Yivan Zhang

According to our database, Yivan Zhang authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Recursive Reward Aggregation.

Yuting Tang, Yivan Zhang, Johannes Ackermann, Yu-Jie Zhang, Soichiro Nishimori, Masashi Sugiyama

CoRR, July, 2025

2024

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics.

Yivan Zhang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Enriching Disentanglement: Definitions to Metrics.

Yivan Zhang, Masashi Sugiyama

CoRR, 2023

A Category-theoretical Meta-analysis of Definitions of Disentanglement.

Yivan Zhang, Masashi Sugiyama

Proceedings of the International Conference on Machine Learning, 2023

2022

Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.

Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama

CoRR, 2022

2021

Approximating Instance-Dependent Noise via Instance-Confidence Embedding.

Yivan Zhang, Masashi Sugiyama

CoRR, 2021

Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization.

Yivan Zhang, Gang Niu, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

Classification with Rejection Based on Cost-sensitive Classification.

Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning from Aggregate Observations.

Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning from Indirect Observations.

Yivan Zhang, Nontawat Charoenphakdee, Masashi Sugiyama

CoRR, 2019