111 citations · 207 across the 4 of their papers we have counts for
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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.ML2017★ 32 cited
Learning Neural Representations of Human Cognition across Many fMRI Studies
Arthur Mensch, Julien Mairal, Danilo Bzdok +2
Cognitive neuroscience is enjoying rapid increase in extensive public brain-imaging datasets. It opens the door to large-scale statistical models. Finding a unified perspective for…
stat.ML2013★ 111 cited
Optimization with First-Order Surrogate Functions
Julien Mairal
In this paper, we study optimization methods consisting of iteratively minimizing surrogates of an objective function. By proposing several algorithmic variants and simple converge…