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Papers
Aggregating Data for Optimal Learning
UAI 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels
ACL 2025
Learning from Label Proportions and Covariate-shifted Instances
UAI 2025
Weak to Strong Learning from Aggregate Labels
UAI 2025
Optimistic Rates for Learning from Label Proportions
COLT 2024
Easy Learning from Label Proportions
NeurIPS 2023
Learning from Label Proportions by Learning with Label Noise
NeurIPS 2022
Learning from Label Proportions with Prototypical Contrastive Clustering
AAAI 2022
On Combining Bags to Better Learn from Label Proportions
AISTATS 2022
A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions
ACML 2021
Learnability of Linear Thresholds from Label Proportions
NeurIPS 2021
Learning from Label Proportions: A Mutual Contamination Framework
NeurIPS 2020
Learning from Label Proportions with Consistency Regularization
ACML 2020
Learning from Label Proportions with Generative Adversarial Networks
NeurIPS 2019
On the Complexity of Learning from Label Proportions
IJCAI 2017