Publications

2012

• A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers (pdf, software)
  S. Negahban, P. Ravikumar, M. Wainwright, B. Yu.
  Statistical Science 27(4), pp. 538-557, 2012.

2011

• High dimensional covariance estimation by minimizing l1-penalized log-determinant divergence (pdf, software)
  P. Ravikumar, M. Wainwright, B. Yu, G. Raskutti.
  Electronic Journal of Statistics (EJS) 5, pp. 935-980, 2011.
• Encoding and Decoding V1 fMRI Responses to Natural Images with Sparse Nonparametric Models (pdf, arXiv, software)
  V. Vu, P. Ravikumar, T. Naselaris, K. Kay, J. Gallant, B. Yu.
  Annals of Applied Statistics 5, pp. 1159-1182, 2011.

2008

• Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l1-Regularized MLE (pdf, software)
  P. Ravikumar, G. Raskutti, M. Wainwright, B. Yu.
  In Neural Information Processing Systems (NIPS), December 2008.
• Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images (pdf, software)
  P. Ravikumar, V. Vu, B. Yu, T. Naselaris, K. Kay, J. Gallant.
  In Neural Information Processing Systems (NIPS), December 2008.
• Single Index Convex Experts: Efficient Estimation via Adapted Bregman Losses (pdf, software)
  P. Ravikumar, M. Wainwright, B. Yu.
  Learning Workshop, Snowbird, 2008.