Search results for "Pradeep D. Ravikumar"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar	Perturbation based Large Margin Approach for Ranking.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Christopher C. Johnson, Ali Jalali, Pradeep D. Ravikumar	High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alekh Agarwal, Peter L. Bartlett, Pradeep D. Ravikumar, Martin J. Wainwright	Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization.	IEEE Transactions on Information Theory	2012	DBLP DOI BibTeX RDF
1	Pradeep D. Ravikumar, Ambuj Tewari, Eunho Yang	On NDCG Consistency of Listwise Ranking Methods.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Ali Jalali, Pradeep D. Ravikumar, Vishvas Vasuki, Sujay Sanghavi	On Learning Discrete Graphical Models using Group-Sparse Regularization.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Christopher C. Johnson, Ali Jalali, Pradeep D. Ravikumar	High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods	CoRR	2011	DBLP BibTeX RDF
1	Ali Jalali, Christopher C. Johnson, Pradeep D. Ravikumar	On Learning Discrete Graphical Models Using Greedy Methods	CoRR	2011	DBLP BibTeX RDF
1	Ali Jalali, Pradeep D. Ravikumar, Sujay Sanghavi	A Dirty Model for Multiple Sparse Regression	CoRR	2011	DBLP BibTeX RDF
1	Eunho Yang, Pradeep D. Ravikumar	On the Use of Variational Inference for Learning Discrete Graphical Model.	ICML	2011	DBLP BibTeX RDF
1	Ali Jalali, Christopher C. Johnson, Pradeep D. Ravikumar	On Learning Discrete Graphical Models using Greedy Methods.	NIPS	2011	DBLP BibTeX RDF
1	Inderjit S. Dhillon, Pradeep D. Ravikumar, Ambuj Tewari	Nearest Neighbor based Greedy Coordinate Descent.	NIPS	2011	DBLP BibTeX RDF
1	Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep D. Ravikumar	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.	NIPS	2011	DBLP BibTeX RDF
1	Ambuj Tewari, Pradeep D. Ravikumar, Inderjit S. Dhillon	Greedy Algorithms for Structurally Constrained High Dimensional Problems.	NIPS	2011	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, Alekh Agarwal, Martin J. Wainwright	Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	Sahand Negahban, Pradeep D. Ravikumar, Martin J. Wainwright, Bin Yu	A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers	CoRR	2010	DBLP BibTeX RDF
1	Ali Jalali, Pradeep D. Ravikumar, Sujay Sanghavi, Chao Ruan	A Dirty Model for Multi-task Learning.	NIPS	2010	DBLP BibTeX RDF
1	Alina Beygelzimer, John Langford, Pradeep D. Ravikumar	Error-Correcting Tournaments	CoRR	2009	DBLP BibTeX RDF
1	Alina Beygelzimer, John Langford, Pradeep D. Ravikumar	Error-Correcting Tournaments.	ALT	2009	DBLP DOI BibTeX RDF
1	Sahand Negahban, Pradeep D. Ravikumar, Martin J. Wainwright, Bin Yu	A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers.	NIPS	2009	DBLP BibTeX RDF
1	Alekh Agarwal, Peter L. Bartlett, Pradeep D. Ravikumar, Martin J. Wainwright	Information-theoretic lower bounds on the oracle complexity of convex optimization.	NIPS	2009	DBLP BibTeX RDF
1	Pradeep D. Ravikumar	Approximate inference, structure learning and feature estimation in Markov random fields: thesis abstract.	SIGKDD Explorations	2008	DBLP DOI BibTeX RDF
1	Pradeep D. Ravikumar, Alekh Agarwal, Martin J. Wainwright	Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes.	ICML	2008	DBLP DOI BibTeX RDF
1	Pradeep D. Ravikumar, Garvesh Raskutti, Martin J. Wainwright, Bin Yu	Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l1-regularized MLE.	NIPS	2008	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant	Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images.	NIPS	2008	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman	SpAM: Sparse Additive Models.	NIPS	2007	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, John D. Lafferty	Quadratic programming relaxations for metric labeling and Markov random field MAP estimation.	ICML	2006	DBLP DOI BibTeX RDF
1	Martin J. Wainwright, Pradeep D. Ravikumar, John D. Lafferty	High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression.	NIPS	2006	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, John D. Lafferty	Preconditioner Approximations for Probabilistic Graphical Models.	NIPS	2005	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, William W. Cohen	A Hierarchical Graphical Model for Record Linkage.	UAI	2004	DBLP BibTeX RDF
1	Pradeep D. Ravikumar, John D. Lafferty	Variational Chernoff Bounds for Graphical Models.	UAI	2004	DBLP BibTeX RDF
1	Mikhail Bilenko, Raymond J. Mooney, William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg	Adaptive Name Matching in Information Integration.	IEEE Intelligent Systems	2003	DBLP DOI BibTeX RDF	machine learning, text mining, similarity measures, database integration
1	William W. Cohen, Pradeep D. Ravikumar, Stephen E. Fienberg	A Comparison of String Distance Metrics for Name-Matching Tasks.	IIWeb	2003	DBLP BibTeX RDF

Publications of "Pradeep D. Ravikumar" ( http://dblp.L3S.de/Authors/Pradeep_D._Ravikumar )