State Aggregation Learning from Markov Transition Data. - Yaqi Duan; Zheng Tracy Ke; Mengdi Wang (NeurIPS, 2019)

Learning low-dimensional state embeddings and metastable clusters from time series data. - Yifan Sun 009; Yaqi Duan; Hao Gong; Mengdi Wang (NeurIPS, 2019)

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. - Yaqi Duan; Zeyu Jia; Mengdi Wang (ICML, 2020)

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. - Yaqi Duan; Mengdi Wang (CoRR, 2020)

Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains. - Yaqi Duan; Mengdi Wang; Zaiwen Wen; Yaxiang Yuan (SIAM J. Matrix Anal. Appl., 2020)

Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning. - Yaqi Duan; Chi Jin; Zhiyuan Li (ICML, 2021)

Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. - Botao Hao; Yaqi Duan; Tor Lattimore; Csaba Szepesvári; Mengdi Wang (ICML, 2021)

Bootstrapping Fitted Q-Evaluation for Off-Policy Inference. - Botao Hao; Xiang Ji; Yaqi Duan; Hao Lu; Csaba Szepesvári; Mengdi Wang (ICML, 2021)

Learning Good State and Action Representations via Tensor Decomposition. - Chengzhuo Ni; Anru R. Zhang; Yaqi Duan; Mengdi Wang (ISIT, 2021)

Bootstrapping Statistical Inference for Off-Policy Evaluation. - Botao Hao; Xiang Ji; Yaqi Duan; Hao Lu; Csaba Szepesvári; Mengdi Wang (CoRR, 2021)

PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows. - Aihua Mao; Zihui Du; Junhui Hou; Yaqi Duan; Yong-Jin Liu 001; Ying He 001 (CoRR, 2021)

Optimal policy evaluation using kernel-based temporal difference methods. - Yaqi Duan; Mengdi Wang; Martin J. Wainwright (CoRR, 2021)

Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. - Ming Yin 003; Yaqi Duan; Mengdi Wang; Yu-Xiang Wang 003 (ICLR, 2022)

Adaptive and Robust Multi-task Learning. - Yaqi Duan; Kaizheng Wang (CoRR, 2022)

Policy evaluation from a single path: Multi-step methods, mixing and mis-specification. - Yaqi Duan; Martin J. Wainwright (CoRR, 2022)

High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data. - Yaqi Duan; Jinglong Chen; Tianci Zhang; Shuilong He; Yong Feng; Jingsong Xie; Wenrong Xiao (Knowl. Based Syst., 2022)

Policy Evaluation in Batch Reinforcement Learning - Yaqi Duan (2022)

Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. - Aihua Mao; Yaqi Duan; Yu-Hui Wen; Zihui Du; Hongmin Cai; Yong-Jin Liu 001 (IJCAI, 2023)

A finite-sample analysis of multi-step temporal difference estimates. - Yaqi Duan; Martin J. Wainwright (L4DC, 2023)

Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. - Chengzhuo Ni; Yaqi Duan; Munther A. Dahleh; Mengdi Wang; Anru R. Zhang (J. Mach. Learn. Res., 2023)

PU-Flow: A Point Cloud Upsampling Network With Normalizing Flows. - Aihua Mao; Zihui Du; Junhui Hou; Yaqi Duan; Yong-Jin Liu 001; Ying He 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces. - Yaqi Duan; Martin J. Wainwright (NeurIPS, 2024)

Localized exploration in contextual dynamic pricing achieves dimension-free regret. - Jinhang Chai; Yaqi Duan; Jianqing Fan; Kaizheng Wang (CoRR, 2024)

Proteomic Stratification of Prognosis and Treatment Options for Small Cell Lung Cancer. - Zitian Huo; Yaqi Duan; Dongdong Zhan; Xizhen Xu; Nairen Zheng; Jing Cai; Ruifang Sun; Jianping Wang; Fang Cheng; Zhan Gao; Caixia Xu; Wanlin Liu; et al. (Genom. Proteom. Bioinform., 2024)

Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift. - Jinglong Chen; Yaqi Duan; Zhuohang Chen; Jingsong Xie; Zitong Zhou (Expert Syst. Appl., 2025)

PILAF: Optimal Human Preference Sampling for Reward Modeling. - Yunzhen Feng; Ariel Kwiatkowski; Kunhao Zheng; Julia Kempe; Yaqi Duan (CoRR, 2025)

Recursive Parameter Estimation of Fractional Order Hammerstein Output Error Autoregressive Model. - Yanan Li; Junhong Li; Fuchao Li; Yaqi Duan (Circuits Syst. Signal Process., 2025)