Vincent Q. Vu
Vincent Q. Vu
Associate Professor of Statistics, The Ohio State University
Verified email at stat.osu.edu - Homepage
Title
Cited by
Cited by
Year
Minimax sparse principal subspace estimation in high dimensions
VQ Vu, J Lei
Annals of Statistics 41 (6), 2905-2947, 2013
1192013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
VQ Vu, J Cho, J Lei, K Rohe
Advances in Neural Information Processing Systems (NIPS) 26, 2670-2678, 2013
1132013
Minimax rates of estimation for sparse pca in high dimensions
VQ Vu, J Lei
Artificial Intelligence and Statistics (AISTATS) 15, 2012
1042012
Bluetooth worm propagation: mobility pattern matters!
G Yan, HD Flores, L Cuellar, N Hengartner, S Eidenbenz, V Vu
Proceedings of the 2nd ACM symposium on Information, computer and …, 2007
772007
Coverage‐adjusted entropy estimation
VQ Vu, B Yu, RE Kass
Statistics in medicine 26 (21), 4039-4060, 2007
462007
Sparsistency and agnostic inference in sparse PCA
J Lei, VQ Vu
Annals of Statistics, 2015
392015
Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models
VQ Vu, P Ravikumar, T Naselaris, KN Kay, JL Gallant, B Yu
The Annals of Applied Statistics 5 (2B), 1159-1182, 2011
372011
Information in the nonstationary case
VQ Vu, B Yu, RE Kass
Neural computation 21 (3), 688-703, 2009
172009
A multivariate Gaussian process factor model for hand shape during reach-to-grasp movements
L Castellanos, VQ Vu, S Perel, AB Schwartz, RE Kass
Statistica Sinica, 2015
82015
Nonparametric sparse hierarchical models describe v1 fmri responses to natural images
P Ravikumar, V Vu, B Yu, T Naselaris, K Kay, J Gallant, C Berkeley
Advances in Neural Information Processing Systems (NIPS) 21, 2008
5*2008
Squared-norm empirical process in Banach space
VQ Vu, J Lei
arXiv preprint arXiv:1312.1005, 2013
22013
Group Invariance and Computational Sufficiency
VQ Vu
arXiv preprint arXiv:1807.05985, 2018
12018
Squared-norm empirical processes
VQ Vu, J Lei
Statistics & Probability Letters 150, 108-113, 2019
2019
Computational Sufficiency, Reflection Groups, and Generalized Lasso Penalties
VQ Vu
arXiv preprint arXiv:1809.02857, 2018
2018
Some statistical issues in estimating information in neural spike trains
VQ Vu, B Yu, RE Kass
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
2009
High Dimensional Estimation and Data Analysis: Entropy and Regularized Regression
VQ Vu
University of California, Berkeley, 2009
2009
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Articles 1–16