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Carlo Ciliberto

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Papers (18)

  1. Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm stat.ML · 2019 · author #4
  2. Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation cs.LG · 2019 · author #2
  3. Learning-to-Learn Stochastic Gradient Descent with Biased Regularization cs.LG · 2019 · author #2
  4. Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction cs.LG · 2019 · author #4
  5. Manifold Structured Prediction stat.ML · 2018 · author #2
  6. Localized Structured Prediction stat.ML · 2018 · author #1
  7. Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance stat.ML · 2018 · author #4
  8. Incremental Learning-to-Learn with Statistical Guarantees stat.ML · 2018 · author #2
  9. Quantum machine learning: a classical perspective quant-ph · 2017 · author #1
  10. Reexamining Low Rank Matrix Factorization for Trace Norm Regularization cs.LG · 2017 · author #1
  11. Consistent Multitask Learning with Nonlinear Output Relations cs.LG · 2017 · author #1
  12. A Consistent Regularization Approach for Structured Prediction cs.LG · 2016 · author #1
  13. Incremental Robot Learning of New Objects with Fixed Update Time stat.ML · 2016 · author #3
  14. Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives cs.RO · 2015 · author #3
  15. Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? cs.RO · 2015 · author #2
  16. Learning Multiple Visual Tasks while Discovering their Structure cs.LG · 2015 · author #1
  17. Convex Learning of Multiple Tasks and their Structure cs.LG · 2015 · author #1
  18. iCub World: Friendly Robots Help Building Good Vision Data-Sets cs.CV · 2013 · author #2

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