Robotics and Automation Letters, vol. 4, (no. 2), pp. 2140-2147
    Article
  • 2019
    *Traviglia A.iit , Fiorucci M.iit

    Graph Convolutional Neural Networks for Cultural Heritage: Applications in RS recognition, numismatics and epigraphy

    Machine Learning in Archaeology, Rome
    Abstract Report
  • 2019
    *Franceschi L.iit , Niepert M. , Pontil M.iit , He X.

    Graph Structure Learning for GCNs

    7th International Conference on Learning Representations
    Abstract Report
  • 2019
    *Franceschi L.iit , Niepert M. , Pontil M.iit , He X.

    Learning Discrete Structures for Graph Neural Networks

    International Conference on Machine Learning
    Conference Paper
  • 2019
    *Denevi G.iit , Ciliberto C. , Grazzi R. , Pontil M.iit

    Learning-To-Learn Stochastic Gradient Descent with Biased Regularization

    36th International Conference on Machine Learning
    Conference Paper
  • 2019
    Combettes P.L. , McDonald A.M. , Micchelli C.A. , *Pontil M.iit

    Learning with optimal interpolation norms

    Numerical Algorithms, vol. 81, (no. 2), pp. 695-717
    Article
  • 2019
    Chzhen E. , Denis C. , Hebiri M. , Oneto L. , Pontil M.iit

    Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

    Thirty-third Conference on Neural Information Processing Systems
    Conference Paper
  • 2019
    Luise G. , Stamos D. , Pontil M.iit , Ciliberto C.

    Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction

    International Conference on Machine Learning
    Conference Paper
  • 2019
    Denevi G. , Stamos D. , Ciliberto C. , Pontil M.iit

    Online-Within-Online Meta-Learning

    Thirty-third Conference on Neural Information Processing Systems
    Conference Paper
  • 2019
    Oneto L. , Donini M. , Pontil M.iit

    Pac-Bayes and fairness: Risk and fairness bounds on distribution dependent fair priors

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
    Conference Paper
  • 2019
    Luise G. , Salzo S.iit , Pontil M.iit , Ciliberto C.

    Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm

    Thirty-third Conference on Neural Information Processing Systems
    Conference Paper
  • 2019
    Oneto L. , Elders A.iit , Donini M.iit , Pontil M.iit

    Taking advantage of multitask learning for fair classification

    AIES 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, pp. 227-237
    Conference Paper
  • 2019
    Maurer A. , Pontil M.iit

    Uniform concentration and symmetrization for weak interactions

    Proceedings of the Thirty-Second Conference on Learning Theory, vol. 99, pp. 2372-2387
    Conference Paper
  • 2018
    Koul A.iit , Cavallo A.iit , Cauda F. , Costa T. , Diano M. , Pontil M.iit , Becchio C.iit

    Action observation areas represent intentions from subtle kinematic features

    Cerebral Cortex, vol. 28, (no. 7), pp. 2647-2654
    Article
  • 2018
    Frecon J.iit , Salzo S.iit , Pontil M.iit

    Bilevel learning of the group lasso structure

    Advances in Neural Information Processing Systems, vol. 2018-December, pp. 8301-8311
    Conference Paper
  • 2018
    *Franceschi L.iit , Frasconi P. , Salzo S.iit , Pontil M.iit

    Bilevel Programming for Hyperparameter Optimization and Meta-Learning

    Proceedings of the 35th International Conference on Machine Learning, vol. 80, pp. 1568-1577
    Conference Paper
  • 2018
    Franceschi L. , Frasconi P. , Salzo S. , Grazzi R. , Pontil M.iit

    Bilevel Programming for Hyperparameter Optimization and Meta-Learning

    Proceedings of the 35th International Conference on Machine Learning, vol. 80, pp. 1568-1577
    Conference Paper
  • 2018
    Combettes P.L. , *Salzo S.iit , Villa S.

    Consistent learning by composite proximal thresholding

    Mathematical Programming, Series B, vol. 167, (no. 1), pp. 99-127
    Article

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