Yuting Wei
Yuting Wei
Statistics and Data Science at Wharton, University of Pennsylvania
Verified email at - Homepage
Cited by
Cited by
Fast global convergence of natural policy gradient methods with entropy regularization
S Cen, C Cheng, Y Chen, Y Wei, Y Chi
Operations Research 70 (4), 2563-2578, 2022
Breaking the sample size barrier in model-based reinforcement learning with a generative model
G Li, Y Wei, Y Chi, Y Chen
Operations Research 72 (1), 203-221, 2024
Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction
G Li, Y Wei, Y Chi, Y Gu, Y Chen
IEEE Transactions on Information Theory 68 (1), 448-473, 2021
The lasso with general gaussian designs with applications to hypothesis testing
M Celentano, A Montanari, Y Wei
The Annals of Statistics 51 (5), 2194-2220, 2023
Pessimistic q-learning for offline reinforcement learning: Towards optimal sample complexity
L Shi, G Li, Y Wei, Y Chen, Y Chi
International conference on machine learning, 19967-20025, 2022
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Y Wei, F Yang, MJ Wainwright
IEEE Transactions on Information Theory 65 (10), 6685-6703, 2019
Is Q-learning minimax optimal? a tight sample complexity analysis
G Li, C Cai, Y Chen, Y Wei, Y Chi
Operations Research 72 (1), 222-236, 2024
Settling the sample complexity of model-based offline reinforcement learning
G Li, L Shi, Y Chen, Y Chi, Y Wei
The Annals of Statistics 52 (1), 233-260, 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
S Cen, Y Wei, Y Chi
Journal of Machine Learning Research 25 (4), 1-48, 2024
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
C Dan, Y Wei, P Ravikumar
International Conference on Machine Learning, 2345-2355, 2020
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
G Li, Y Wei, Y Chi, Y Chen
accepted to Mathematical Programming, 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
P Patil, Y Wei, A Rinaldo, R Tibshirani
International Conference on Artificial Intelligence and Statistics, 3178-3186, 2021
Derandomizing knockoffs
Z Ren, Y Wei, E Candès
Journal of the American Statistical Association 118 (542), 948-958, 2023
Towards faster non-asymptotic convergence for diffusion-based generative models
G Li, Y Wei, Y Chen, Y Chi
arXiv preprint arXiv:2306.09251, 2023
Sample-efficient reinforcement learning is feasible for linearly realizable MDPs with limited revisiting
G Li, Y Chen, Y Chi, Y Gu, Y Wei
Advances in Neural Information Processing Systems 34, 16671-16685, 2021
Integration and transfer learning of single-cell transcriptomes via cFIT
M Peng, Y Li, B Wamsley, Y Wei, K Roeder
Proceedings of the National Academy of Sciences 118 (10), 2021
The geometry of hypothesis testing over convex cones: Generalized likelihood ratio tests and minimax radii
Y Wei, MJ Wainwright, A Guntuboyina
Annals of Statistics 47 (2), 994-1024, 2019
Minimum -norm interpolators: Precise asymptotics and multiple descent
Y Li, Y Wei
arXiv preprint arXiv:2110.09502, 2021
Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise
C Cheng, Y Wei, Y Chen
IEEE Transactions on Information Theory 67 (11), 7380-7419, 2021
A non-asymptotic framework for approximate message passing in spiked models
G Li, Y Wei
arXiv preprint arXiv:2208.03313, 2022
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