Recursive Reward Aggregation
Yuting Tang
Email / Google Scholar / LinkedIn / OpenReview
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.
News
- 2026 I started as a postdoctoral researcher at The University of Tokyo.
Selected Publications
Reinforcement Learning from Bagged Reward
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization
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