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All publications by Pradeep K. Ravikumar
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Fast Classification Rates for High-dimensional Gaussian Generative Models
Tianyang Li, Adarsh Prasad and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Nikhil Rao, Hsiang-fu Yu, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian E. Yen, Kai Zhong, Cho-jui Hsieh, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Consistent Multilabel Classification
Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I. Inouye, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


QUIC \& DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, Stephen Becker and Peder A. Olsen
Advances in Neural Information Processing Systems 27, 2014


On the Information Theoretic Limits of Learning Ising Models
Rashish Tandon, Karthikeyan Shanmugam, Pradeep K. Ravikumar and Alexandros G. Dimakis
Advances in Neural Information Processing Systems 27, 2014


Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
En-hsu Yen, Ting-wei Lin, Shou-de Lin, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Consistent Binary Classification with Generalized Performance Metrics
Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong, En-hsu Yen, Inderjit S. Dhillon and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Elementary Estimators for Graphical Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
David Inouye, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
En-hsu Yen, Cho-jui Hsieh, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


A Representation Theory for Ranking Functions
Harsh H. Pareek and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-jui Hsieh, Arindam Banerjee, Inderjit S. Dhillon and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 25, 2012


Graphical Models via Generalized Linear Models
Eunho Yang, Genevera Allen, Zhandong Liu and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 25, 2012


Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar and Mátyás A. Sustik
Advances in Neural Information Processing Systems 24, 2011


Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar and Ambuj Tewari
Advances in Neural Information Processing Systems 24, 2011


On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 24, 2011


Greedy Algorithms for Structurally Constrained High Dimensional Problems
Ambuj Tewari, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 24, 2011


On the Use of Variational Inference for Learning Discrete Graphical Model
Eunho Yang and Pradeep K. Ravikumar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 23, 2010


A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Sahand Negahban, Bin Yu, Martin J. Wainwright and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 22, 2009


Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J. Wainwright, Peter L. Bartlett and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 22, 2009


Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack Gallant and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 21, 2008


Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Garvesh Raskutti, Bin Yu, Martin J. Wainwright and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 21, 2008


SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 20, 2007


High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Martin J. Wainwright, John D. Lafferty and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 19, 2006


Preconditioner Approximations for Probabilistic Graphical Models
John D. Lafferty and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 18, 2005