Yufeng Zhang - RankMe

21 papers A* 8A 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. ICML Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2025	A	`conf`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. AISTATS Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2024	J	`jnl`	A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. CoRR Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen
2024	J	`jnl`	Can Large Language Models Play Games? A Case Study of A Self-Play Approach. CoRR Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang
2024	J	`jnl`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2023	J	`jnl`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. CoRR Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. CoRR Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang
2022	J	`jnl`	Federated Offline Reinforcement Learning. CoRR Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai
2022	A*	`conf`	Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. ICML Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. ICML Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang
2021	A*	`conf`	Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. NeurIPS Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	A	`conf`	Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. AISTATS Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. NeurIPS Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2021	J	`jnl`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. CoRR Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2020	A*	`conf`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. NeurIPS Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	J	`jnl`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	A*	`conf`	Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. ICML Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. CoRR Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang