45 citations · 139 across the 9 of their papers we have counts for
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cond-mat.dis-nn2021★ 2 cited
Mean-field methods and algorithmic perspectives for high-dimensional machine learning
Benjamin Aubin
The main difficulty that arises in the analysis of most machine learning algorithms is to handle, analytically and numerically, a large number of interacting random variables. In t…
cs.LG2021★ 13 cited
Linear unit-tests for invariance discovery
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky +2
There is an increasing interest in algorithms to learn invariant correlations across training environments. A big share of the current proposals find theoretical support in the cau…