NIPS Proceedingsβ

Pradeep K. Ravikumar

14 Papers

  • A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation (2012)
  • Graphical Models via Generalized Linear Models (2012)
  • Greedy Algorithms for Structurally Constrained High Dimensional Problems (2011)
  • Nearest Neighbor based Greedy Coordinate Descent (2011)
  • On Learning Discrete Graphical Models using Greedy Methods (2011)
  • Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation (2011)
  • A Dirty Model for Multi-task Learning (2010)
  • A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers (2009)
  • Information-theoretic lower bounds on the oracle complexity of convex optimization (2009)
  • Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE (2008)
  • Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images (2008)
  • SpAM: Sparse Additive Models (2007)
  • High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression (2006)
  • Preconditioner Approximations for Probabilistic Graphical Models (2005)