Entrywise Inference for Causal Panel Data: A Simple and Instance-Optimal Approach Yuling Yan, Martin J. Wainwright arXiv preprint arXiv:2401.13665, 2024
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow Yuling Yan*, Kaizheng Wang*, Philippe Rigollet (*=equal contribution) arXiv preprint arXiv:2301.01766, under major revision at Annals of Statistics
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan arXiv preprint arXiv:2304.07278, 2023, accepted in part to Conference on Learning Theory (COLT), 2024
The Isotonic Mechanism for Exponential Family Estimation Yuling Yan, Weijie J. Su, Jianqing Fan arXiv preprint arXiv:2304.11160, under major revision at Journal of the Royal Statistical Society: Series B
The Efficacy of Pessimism in Asynchronous Q-learning Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan IEEE Transactions on Information Theory, vol. 69, no. 11, pp. 7185-7219, 2023
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan To appear in Operations Research, 2024
Inference for Heteroskedastic PCA with Missing Data Yuling Yan, Yuxin Chen, Jianqing Fan Annals of Statistics， vol. 52, no. 2, pp. 729–756, 2024 2022 ASA Statistical Learning and Data Science Best Student Paper Award
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model Bingyan Wang*, Yuling Yan*, Jianqing Fan (*=equal contribution) Neural Information Processing Systems (NeurIPS), 2021
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order) Annals of Statistics, vol. 49, no. 5, pp. 2948-2971, 2021
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan (alphabetical order) Journal of the American Statistical Association, vol. 118, no. 542, pp. 858-868, 2023
Efficient Clustering for Stretched Mixtures: Landscape and Optimality Kaizheng Wang, Yuling Yan, Mateo Díaz Neural Information Processing Systems (NeurIPS), 2020
Inference and Uncertainty Quantification for Noisy Matrix Completion Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order) Proceedings of the National Academy of Sciences, vol. 116, no. 46, pp. 22931-22937, 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order) SIAM Journal on Optimization, vol. 30, no. 4, pp. 3098-3121, 2020
Asymptotic Seed Bias in Respondent-driven Sampling Yuling Yan, Bret Hanlon, Sebastien Roch, Karl Rohe Electronic Journal of Statistics, vol. 14, no. 1, pp. 1577-1610, 2020
Statistical Learning and Optimal Decision Making under Uncertainty Yuling Yan Ph.D. thesis, Princeton University, 202