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.
• Information-theoretic lower bounds on the oracle complexity of convex optimization (pdf, software)
  A. Agarwal, P. Bartlett, P. Ravikumar, M. Wainwright.
  IEEE Transactions on Information Theory 58(5), pp. 3235-3249, 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.

2010

• Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes (pdf, software)
  P. Ravikumar, A. Agarwal, M. Wainwright.
  Journal of Machine Learning Research (JMLR) 11, pp. 1043-1080, March 2010.
• High-dimensional Ising Model Selection using ℓ1-Regularized Logistic Regression (pdf, arXiv, software)
  P. Ravikumar, M. Wainwright, J. Lafferty.
  Annals of Statistics (Ann. Statist.) 38, pp. 1287-1319, 2010.

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.
• Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes (pdf, software)
  P. Ravikumar, A. Agarwal, M. Wainwright.
  In International Conference on Machine Learning (ICML), pp. 800-807, July 2008.
• Single Index Convex Experts: Efficient Estimation via Adapted Bregman Losses (pdf, software)
  P. Ravikumar, M. Wainwright, B. Yu.
  Learning Workshop, Snowbird, 2008.