Showing 1 - 20 results of 26 for search 'Rosasco Lorenzo', query time: 0.16s Refine Results
  1. 1
    Iterative Regularization via Dual Diagonal Descent
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  2. 2
    Neurally plausible mechanisms for learning selective and invariant representations
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  3. 3
    Neurally plausible mechanisms for learning selective and invariant representations
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  4. 4
    On invariance and selectivity in representation learning
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  5. 5
    Iterative regularization for learning with convex loss functions
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  6. 6
    Holographic embeddings of knowledge graphs
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  7. 7
    Stochastic Forward-Backward Splitting for Monotone Inclusions
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  8. 8
    Learning manifolds with k-means and k-flats
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  9. 9
    Modified Fejér sequences and applications
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  10. 10
    On invariance in hierarchical models
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  11. 11
    GURLS: A Least Squares Library for Supervised Learning
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  12. 12
    Convex learning of multiple tasks and their structure
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  13. 13
    Proximal methods for the latent group lasso penalty
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  14. 14
    Elastic-net regularization in learning theory
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  15. 15
    Nonparametric Sparsity and Regularization
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  16. 16
    Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review
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  17. 17
    Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel
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  18. 18
    The <it>l</it><sub>1</sub>-<it>l</it><sub>2 </sub>regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines
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  19. 19
    Mathematics of the Neural Response
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  20. 20
    Multiclass learning with simplex coding
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