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List of works by Pradeep K. Ravikumar

A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery

scientific article published on January 2016

A Dirty Model for Multi-task Learning

A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation

scientific article published in January 2012

A Representation Theory for Ranking Functions

scientific article published in January 2014

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution

scientific article published on 28 March 2017

A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers

scientific article published in January 2009

BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables

Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs

scientific article published on December 2015

Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs

scientific article published in January 2014

Closed-form Estimators for High-dimensional Generalized Linear Models

Collaborative Filtering with Graph Information: Consistency and Scalable Methods

Conditional Random Fields via Univariate Exponential Families

Connecting Optimization and Regularization Paths

Consistent Binary Classification with Generalized Performance Metrics

scientific article published in January 2014

Consistent Multilabel Classification

Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings

scientific article published in January 2014

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Dirty Statistical Models

Dual Decomposed Learning with Factorwise Oracles for Structural SVM of Large Output Domain

scientific article published in January 2016

ENCODING AND DECODING V1 FMRI RESPONSES TO NATURAL IMAGES WITH SPARSE NONPARAMETRIC MODELS.

scientific article published on June 2011

Elementary Estimators for Graphical Models

scientific article published in January 2014

Fast Classification Rates for High-dimensional Gaussian Generative Models

Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial

Game Design for Eliciting Distinguishable Behavior

Graphical Models via Generalized Linear Models

scientific article published in January 2012

Graphical Models via Univariate Exponential Family Distributions

scientific article

Greedy Algorithms for Structurally Constrained High Dimensional Problems

scientific article published in January 2011

Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain

scientific article published on April 2017

High-Dimensional Graphical Model Selection Using ℓ1-Regularized Logistic Regression

scientific article published in January 2007

Information-theoretic lower bounds on the oracle complexity of convex optimization

scientific article published in January 2009

Large Scale Distributed Sparse Precision Estimation

Learning with Noisy Labels

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization

Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of ℓ1-regularized MLE

scientific article published in January 2009

Nearest Neighbor based Greedy Coordinate Descent

scientific article published in January 2011

Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images

article by Vincent Q. Vu et al published 2009 in Advances in Neural Information Processing Systems 21

On Human-Aligned Risk Minimization

scientific article published in January 2019

On Learning Discrete Graphical Models using Greedy Methods

scientific article published in January 2011

On Poisson Graphical Models

On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models

scientific article published in January 2017

On the (In)fidelity and Sensitivity of Explanations

scientific article published in January 2019

On the Information Theoretic Limits of Learning Ising Models

scientific article published in January 2014

Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation

Preconditioner Approximations for Probabilistic Graphical Models

scientific article published in January 2006

Predicting growth conditions from internal metabolic fluxes in an in-silico model of E. coli

scientific article published on 12 December 2014

Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators

scientific article published in January 2014

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models

scientific article published in January 2014

Representer Point Selection for Explaining Deep Neural Networks

SHAPE BASED IMAGE RECONSTRUCTION USING LINEARIZED DEFORMATIONS.

scientific article published on February 2017

Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition

scientific article published on April 2017

SpAM: Sparse Additive Models

scientific article published in January 2008

Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation

scientific article published in January 2011

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent

Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space

scientific article published in January 2014

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

scientific article published on June 2016

The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities

scientific article published in January 2017

The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models