A Tunable Loss Function for Binary Classification

12 February 2019

Papers citing "A Tunable Loss Function for Binary Classification"

4 / 4 papers shown

Title
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization Francisco Daunas I. Esnaola S. Perlaza H. Vincent Poor 52 3 0 02 Oct 2024
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 163 446 0 22 May 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 68 551 0 18 Feb 2017
The Landscape of Empirical Risk for Non-convex Losses Song Mei Yu Bai Andrea Montanari 111 312 0 22 Jul 2016