Tao Ren

According to our database, Tao Ren authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Adaptive Robust Estimator for Multi-Agent Reinforcement Learning.

Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang, Huiming Zhang, Hui Yang, Tao Ren, Jinyang Jiang, Yijie Peng, Yikun Ban, Fuzhen Zhuang

CoRR, March, 2026

Optimal low-rank stochastic gradient estimation for LLM training.

Zehao Li, Tao Ren, Zishi Zhang, Xi Chen, Yijie Peng

CoRR, March, 2026

Omni-Masked Gradient Descent: Memory-Efficient Optimization via Mask Traversal with Improved Convergence.

Hui Yang, Tao Ren, Jinyang Jiang, Wan Tian, Yijie Peng

CoRR, March, 2026

Nonparametric Bayesian Optimization for General Rewards.

Zishi Zhang, Tao Ren, Yijie Peng

CoRR, February, 2026

2025

RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training.

Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng

CoRR, October, 2025

Zeroth-order Informed Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer.

Tao Ren, Zishi Zhang, Zehao Li, Jingyang Jiang, Shentao Qin, Guanghao Li, Yan Li, Yi Zheng, Xinping Li, Min Zhan, Yijie Peng

CoRR, February, 2025

Exploring and Exploiting Model Uncertainty in Bayesian Optimization.

Zishi Zhang, Tao Ren, Yijie Peng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FLOPS: Forward Learning with OPtimal Sampling.

Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Unified Framework for Multi-Stage Decision Optimization with Deep Reinforcement Learning and Foundation Models.

Qinghao Wang, Jinyang Jiang, Xiaotian Liu, Tao Ren, Yi Zheng, Cheng Zhang, Yaodong Yang, Yijie Peng

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode.

Jinyang Jiang, Xiaotian Liu, Tao Ren, Qinghao Wang, Yi Zheng, Yufu Du, Yijie Peng, Cheng Zhang

CoRR, 2024

RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search.

Tao Ren, Ruihan Zhou, Jinyang Jiang, Jiafeng Liang, Qinghao Wang, Yijie Peng

Proceedings of the 5th ACM International Conference on AI in Finance, 2024