13 citations · 20 across the 3 of their papers we have counts for
3 papers
Infinite-Task Learning with RKHSs
Romain Brault, Alex Lambert, Zoltán Szabó +2
Machine learning has witnessed tremendous success in solving tasks depending on a single hyperparameter. When considering simultaneously a finite number of tasks, multi-task learni…
One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault +1
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setti…
Random Fourier Features for Operator-Valued Kernels
Romain Brault, Florence d'Alché-Buc, Markus Heinonen
Devoted to multi-task learning and structured output learning, operator-valued kernels provide a flexible tool to build vector-valued functions in the context of Reproducing Kernel…