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
arXiv preprint arXiv:2007.06558, 2020
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
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
G Li, Y Wei, Y Chi, Y Gu, Y Chen
arXiv preprint arXiv:2005.12900, 2020
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
arXiv preprint arXiv:2007.13716, 2020
Is Q-learning minimax optimal? a tight sample complexity analysis
G Li, C Cai, Y Chen, Y Gu, Y Wei, Y Chi
arXiv preprint arXiv:2102.06548, 2021
The geometry of hypothesis testing over convex cones: Generalized likelihood ratio tests and minimax radii
Y Wei, MJ Wainwright, A Guntuboyina
The Annals of Statistics 47 (2), 994-1024, 2019
The local geometry of testing in ellipses: Tight control via localized kolmogorov widths
Y Wei, MJ Wainwright
IEEE Transactions on Information Theory 66 (8), 5110-5129, 2020
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 Gu, Y Chen
arXiv preprint arXiv:2102.11270, 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
Debiasing Evaluations That are Biased by Evaluations
J Wang, I Stelmakh, Y Wei, NB Shah
arXiv preprint arXiv:2012.00714, 2020
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
S Cen, Y Wei, Y Chi
arXiv preprint arXiv:2105.15186, 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
MHC binding prediction with KernelRLSpan and its variations
WJ Shen, YT Wei, X Guo, S Smale, HS Wong, SC Li
Journal of Immunological Methods 406, 10-20, 2014
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
G Li, Y Chen, Y Chi, Y Gu, Y Wei
arXiv preprint arXiv:2105.08024, 2021
Derandomizing knockoffs
Z Ren, Y Wei, E Candès
Journal of the American Statistical Association, 1-11, 2021
Adaptive estimation of planar convex sets
TT Cai, A Guntuboyina, Y Wei
Annals of Statistics 46 (3), 1018-1049, 2018
Sharp minimax bounds for testing discrete monotone distributions
Y Wei, MJ Wainwright
2016 IEEE International Symposium on Information Theory (ISIT), 2684-2688, 2016
Minimum -norm interpolators: Precise asymptotics and multiple descent
Y Li, Y Wei
arXiv preprint arXiv:2110.09502, 2021
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