Követés
Yuling Yan
Yuling Yan
Norbert Wiener Postdoc, MIT
E-mail megerősítve itt: mit.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Noisy matrix completion: Understanding statistical guarantees for convex relaxation via nonconvex optimization
Y Chen, Y Chi, J Fan, C Ma, Y Yan
SIAM Journal on Optimization 30 (4), 3098-3121, 2020
156*2020
Inference and uncertainty quantification for noisy matrix completion
Y Chen, J Fan, C Ma, Y Yan
Proceedings of the National Academy of Sciences 116 (46), 22931-22937, 2019
1352019
Bridging convex and nonconvex optimization in robust PCA: Noise, outliers and missing data
Y Chen, J Fan, C Ma, Y Yan
The Annals of Statistics 49 (5), 2948-2971, 2021
622021
The efficacy of pessimism in asynchronous Q-learning
Y Yan, G Li, Y Chen, J Fan
IEEE Transactions on Information Theory, 2023
472023
Inference for heteroskedastic PCA with missing data
Y Yan, Y Chen, J Fan
The Annals of Statistics 52 (2), 729-756, 2024
282024
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
Y Yan, G Li, Y Chen, J Fan
Operations Research, 2024
24*2024
Convex and nonconvex optimization are both minimax-optimal for noisy blind deconvolution under random designs
Y Chen, J Fan, B Wang, Y Yan
Journal of the American Statistical Association 118 (542), 858-868, 2023
23*2023
Sample-efficient reinforcement learning for linearly-parameterized MDPs with a generative model
B Wang, Y Yan, J Fan
Advances in Neural Information Processing Systems 34, 2021
232021
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Y Yan, K Wang, P Rigollet
arXiv preprint arXiv:2301.01766, 2023
162023
Efficient clustering for stretched mixtures: Landscape and optimality
K Wang, Y Yan, M Diaz
Advances in Neural Information Processing Systems 33, 21309-21320, 2020
162020
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
G Li, Y Yan, Y Chen, J Fan
arXiv preprint arXiv:2304.07278, 2023
102023
Entrywise Inference for Causal Panel Data: A Simple and Instance-Optimal Approach
Y Yan, MJ Wainwright
arXiv preprint arXiv:2401.13665, 2024
22024
Asymptotic seed bias in respondent-driven sampling
Y Yan, B Hanlon, S Roch, K Rohe
Electronic Journal of Statistics 14 (1), 1577-1610, 2020
12020
The Isotonic Mechanism for Exponential Family Estimation
Y Yan, WJ Su, J Fan
arXiv preprint arXiv:2304.11160, 2023
2023
Statistical Learning and Optimal Decision Making Under Uncertainty
Y Yan
Princeton University, 2023
2023
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Cikkek 1–15