Qingyue Zhao

11 papers A* 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Near-Optimal Regret for KL-Regularized Multi-Armed Bandits. CoRR Kaixuan Ji, Qingyue Zhao, Heyang Zhao, Qiwei Di, Quanquan Gu
2026	J	`jnl`	Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models. CoRR Chenyang Zhang, Qingyue Zhao, Quanquan Gu, Yuan Cao
2025	J	`jnl`	Global Convergence and Rich Feature Learning in CoRR Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2025	A*	`conf`	Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization. ICML Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu
2025	J	`jnl`	Nearly Optimal Sample Complexity of Offline KL-Regularized Contextual Bandits under Single-Policy Concentrability. CoRR Qingyue Zhao, Kaixuan Ji, Heyang Zhao, Tong Zhang, Quanquan Gu
2025	J	`jnl`	Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models. CoRR Yihang Chen, Haikang Deng, Kaiqiao Han, Qingyue Zhao
2025	J	`jnl`	Robust Layerwise Scaling Rules by Proper Weight Decay Tuning. CoRR Zhiyuan Fan, Yifeng Liu, Qingyue Zhao, Angela Yuan, Quanquan Gu
2024	A*	`conf`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. ICLR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2024	A*	`conf`	Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. ICLR Qingyue Zhao, Banghua Zhu
2023	J	`jnl`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. CoRR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2023	J	`jnl`	Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. CoRR Qingyue Zhao, Banghua Zhu