Lu, Nan

10 publications

NeurIPS 2025 Preference-Based Dynamic Ranking Structure Recognition Nan Lu, Jian Shi, Xinyu Tian

NeurIPS 2023 Generalizing Importance Weighting to a Universal Solver for Distribution Shift Problems Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama

ICLR 2022 Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama

ACML 2022 Multi-Class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama

ICML 2021 Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification Nan Lu, Shida Lei, Gang Niu, Issei Sato, Masashi Sugiyama

ICML 2021 Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama

ACML 2020 A One-Step Approach to Covariate Shift Adaptation Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama

AISTATS 2020 Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu, Tianyi Zhang, Gang Niu, Masashi Sugiyama

NeurIPS 2020 Rethinking Importance Weighting for Deep Learning Under Distribution Shift Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama

ICLR 2019 On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama