Yuting Wei
Yuting Wei
Carnegie Mellon University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cmu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Y Wei, F Yang, MJ Wainwright
Advances in Neural Information Processing Systems, 6065-6075, 2017
452017
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
192020
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
172020
The local geometry of testing in ellipses: Tight control via localized Kolmogorov widths
Y Wei, MJ Wainwright
IEEE Transactions on Information Theory, 2020
152020
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
122020
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
112019
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
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
C Dan, Y Wei, P Ravikumar
International Conference on Machine Learning, 2345-2355, 2020
82020
The Lasso with general Gaussian designs with applications to hypothesis testing
M Celentano, A Montanari, Y Wei
arXiv preprint arXiv:2007.13716, 2020
82020
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
82017
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
7*2020
Adaptive estimation of planar convex sets
TT Cai, A Guntuboyina, Y Wei
Annals of Statistics 46 (3), 1018-1049, 2018
52018
Sharp minimax bounds for testing discrete monotone distributions
Y Wei, MJ Wainwright
2016 IEEE International Symposium on Information Theory (ISIT), 2684-2688, 2016
52016
From Gauss to Kolmogorov: Localized measures of complexity for ellipses
Y Wei, B Fang, MJ Wainwright
Electronic Journal of Statistics 14 (2), 2988-3031, 2020
32020
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
1*2021
Derandomizing Knockoffs
Z Ren, Y Wei, E Candès
arXiv preprint arXiv:2012.02717, 2020
12020
Debiasing Evaluations That are Biased by Evaluations
J Wang, I Stelmakh, Y Wei, NB Shah
arXiv preprint arXiv:2012.00714, 2020
12020
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
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
2021
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
2021
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