Binary Classification from Multiple Unlabeled Datasets via Surrogate Set
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Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification

1 February 2021

Masashi Sugiyama

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Papers citing "Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification"

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Title
Learning from M-Tuple Dominant Positive and Unlabeled Data Jiahe Qin Junpeng Li Changchun Hua Yana Yang 20 0 0 25 May 2025
Nearly Optimal Sample Complexity for Learning with Label Proportions R. Busa-Fekete Travis Dick Claudio Gentile Haim Kaplan Tomer Koren Uri Stemmer 81 0 0 08 May 2025
Unified Risk Analysis for Weakly Supervised Learning Chao-Kai Chiang Masashi Sugiyama 82 4 0 15 Sep 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision Yuhao Wu Xiaobo Xia Jun Yu Bo Han Gang Niu Masashi Sugiyama Tongliang Liu 92 3 0 12 Jun 2023
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 145 1 0 25 May 2023
Easy Learning from Label Proportions R. Busa-Fekete Heejin Choi Travis Dick Claudio Gentile Andrés Munoz Medina 47 14 0 06 Feb 2023
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 94 40 0 07 Apr 2022
Learning from Label Proportions by Learning with Label Noise Jianxin Zhang Yutong Wang Clayton Scott NoLa 74 25 0 04 Mar 2022