Follow
Pradeep Ravikumar
Pradeep Ravikumar
Professor, School of Computer Science, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
A Comparison of String Distance Metrics for Name-Matching Tasks.
WW Cohen, P Ravikumar, SE Fienberg
IIWeb 3, 73-78, 2003
19362003
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
13682012
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
10782010
Learning with noisy labels
N Natarajan, I Dhillon, P Ravikumar, A Tewari
Advances in Neural Information Processing Systems (NIPS) 26, 1196-1204, 2013
9892013
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
9212011
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
7972003
Adaptive name matching in information integration
M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg
Intelligent Systems, IEEE 18 (5), 16-23, 2003
7252003
Sparse additive models
P Ravikumar, J Lafferty, H Liu, L Wasserman
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
5802009
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
4392010
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
4142012
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
4052011
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
3592018
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
2602015
High-Dimensional Graphical Model Selection Using -Regularized Logistic Regression
MJ Wainwright, JD Lafferty, PK Ravikumar
Advances in neural information processing systems, 1465-1472, 2007
2522007
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
2172019
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
2122013
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
1982014
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
1882020
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
1852016
Graphical models via univariate exponential family distributions
E Yang, P Ravikumar, GI Allen, Z Liu
The Journal of Machine Learning Research 16 (1), 3813-3847, 2015
1722015
The system can't perform the operation now. Try again later.
Articles 1–20