Yaqi Duan - RankMe

38 papers A* 10B 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control. CoRR Yaqi Duan, Yichun Hu, Jiashuo Jiang
2025	J	`jnl`	Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift. Expert Syst. Appl. Jinglong Chen, Yaqi Duan, Zhuohang Chen, Jingsong Xie, Zitong Zhou
2025	J	`jnl`	Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting. CoRR Yunzhen Feng, Parag Jain, Anthony Hartshorn, Yaqi Duan, Julia Kempe
2025	J	`jnl`	On the optimization dynamics of RLVR: Gradient gap and step size thresholds. CoRR Joe Suk, Yaqi Duan
2025	A*	`conf`	PILAF: Optimal Human Preference Sampling for Reward Modeling. ICML Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	J	`jnl`	PILAF: Optimal Human Preference Sampling for Reward Modeling. CoRR Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	J	`jnl`	Recursive Parameter Estimation of Fractional Order Hammerstein Output Error Autoregressive Model. Circuits Syst. Signal Process. Yanan Li, Junhong Li, Fuchao Li, Yaqi Duan
2024	J	`jnl`	Localized exploration in contextual dynamic pricing achieves dimension-free regret. CoRR Jinhang Chai, Yaqi Duan, Jianqing Fan, Kaizheng Wang
2024	J	`jnl`	Proteomic Stratification of Prognosis and Treatment Options for Small Cell Lung Cancer. Genom. Proteom. Bioinform. Zitian Huo, Yaqi Duan, Dongdong Zhan, Xizhen Xu, Nairen Zheng, Jing Cai, Ruifang Sun, Jianping Wang, Fang Cheng, Zhan Gao, Caixia Xu, Wanlin Liu, Yuting Dong, Sailong Ma, Qian Zhang, Yiyun Zheng, Liping Lou, Dong Kuang, Qian Chu, Jun Qin, Guoping Wang, Yi Wang
2024	A*	`conf`	Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces. NeurIPS Yaqi Duan, Martin J. Wainwright
2024	J	`jnl`	Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces. CoRR Yaqi Duan, Martin J. Wainwright
2023	—	`conf`	A finite-sample analysis of multi-step temporal difference estimates. L4DC Yaqi Duan, Martin J. Wainwright
2023	A*	`conf`	Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. IJCAI Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu
2023	J	`jnl`	Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang
2023	J	`jnl`	PU-Flow: A Point Cloud Upsampling Network With Normalizing Flows. IEEE Trans. Vis. Comput. Graph. Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-Jin Liu, Ying He
2022	J	`jnl`	Adaptive and Robust Multi-task Learning. CoRR Yaqi Duan, Kaizheng Wang
2022	J	`jnl`	High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data. Knowl. Based Syst. Yaqi Duan, Jinglong Chen, Tianci Zhang, Shuilong He, Yong Feng, Jingsong Xie, Wenrong Xiao
2022	A*	`conf`	Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. ICLR Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
2022	J	`jnl`	Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. CoRR Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
2022	—	`—`	Policy Evaluation in Batch Reinforcement Learning Yaqi Duan
2022	J	`jnl`	Policy evaluation from a single path: Multi-step methods, mixing and mis-specification. CoRR Yaqi Duan, Martin J. Wainwright
2021	A*	`conf`	Bootstrapping Fitted Q-Evaluation for Off-Policy Inference. ICML Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	Bootstrapping Statistical Inference for Off-Policy Evaluation. CoRR Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang
2021	B	`conf`	Learning Good State and Action Representations via Tensor Decomposition. ISIT Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang
2021	J	`jnl`	Learning Good State and Action Representations via Tensor Decomposition. CoRR Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang
2021	J	`jnl`	Optimal policy evaluation using kernel-based temporal difference methods. CoRR Yaqi Duan, Mengdi Wang, Martin J. Wainwright
2021	J	`jnl`	PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows. CoRR Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-Jin Liu, Ying He
2021	A*	`conf`	Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning. ICML Yaqi Duan, Chi Jin, Zhiyuan Li
2021	J	`jnl`	Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning. CoRR Yaqi Duan, Chi Jin, Zhiyuan Li
2021	A*	`conf`	Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. ICML Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2020	J	`jnl`	Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. SIAM J. Matrix Anal. Appl. Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan
2020	A*	`conf`	Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. ICML Yaqi Duan, Zeyu Jia, Mengdi Wang
2020	J	`jnl`	Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. CoRR Yaqi Duan, Mengdi Wang
2020	J	`jnl`	Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. CoRR Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2019	A*	`conf`	Learning low-dimensional state embeddings and metastable clusters from time series data. NeurIPS Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang
2019	J	`jnl`	Learning low-dimensional state embeddings and metastable clusters from time series data. CoRR Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang
2019	A*	`conf`	State Aggregation Learning from Markov Transition Data. NeurIPS Yaqi Duan, Zheng Tracy Ke, Mengdi Wang
2018	J	`jnl`	State Aggregation Learning from Markov Transition Data. CoRR Yaqi Duan, Zheng Tracy Ke, Mengdi Wang