92 publications found

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  • 2019
    *Pasquale G.iit , Ciliberto C. , Odone F. , Rosasco L.iit , Natale L.iit

    Are we done with object recognition? The iCub robot's perspective.

    Robotics and Autonomous Systems, vol. 112, pp. 260-281
    Article in Press
  • 2019
    *Maiettini E.iit , Pasquale G.iit , Tikhanoff V.iit , Rosasco L.iit , Natale L.iit

    A weakly supervised strategy for learning object detection on a humanoid robot

    IEEE-RAS International Conference on Humanoid Robots
    Conference Paper
  • 2019
    Muecke N. , Neu G. , Rosasco L.iit

    Beating SGD Saturation with Tail-Averaging and Minibatching

    Advances in Neural Information Processing Systems 33
    Conference Paper
  • 2019
    Romeres D. , Zorzi M. , Camoriano R.iit , Traversaro S.iit , Chiuso A.

    Derivative-free online learning of inverse dynamics models

    IEEE Transactions on Control Systems Technology
    Article in Press
  • 2019
    *Derezinski M. , *Calandriello D.iit , Valko M.

    Exact sampling of determinantal point processes with sublinear time preprocessing

    Neural Information Processing Systems (NIPS)
    Conference Paper
  • 2019
    *Calandriello D.iit , Carratino L. , Lazaric A. , Valko M. , Rosasco L.

    Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

    32nd Annual Conference on Learning Theory (COLT 2019)
    Conference Paper
  • 2019
    *Anselmi F.iit , Noceti N. , Rosasco L. , Ward R.

    Genuine Personality Recognition from Highly Constrained Face Images

    International Conference on Image Analysis and Processing
    Article
  • 2019
    Pagliana N. , Rosasco L.iit

    Implicit Regularization of Accelerated Methods in Hilbert Spaces

    Advances in Neural Information Processing Systems 33
    Conference Paper
  • 2019
    Duan A. , Camoriano R.iit , Ferigo D.iit , Yanlong H. , Calandriello D.iit , Rosasco L. , Pucci D.iit

    Learning to sequence multiple tasks with competing constraints

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    Conference Paper
  • 2019
    *Maiettini E.iit , Pasquale G.iit , Rosasco L. , Natale L.iit

    On-line Object Detection: a Robotics Challenge

    Autonomous Robots
    Article in Press
  • 2019
    Anselmi F.iit , Evangelopoulos G. , Rosasco L.iit , Poggio T.

    Symmetry-adapted representation learning

    Pattern Recognition, vol. 86, pp. 201-208
    Article
  • 2019
    *Rusu C.iit , Schnass K.

    The Adaptive Dictionary Learning Toolbox

    Signal Processing with Adaptive Sparse Structured Representations
    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
  • 2018
    Duan A.iit , Camoriano R.iit , Ferigo D.iit , Calandriello D. , Rosasco L. , Pucci D.iit

    Constrained DMPs for Feasible Skill Learning on Humanoid Robots

    IEEE-RAS International Conference on Humanoid Robots, vol. 2018-November, pp. 1032-1038
    Conference Paper
  • 2018
    Milios D. , Camoriano R.iit , Michiardi P. , Rosasco L.iit , Filippone M.

    Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

    Advances in Neural Information Processing Systems 31 (NIPS 2018)
    Conference Paper
  • 2018
    Tomasi F. , Tozzo V. , Verri A. , Salzo S.iit

    Forward-Backward Splitting for Time-Varying Graphical Models

    Proceedings of the Ninth International Conference on Probabilistic Graphical Models, vol. PMLR, 72, pp. 475--486
    Conference Paper
  • 2018
    Lin J. , Rosasco L.iit

    Generalization properties of doubly stochastic learning algorithms

    Journal of Complexity, vol. 47, pp. 42-61
    Article
  • 2018
    *Calandriello D.iit , Koutis I. , Lazaric A. , Valko M.

    Improved large-scale graph learning through ridge spectral sparsification

    35th International Conference on Machine Learning, ICML 2018, vol. 2, pp. 1081-1090
    Conference Paper
  • 2018
    Neu G. , Rosasco L.iit

    Iterate averaging as regularization for stochastic gradient descent

    31st Annual Conference on Learning Theory (COLT 2018), vol. 75, pp. 3222-3242
    Conference Paper
  • 2018
    *Garrigos G.iit , *Rosasco L. , Villa S.

    Iterative Regularization via Dual Diagonal Descent

    Journal of Mathematical Imaging and Vision, vol. 60, (no. 2), pp. 189-215
    Article

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