Yuting Tang

I am Yuting Tang, a postdoctoral researcher at The University of Tokyo, advised by Takashi Ishida. I am also a visiting scientist at the Imperfect Information Learning Team at RIKEN AIP, led by Masashi Sugiyama. My research interests include reinforcement learning and weakly supervised learning.

Previously, I received my Ph.D. and M.S. from The University of Tokyo, where I was advised by Masashi Sugiyama. Before that, I studied mathematics as an undergraduate student at Dalian University of Technology.

Yuting Tang

News

Selected Publications

1.

Recursive Reward Aggregation

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

Reinforcement Learning Conference (RLC), 2025

2.

Reinforcement Learning from Bagged Reward

Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

Transactions on Machine Learning Research (TMLR), 2025

3.

Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization

Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama

Asian Conference on Machine Learning (ACML), 2023

For the complete list, see Publications or my Google Scholar profile.

Service

Conference reviewer: [2027] AAAI, ICLR [2026] AISTATS, ICLR, ICML (Gold Reviewer Award) [2025] AISTATS, ICLR, ICML, NeurIPS [2024] NeurIPS [2023] ICLR

Workshop reviewer: [202] RLC Workshop Finding the Frame [2025] ICML Workshop EXAIT [2024] ICML Workshop ARLET