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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
20482003
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
15452012
Learning with noisy labels
N Natarajan, I Dhillon, P Ravikumar, A Tewari
Advances in Neural Information Processing Systems (NIPS) 26, 1196-1204, 2013
13122013
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
11912010
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
10322011
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 íK, 2003
8532003
Sparse additive models
P Ravikumar, J Lafferty, H Liu, L Wasserman
Journal of the Royal Statistical Society: Series B (Statistical Methodology íK, 2009
8252009
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
8202018
Adaptive name matching in information integration
M Bilenko, R Mooney, W Cohen, P Ravikumar, S Fienberg
Intelligent Systems, IEEE 18 (5), 16-23, 2003
7552003
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
4902012
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
4812010
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
4292019
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
4292011
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
3362015
On completeness-aware concept-based explanations in deep neural networks
CK Yeh, B Kim, S Arik, CL Li, T Pfister, P Ravikumar
Advances in neural information processing systems 33, 20554-20565, 2020
294*2020
The risks of invariant risk minimization
E Rosenfeld, P Ravikumar, A Risteski
arXiv preprint arXiv:2010.05761, 2020
2782020
High-Dimensional Graphical Model Selection Using -Regularized Logistic Regression
MJ Wainwright, JD Lafferty, PK Ravikumar
Advances in neural information processing systems, 1465-1472, 2007
2662007
Learning sparse nonparametric dags
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
2502020
Representer point selection for explaining deep neural networks
CK Yeh, J Kim, IEH Yen, PK Ravikumar
Advances in neural information processing systems 31, 2018
2472018
Robust estimation via robust gradient estimation
A Prasad, AS Suggala, S Balakrishnan, P Ravikumar
Journal of the Royal Statistical Society Series B: Statistical Methodology íK, 2020
2412020
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