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Nan Lu
Nan Lu
Verified email at uni-tuebingen.de
Title
Cited by
Cited by
Year
Rethinking importance weighting for deep learning under distribution shift
T Fang, N Lu, G Niu, M Sugiyama
NeurIPS 2020, 2020
1182020
On the minimal supervision for training any binary classifier from only unlabeled data
N Lu, G Niu, AK Menon, M Sugiyama
ICLR 2019, 2018
872018
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
N Lu, T Zhang, G Niu, M Sugiyama
AISTATS 2020, 2019
552019
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
N Lu, Z Wang, X Li, G Niu, Q Dou, M Sugiyama
ICLR 2022, 2022
402022
Machine learning from weak supervision: An empirical risk minimization approach
M Sugiyama, H Bao, T Ishida, N Lu, T Sakai
MIT Press, 2022
222022
A one-step approach to covariate shift adaptation
T Zhang, I Yamane, N Lu, M Sugiyama
Asian Conference on Machine Learning, 65-80, 2020
222020
Pointwise Binary Classification with Pairwise Confidence Comparisons
L Feng, S Shu, N Lu, B Han, M Xu, G Niu, B An, M Sugiyama
ICML 2021, 2020
202020
Binary classification from multiple unlabeled datasets via surrogate set classification
N Lu, S Lei, G Niu, I Sato, M Sugiyama
ICML 2021, 2021
132021
Rethinking Importance Weighting for Transfer Learning
N Lu, T Zhang, T Fang, T Teshima, M Sugiyama
Federated and Transfer Learning 27, 185–231, 2022
62022
Multi-class classification from multiple unlabeled datasets with partial risk regularization
Y Tang, N Lu, T Zhang, M Sugiyama
Asian Conference on Machine Learning, 990-1005, 2023
4*2023
A general framework for learning under corruption: Label noise, attribute noise, and beyond
L Iacovissi, N Lu, RC Williamson
arXiv preprint arXiv:2307.08643, 2023
32023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
T Fang, N Lu, G Niu, M Sugiyama
NeurIPS 2023, 2023
12023
A One-Step Approach to Covariate Shift Adaptation
T Zhang, I Yamane, N Lu, M Sugiyama
SN Computer Science 2 (4), 1-12, 2021
2021
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Articles 1–13