A Comparison of String Distance Metrics for Name-Matching Tasks. WW Cohen, P Ravikumar, SE Fienberg
IIWeb 3, 73-78, 2003
1919 2003 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers S Negahban, P Ravikumar, MJ Wainwright, B Yu
Statistical Science 27 (4), 538-557, 2012
1306 2012 High-dimensional Ising model selection using ℓ1-regularized logistic regression P Ravikumar, MJ Wainwright, JD Lafferty
The Annals of Statistics 38 (3), 1287-1319, 2010
1048 2010 Learning with noisy labels N Natarajan, I Dhillon, P Ravikumar, A Tewari
Advances in Neural Information Processing Systems (NIPS) 26, 1196-1204, 2013
917 2013 High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence P Ravikumar, MJ Wainwright, G Raskutti, B Yu
Electronic Journal of Statistics 5, 935-980, 2011
882 2011 A comparison of string metrics for matching names and records W Cohen, P Ravikumar, S Fienberg
Workshop on Data Cleaning, Record Linkage, and Object Consolidation at Int …, 2003
785 2003 Adaptive name matching in information integration M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg
Intelligent Systems, IEEE 18 (5), 16-23, 2003
722 2003 Sparse additive models P Ravikumar, J Lafferty, H Liu, L Wasserman
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
565 2009 A dirty model for multi-task learning A Jalali, P Ravikumar, S Sanghavi, C Ruan
Advances in Neural Information Processing Systems (NIPS) 23, 964-972, 2010
429 2010 Information-theoretic lower bounds on the oracle complexity of convex optimization A Agarwal, MJ Wainwright, PL Bartlett, P Ravikumar
IEEE Transactions on Information Theory 58 (5), 3235-3249, 2012
396 2012 Sparse inverse covariance matrix estimation using quadratic approximation CJ Hsieh, IS Dhillon, P Ravikumar, MA Sustik
Advances in Neural Information Processing Systems (NIPS) 24, 2330-2338, 2011
392 2011 Dags with no tears: Continuous optimization for structure learning X Zheng, B Aragam, PK Ravikumar, EP Xing
Advances in Neural Information Processing Systems 31, 2018
272 2018 High-Dimensional Graphical Model Selection Using MJ Wainwright, JD Lafferty, PK Ravikumar
Advances in neural information processing systems, 1465-1472, 2007
247 2007 Collaborative filtering with graph information: Consistency and scalable methods N Rao, HF Yu, PK Ravikumar, IS Dhillon
Advances in neural information processing systems 28, 2015
241 2015 BIG & QUIC: Sparse inverse covariance estimation for a million variables CJ Hsieh, MA Sustik, I Dhillon, P Ravikumar, R Poldrack
Advances in Neural Information Processing Systems (NIPS) 26, 3165-3173, 2013
207 2013 QUIC: quadratic approximation for sparse inverse covariance estimation. CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar
J. Mach. Learn. Res. 15 (1), 2911-2947, 2014
189 2014 Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification IEH Yen, X Huang, P Ravikumar, K Zhong, I Dhillon
International conference on machine learning, 3069-3077, 2016
173 2016 Robust estimation via robust gradient estimation A Prasad, AS Suggala, S Balakrishnan, P Ravikumar
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
169 2020 Graphical models via generalized linear models E Yang, P Ravikumar, GI Allen, Z Liu
Advances in Neural Information Processing Systems (NIPS) 25, 1358-1366, 2012
169 2012 On the (in) fidelity and sensitivity of explanations CK Yeh, CY Hsieh, A Suggala, DI Inouye, PK Ravikumar
Advances in Neural Information Processing Systems 32, 2019
167 * 2019 