183 citations · 706 across the 60 of their papers we have counts for
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Exponential convergence of testing error for stochastic gradient methods
Loucas Pillaud-Vivien, Alessandro Rudi, Francis Bach
We consider binary classification problems with positive definite kernels and square loss, and study the convergence rates of stochastic gradient methods. We show that while the ex…
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
Kernel methods provide a principled way to perform non linear, nonparametric learning. They rely on solid functional analytic foundations and enjoy optimal statistical properties.…
Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco +1
Key to multitask learning is exploiting relationships between different tasks to improve prediction performance. If the relations are linear, regularization approaches can be used…