Pradeep Ravikumar
Professor
Homepage:
http://www.cs.utexas.edu/~pradeepr/
Publications (34)
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers 2012
S. Negahban and P. Ravikumar and M. J. Wainwright and B. Yu
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods 2012
Christopher Johnson, Ali Jalali, and Pradeep Ravikumar
Information-theoretic lower bounds on the oracle complexity of convex optimization 2012
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Perturbation based Large Margin Approach for Ranking 2012
E. Yang and A. Tewari and P. Ravikumar
Encoding and Decoding V1 fMRI Responses to Natural Images with Sparse Nonparametric Models 2011
V. Vu and P. Ravikumar and T. Naselaris and K. Kay and J. Gallant and B. Yu
Greedy Algorithms for Structurally Constrained High Dimensional Problems 2011
A. Tewari and P. Ravikumar and I. Dhillon
High-dimensional covariance estimation by minimizing $ell_1$-penalized log-determinant divergence 2011
P. Ravikumar and M. J. Wainwright and G. Raskutti and B. Yu
Nearest Neighbor based Greedy Coordinate Descent 2011
I. Dhillon and P. Ravikumar and A. Tewari
On Learning Discrete Graphical Models using Greedy Methods 2011
Ali Jalali, and Christopher Johnson, and Pradeep Ravikumar
On Learning Discrete Graphical Models using Group-Sparse Regularization 2011
A. Jalali and P. Ravikumar and V. Vasuki and S. Sanghavi
On NDCG Consistency of Listwise Ranking Methods 2011
P. Ravikumar and A. Tewari and E. Yang
On the Use of Variational Inference for Learning Discrete Graphical Models 2011
E. Yang and P. Ravikumar
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation 2011
C.-J. Hsieh and M. Sustik and I. Dhillon and P. Ravikumar
A Dirty Model for Multi-task Learning 2010
A. Jalali and P. Ravikumar and S. Sanghavi and C. Ruan
Information-theoretic lower bounds on the oracle complexity of sparse convex optimization 2010
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Message-passing for graph-structured linear programs: proximal methods and rounding schemes 2010
P. Ravikumar and A. Agarwal and M. J. Wainwright
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers 2009
S. Negahban and P. Ravikumar and M. J. Wainwright and B. Yu
Information-theoretic lower bounds on the oracle complexity of convex optimization 2009
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Sparse Additive Models 2009
P. Ravikumar and J. Lafferty and H. Liu and L. Wasserman
Message-passing for graph-structured linear programs: Proximal projections, convergence and rounding schemes 2008
P. Ravikumar and A. Agarwal and M. J. Wainwright
Model selection in Gaussian graphical models: High-dimensional consistency of $ell_1$-regularized MLE 2008
P. Ravikumar and M. J. Wainwright and G. Raskutti and B. Yu
Nonparametric sparse hierarchical models describe V1 fmri responses to natural images 2008
P. Ravikumar and V. Vu and B. Yu and T. Naselaris and K. Kay and J. Gallant
Approximate inference, structure learning and feature estimation in Markov random fields 2007
P. Ravikumar
SpAM: sparse additive models 2007
P. Ravikumar and J. Lafferty and H. Liu and L. Wasserman
High-dimensional graph selection using $ell_1$-regularized logistic regression 2006
M. J. Wainwright and P. Ravikumar and J. Lafferty
Preconditioner approximations for probabilistic graphical models 2006
P. Ravikumar and J. Lafferty
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation 2006
P. Ravikumar and J. Lafferty
Comments: The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers 2005
W. W. Cohen and S. Fienberg and P. Ravikumar
A Hierarchical Graphical Model for Record Linkage 2004
P. Ravikumar and W. W. Cohen
A Secure Protocol for Computing String Distance Metrics 2004
P. Ravikumar and W. W. Cohen and S. E. Fienberg
Variational Chernoff bounds for graphical models 2004
P. Ravikumar and J. Lafferty
A Comparison of String Distance Metrics for Name-Matching Tasks 2003
W. W. Cohen and P. Ravikumar and S. Fienberg
A Comparison of String Metrics for Matching Names and Records 2003
W. W. Cohen and P. Ravikumar and S. Fienberg
Adaptive Name-Matching in Information Integration 2003
Mikhail Bilenko, William W. Cohen, Stephen Fienberg, Raymond J. Mooney, and Pradeep Ravikumar
Labs
Statistical Learning