May 23, 2024 · In this paper, we introduce Fitzpatrick losses, a new family of convex loss functions based on the Fitzpatrick function.

Nov 5, 2024 · TL;DR: A new family of loss functions based on monotone operator theory that lower bound Fenchel-Young losses, such as the the logistic loss.

A well-known theoretical tool in maximal monotone operator theory, the Fitzpatrick function naturally leads to a refined Fenchel-Young inequality, making ...

Poster. Learning with Fitzpatrick Losses. Seta Rakotomandimby · Jean-Philippe Chancelier · Michel De Lara · Mathieu Blondel. West Ballroom A-D #5906.

Sep 8, 2024 · Fenchel-Young losses are a family of convex loss functions, encompassing the squared, logistic and sparsemax losses, among others.

May 24, 2024 · https://t.co/XaG9HnRWDw 'Learning with Fitzpatrick Losses' - Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu Blondel.

May 23, 2024 · This paper introduces a new family of losses called Fitzpatrick losses, which are tighter (i.e., more discriminative) versions of Fenchel-Young ...

This research introduces a new type of loss function called Fitzpatrick losses, which are more efficient than traditional losses like logistic and sparsemax ...

May 24, 2024 · - Fitzpatrick losses can be seen as Fenchel-Young losses with a modified, target-dependent generating function. - Experiments on label ...

Fenchel-Young损失是一组凸损失函数，包括平方损失、逻辑损失和sparsemax损失等。每个Fenchel-Young损失都隐含与一个链接函数相关联，用于将模型输出映射到预测结果。