Co-occurring keywords · papers mentioning both
Papers
Calm Composite Losses: Being Improper Yet Proper Composite
AISTATS 2025
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
ICML 2023
Consistency and Finite Sample Behavior of Binary Class Probability Estimation
AAAI 2021
Bipartite Ranking: a Risk-Theoretic Perspective
JMLR 2016
Differential Geometric Regularization for Supervised Learning of Classifiers
ICML 2016
Linking losses for density ratio and class-probability estimation
ICML 2016
Learning from Corrupted Binary Labels via Class-Probability Estimation
ICML 2015
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare
ICML 2014
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
NeurIPS 2013
Convexity of Proper Composite Binary Losses
AISTATS 2010
Boosted Classification Trees and Class Probability/Quantile Estimation
JMLR 2007