Alex Lambert

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20182023

most citedDuality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses

1 citations · 3 across the 5 of their papers we have counts for

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Showing 2022 · stat.MLShow all

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stat.ML2022

Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$ -insensitive Losses

Alex Lambert, Dimitri Bouche, Zoltan Szabo +1

The focus of the paper is functional output regression (FOR) with convoluted losses. While most existing work consider the square loss setting, we leverage extensions of the Huber…

Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses

Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$ -insensitive Losses