Co-occurring keywords · papers mentioning both
Papers
Active Bipartite Ranking with Smooth Posterior Distributions
AISTATS 2025
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
ICML 2025
Enhanced H-Consistency Bounds
ALT 2025
On Ranking-based Tests of Independence
AISTATS 2024
H-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
Active Bipartite Ranking
NeurIPS 2023
Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds
COLT 2023
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
AISTATS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
NeurIPS 2021
Risk Bounds for Low Cost Bipartite Ranking
UAI 2020
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric
NeurIPS 2019
Stochastic Proximal Algorithms for AUC Maximization
ICML 2018
A ranking approach to global optimization
ICML 2016
Bipartite Ranking: a Risk-Theoretic Perspective
JMLR 2016
Anomaly Ranking as Supervised Bipartite Ranking
ICML 2014
Bayes-Optimal Scorers for Bipartite Ranking
COLT 2014
Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses
JMLR 2014
Top Rank Optimization in Linear Time
NeurIPS 2014
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
ACML 2013
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
NeurIPS 2013
Ranking Forests
JMLR 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses
COLT 2013
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions
COLT 2012
On Equivalence Relationships Between Classification and Ranking Algorithms
JMLR 2011
Ranking the Best Instances
JMLR 2007