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Papers
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
AAAI 2024
Mixture Proportion Estimation Beyond Irreducibility
ICML 2023
Learning from Noisy Pairwise Similarity and Unlabeled Data
JMLR 2022
Mixture Proportion Estimation and PU Learning:A Modern Approach
NeurIPS 2021
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators
ALT 2019
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption
CVPR 2018
Mixture Proportion Estimation via Kernel Embeddings of Distributions
ICML 2016
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
COLT 2013