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- Vincent Q. Vu, Juhee Cho, Jing Lei, Karl Rohe
- NIPS
- 2013

We propose a novel convex relaxation of sparse principal subspace estimation based on the convex hull of rank-d projection matrices (the Fantope). The convex problem can be solved efficiently usingâ€¦ (More)

- Vincent Q. Vu, Jing Lei
- 2015

We study sparse principal components analysis in high dimensions , where p (the number of variables) can be much larger than n (the number of observations), and analyze the problem of estimating theâ€¦ (More)

- Vincent Q. Vu, Jing Lei
- AISTATS
- 2012

We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove optimal,â€¦ (More)

- Vincent Q. Vu, Bin Yu, Robert E. Kass
- Statistics in medicine
- 2007

Data on 'neural coding' have frequently been analyzed using information-theoretic measures. These formulations involve the fundamental and generally difficult statistical problem of estimatingâ€¦ (More)

We propose a novel hierarchical, nonlinear model that predicts brain activity in area V1 evoked by natural images. In the study reported here brain activity was measured by means of functionalâ€¦ (More)

- Vincent Q. Vu, Pradeep Ravikumar, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant, Bin Yu
- The annals of applied statistics
- 2011

Functional MRI (fMRI) has become the most common method for investigating the human brain. However, fMRI data present some complications for statistical analysis and modeling. One recently developedâ€¦ (More)

- L. N. MuÃ±oz - Castellanos, Vincent Q. Vu, Sagi Perel, Andrew B. Schwartz, Robert E. Kass
- Statistica Sinica
- 2015

We propose a Multivariate Gaussian Process Factor Model to estimate low dimensional spatio-temporal patterns of finger motion in repeated reach-to-grasp movements. Our model decomposes and reducesâ€¦ (More)

- Vincent Q. Vu, Bin Yu, Robert E. Kass
- 2009 IEEE International Conference on Acousticsâ€¦
- 2009

Information theory provides an attractive framework for attacking the neural coding problem. This entails estimating information theoretic quantities from neural spike train data. This paperâ€¦ (More)

We propose a Multivariate Gaussian Process Factor Model to estimate low dimensional spatio-temporal patterns of finger motion in repeated reach-tograsp movements. Our model decomposes and reduces theâ€¦ (More)

- Vincent Q. Vu, Bin Yu, Robert E. Kass
- Neural Computation
- 2009

Information estimates such as the direct method of Strong, Koberle, de Ruyter van Steveninck, and Bialek (1998) sidestep the difficult problem of estimating the joint distribution of response andâ€¦ (More)

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