172 citations · 763 across the 43 of their papers we have counts for
Showing 2016 · math.STShow all
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math.ST2016★ 8 cited
Parallelizing Spectral Algorithms for Kernel Learning
Gilles Blanchard, Nicole Mücke
We consider a distributed learning approach in supervised learning for a large class of spectral regularization methods in an RKHS framework. The data set of size n is partitioned…
math.ST2016★ 32 cited
Convergence rates of Kernel Conjugate Gradient for random design regression
Gilles Blanchard, Nicole Krämer
We prove statistical rates of convergence for kernel-based least squares regression from i.i.d. data using a conjugate gradient algorithm, where regularization against overfitting…
math.ST2016
Optimal adaptation for early stopping in statistical inverse problems
Gilles Blanchard, Marc Hoffmann, Markus Reiß
For linear inverse problems , it is classical to recover the unknown signal by iterative regularisation methods and halt at…