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Yuling Yan
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Year
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
191*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
1572019
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
792021
The efficacy of pessimism in asynchronous Q-learning
Y Yan, G Li, Y Chen, J Fan
IEEE Transactions on Information Theory, 2023
572023
Inference for heteroskedastic PCA with missing data
Y Yan, Y Chen, J Fan
The Annals of Statistics 52 (2), 729-756, 2024
372024
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
Y Yan, G Li, Y Chen, J Fan
Operations Research, 2024
32*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
29*2023
Learning Gaussian mixtures using the Wasserstein–Fisher–Rao gradient flow
Y Yan, K Wang, P Rigollet
The Annals of Statistics 52 (4), 1774-1795, 2024
252024
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
252021
Efficient clustering for stretched mixtures: Landscape and optimality
K Wang, Y Yan, M Diaz
Advances in Neural Information Processing Systems 33, 21309-21320, 2020
172020
Minimax-optimal reward-agnostic exploration in reinforcement learning
G Li, Y Yan, Y Chen, J Fan
The Thirty Seventh Annual Conference on Learning Theory, 3431-3436, 2024
152024
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
G Li, Y Yan
arXiv preprint arXiv:2405.14861, 2024
92024
Entrywise Inference for Causal Panel Data: A Simple and Instance-Optimal Approach
Y Yan, MJ Wainwright
arXiv preprint arXiv:2401.13665, 2024
72024
Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
G Li, Y Yan
arXiv preprint arXiv:2409.18959, 2024
32024
The Isotonic Mechanism for Exponential Family Estimation
Y Yan, WJ Su, J Fan
arXiv preprint arXiv:2304.11160, 2023
22023
When can weak latent factors be statistically inferred?
J Fan, Y Yan, Y Zheng
arXiv preprint arXiv:2407.03616, 2024
12024
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
A Score-Based Density Formula, with Applications in Diffusion Generative Models
G Li, Y Yan
arXiv preprint arXiv:2408.16765, 2024
2024
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
B Su, J Zhang, N Collina, Y Yan, D Li, K Cho, J Fan, A Roth, WJ Su
arXiv preprint arXiv:2408.13430, 2024
2024
Statistical Learning and Optimal Decision Making Under Uncertainty
Y Yan
Princeton University, 2023
2023
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