Learning from Indirect Observations. - Yivan Zhang; Nontawat Charoenphakdee; Masashi Sugiyama (CoRR, 2019)

Learning from Aggregate Observations. - Yivan Zhang; Nontawat Charoenphakdee; Zhenguo Wu; Masashi Sugiyama (NeurIPS, 2020)

Classification with Rejection Based on Cost-sensitive Classification. - Nontawat Charoenphakdee; Zhenghang Cui; Yivan Zhang; Masashi Sugiyama (ICML, 2021)

Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization. - Yivan Zhang; Gang Niu 001; Masashi Sugiyama (ICML, 2021)

Approximating Instance-Dependent Noise via Instance-Confidence Embedding. - Yivan Zhang; Masashi Sugiyama (CoRR, 2021)

Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. - Yivan Zhang; Jindong Wang 001; Xing Xie 001; Masashi Sugiyama (CoRR, 2022)

A Category-theoretical Meta-analysis of Definitions of Disentanglement. - Yivan Zhang; Masashi Sugiyama (ICML, 2023)

Enriching Disentanglement: Definitions to Metrics. - Yivan Zhang; Masashi Sugiyama (CoRR, 2023)

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics. - Yivan Zhang; Masashi Sugiyama (NeurIPS, 2024)

Recursive Reward Aggregation. - Yuting Tang; Yivan Zhang; Johannes Ackermann; Yu-Jie Zhang; Soichiro Nishimori; Masashi Sugiyama (CoRR, 2025)