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Pradeep Ravikumar, Ph.D. - Publications

Affiliations: 
2007 Carnegie Mellon University, Pittsburgh, PA 
Area:
statistical machine learning
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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Prasad A, Suggala AS, Balakrishnan S, Ravikumar P. Robust estimation via robust gradient estimation Journal of the Royal Statistical Society Series B-Statistical Methodology. 82: 601-627. DOI: 10.1111/Rssb.12364  0.416
2017 Inouye D, Yang E, Allen G, Ravikumar P. A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution. Wiley Interdisciplinary Reviews. Computational Statistics. 9. PMID 28983398 DOI: 10.1002/Wics.1398  0.321
2015 Li T, Prasad A, Ravikumar P. Fast classification rates for high-dimensional Gaussian generative models Advances in Neural Information Processing Systems. 2015: 1054-1062.  0.312
2015 Yang E, Lozano AC, Ravikumar P. Closed-form estimators for high-dimensional generalized linear models Advances in Neural Information Processing Systems. 2015: 586-594.  0.308
2014 Yang E, Lozano AC, Ravikumar P. Elementary estimators for high-dimensional linear regression 31st International Conference On Machine Learning, Icml 2014. 2: 1711-1722.  0.314
2014 Yang E, Lozano AC, Ravikumar P. Elementary estimators for sparse covariance matrices and other structured moments 31st International Conference On Machine Learning, Icml 2014. 2: 1723-1735.  0.302
2013 Jalali A, Ravikumar P, Sanghavi S. A dirty model for multiple sparse regression Ieee Transactions On Information Theory. 59: 7947-7968. DOI: 10.1109/Tit.2013.2280272  0.367
2013 Yang E, Tewari A, Ravikumar P. On robust estimation of high dimensional generalized linear models Ijcai International Joint Conference On Artificial Intelligence. 1834-1840.  0.312
2012 Negahban SN, Ravikumar P, Wainwright MJ, Yu B. A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers Statistical Science. 27: 538-557. DOI: 10.1214/12-Sts400  0.432
2012 Agarwal A, Bartlett PL, Ravikumar P, Wainwright MJ. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization Ieee Transactions On Information Theory. 58: 3235-3249. DOI: 10.1109/Tit.2011.2182178  0.347
2012 Johnson CC, Jalali A, Ravikumar P. High-dimensional sparse inverse covariance estimation using greedy methods Journal of Machine Learning Research. 22: 574-582.  0.366
2012 Yang E, Ravikumar P, Allen GI, Liu Z. Graphical models via generalized linear models Advances in Neural Information Processing Systems. 2: 1358-1366.  0.313
2011 Vu VQ, Ravikumar P, Naselaris T, Kay KN, Gallant JL, Yu B. ENCODING AND DECODING V1 FMRI RESPONSES TO NATURAL IMAGES WITH SPARSE NONPARAMETRIC MODELS. The Annals of Applied Statistics. 5: 1159-1182. PMID 22523529 DOI: 10.1214/11-Aoas476  0.37
2011 Ravikumar P, Wainwright MJ, Raskutti G, Yu B. High-dimensional covariance estimation by minimizing ℓ 1-penalized log-determinant divergence Electronic Journal of Statistics. 5: 935-980. DOI: 10.1214/11-Ejs631  0.419
2011 Hsieh CJ, Sustik MA, Dhillon IS, Ravikumar P. Sparse inverse covariance matrix estimation using quadratic approximation Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.324
2011 Yang E, Ravikumar P. On the use of variational inference for learning discrete graphical models Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1009-1016.  0.327
2010 Ravikumar P, Wainwright MJ, Lafferty JD. High-dimensional ising model selection using ℓ1-regularized logistic regression Annals of Statistics. 38: 1287-1319. DOI: 10.1214/09-Aos691  0.541
2009 Ravikumar P, Lafferty J, Liu H, Wasserman L. Sparse additive models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 1009-1030. DOI: 10.1111/J.1467-9868.2009.00718.X  0.535
2008 Ravikumar P. Approximate inference, structure learning and feature estimation in Markov random fields: thesis abstract Sigkdd Explorations. 10: 32-33. DOI: 10.1145/1540276.1540286  0.305
2006 Ravikumar P, Lafferty J. Quadratic programming relaxations for metric labeling and markov random field MAP estimation Acm International Conference Proceeding Series. 148: 737-744. DOI: 10.1145/1143844.1143937  0.475
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