50 citations · 223 across the 27 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ML2018★ 34 cited
A Kernel Perspective for Regularizing Deep Neural Networks
Alberto Bietti, Grégoire Mialon, Dexiong Chen +1
We propose a new point of view for regularizing deep neural networks by using the norm of a reproducing kernel Hilbert space (RKHS). Even though this norm cannot be computed, it ad…
stat.ML2018★ 50 cited
A Contextual Bandit Bake-off
Alberto Bietti, Alekh Agarwal, John Langford
Contextual bandit algorithms are essential for solving many real-world interactive machine learning problems. Despite multiple recent successes on statistically and computationally…