717 citations · 901 across the 13 of their papers we have counts for
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math.ST2018★ 21 cited
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
Dmitry Kobak, Jonathan Lomond, Benoit Sanchez
A conventional wisdom in statistical learning is that large models require strong regularization to prevent overfitting. Here we show that this rule can be violated by linear regre…
stat.AP2018★ 14 cited
Putin's peaks: Russian election data revisited
Dmitry Kobak, Sergey Shpilkin, Maxim S. Pshenichnikov
We study the anomalous prevalence of integer percentages in the last parliamentary (2016) and presidential (2018) Russian elections. We show how this anomaly in Russian federal ele…