## 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

### 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.