14 citations · 26 across the 6 of their papers we have counts for
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stat.ML2019
On Tree-based Methods for Similarity Learning
Stéphan Clémençon, Robin Vogel
In many situations, the choice of an adequate similarity measure or metric on the feature space dramatically determines the performance of machine learning methods. Building automa…
stat.ML2019
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel, Aurélien Bellet, Stephan Clémençon +2
The development of cluster computing frameworks has allowed practitioners to scale out various statistical estimation and machine learning algorithms with minimal programming effor…