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All publications by Pradeep Ravikumar
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A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
En-hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar and Inderjit Dhillon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Vector-Space Markov Random Fields via Exponential Families
Wesley Tansey, Oscar Padilla, Arun S. Suggala and Pradeep Ravikumar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributional Rank Aggregation, and an Axiomatic Analysis
Adarsh Prasad, Harsh Pareek and Pradeep Ravikumar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
Eunho Yang, Aurelie Lozano and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Elementary Estimators for High-Dimensional Linear Regression
Eunho Yang, Aurelie Lozano and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar, Pradeep Ravikumar and Joydeep Ghosh
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Graphs with a Few Hubs
Rashish Tandon and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Admixture of Poisson MRFs: A Topic Model with Word Dependencies
David Inouye, Pradeep Ravikumar and Inderjit Dhillon
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


On Poisson Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


Dirty Statistical Models
Eunho Yang and Pradeep Ravikumar
Advances in Neural Information Processing Systems 26, 2013


Learning with Noisy Labels
Nagarajan Natarajan, Inderjit Dhillon, Pradeep Ravikumar and Ambuj Tewari
Advances in Neural Information Processing Systems 26, 2013


Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-jui Hsieh, Pradeep Ravikumar and Inderjit Dhillon
Advances in Neural Information Processing Systems 26, 2013


BIG \& QUIC: Sparse Inverse Covariance Estimation for a Million Variables
Cho-jui Hsieh, Matyas A. Sustik, Inderjit Dhillon, Pradeep Ravikumar and Russell Poldrack
Advances in Neural Information Processing Systems 26, 2013


Human Boosting
Harsh Pareek and Pradeep Ravikumar
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013