Yuting Wei
Yuting Wei
Statistics and Data Science at Wharton, University of Pennsylvania
Adresse e-mail validée de wharton.upenn.edu - Page d'accueil
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Année
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
522019
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
432020
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
362020
The Lasso with general Gaussian designs with applications to hypothesis testing
M Celentano, A Montanari, Y Wei
arXiv preprint arXiv:2007.13716, 2020
232020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
G Li, Y Wei, Y Chi, Y Gu, Y Chen
arXiv preprint arXiv:2006.03041, 2020
232020
The local geometry of testing in ellipses: Tight control via localized Kolmogorov widths
Y Wei, MJ Wainwright
IEEE Transactions on Information Theory, 2020
162020
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
152019
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
C Dan, Y Wei, P Ravikumar
International Conference on Machine Learning, 2345-2355, 2020
132020
Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise
C Cheng, Y Wei, Y Chen
arXiv preprint arXiv:2001.04620, 2020
11*2020
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
Y Wei, MJ Wainwright, A Guntuboyina
arXiv preprint arXiv:1703.06810, 2017
92017
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
92014
Debiasing Evaluations That are Biased by Evaluations
J Wang, I Stelmakh, Y Wei, NB Shah
arXiv preprint arXiv:2012.00714, 2020
72020
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
62021
Adaptive estimation of planar convex sets
TT Cai, A Guntuboyina, Y Wei
Annals of Statistics 46 (3), 1018-1049, 2018
62018
Sharp minimax bounds for testing discrete monotone distributions
Y Wei, MJ Wainwright
2016 IEEE International Symposium on Information Theory (ISIT), 2684-2688, 2016
62016
Derandomizing knockoffs
Z Ren, Y Wei, E Candès
Journal of the American Statistical Association, 1-11, 2021
52021
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
42021
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
4*2021
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
4*2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
G Li, C Cai, Y Chen, Y Gu, Y Wei, Y Chi
International Conference on Machine Learning, 6296-6306, 2021
32021
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