List of works - Emmanuel Candès

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method

academic article

A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights ⬇️

scientific article published in January 2014

A Probabilistic and RIPless Theory of Compressed Sensing ⬇️

scholarly article from 'IEEE Transactions on Information Theory' published in 2011

A Singular Value Thresholding Algorithm for Matrix Completion

A modern maximum-likelihood theory for high-dimensional logistic regression

scientific article published on 01 July 2019

Achieving Equalized Odds by Resampling Sensitive Attributes ⬇️

scientific article published in November 2020

An Introduction To Compressive Sampling

Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]

Causal inference in genetic trio studies

scientific article published on 18 September 2020

Classification with Valid and Adaptive Coverage ⬇️

scientific article published in November 2020

Compressive Sampling [From the Guest Editors]

Compressive fluorescence microscopy for biological and hyperspectral imaging

scientific article

Conformal Prediction Under Covariate Shift ⬇️

Conformalized Quantile Regression ⬇️

Controlling the Rate of GWAS False Discoveries

scientific article published on 26 October 2016

Decoding by Linear Programming ⬇️

journal article from 'IEEE Transactions on Information Theory' published in 2005

Detecting highly oscillatory signals by chirplet path pursuit

Detection of an anomalous cluster in a network ⬇️

scholarly article from 'The Annals of Statistics' published in 2011

Dose optimization with first‐order total‐variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM‐RT) ⬇️

scientific article published on July 1, 2012

EigenPrism: inference for high dimensional signal-to-noise ratios

scientific article published on 16 September 2016

Enhancing Sparsity by Reweighted ℓ 1 Minimization

Exact Matrix Completion via Convex Optimization

scientific article published in 2009

Fast Discrete Curvelet Transforms

scientific article published in 2006

Gray and color image contrast enhancement by the curvelet transform

scientific article published on 01 January 2003

Hyperspectral fluorescence microscopy based on compressed sensing

Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning

scientific article published on July 2013

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

scientific article

Matrix Completion With Noise

article published in 2010

Multi-resolution localization of causal variants across the genome

scientific article published on 27 February 2020

NESTA: A Fast and Accurate First-Order Method for Sparse Recovery

article published in 2011

Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Publisher Correction: Multi-resolution localization of causal variants across the genome

scientific article published on 07 April 2020

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions

scientific article published in 2005

Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds

scientific article published in 2014

Robust principal component analysis?

article

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

article

SLOPE-ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION. ⬇️

scientific article published on January 2015

Single-photon sampling architecture for solid-state imaging sensors

scientific article published on 08 July 2013

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems ⬇️

scientific article published in January 2015

Sparsity and incoherence in compressive sampling

scientific article published in 2007

Stable Signal Recovery from Incomplete and Inaccurate Measurements

scientific article published in 2006

The Dantzig selector: Statistical estimation when p is much larger than n

scientific article published in 2007

The Power of Convex Relaxation: Near-Optimal Matrix Completion

The curvelet transform for image denoising.

scientific article

List of works by Emmanuel Candès

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method

A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights ⬇️

A Probabilistic and RIPless Theory of Compressed Sensing ⬇️

A Singular Value Thresholding Algorithm for Matrix Completion

A modern maximum-likelihood theory for high-dimensional logistic regression

Achieving Equalized Odds by Resampling Sensitive Attributes ⬇️

An Introduction To Compressive Sampling

Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]

Causal inference in genetic trio studies

Classification with Valid and Adaptive Coverage ⬇️

Compressive Sampling [From the Guest Editors]

Compressive fluorescence microscopy for biological and hyperspectral imaging

Conformal Prediction Under Covariate Shift ⬇️

Conformalized Quantile Regression ⬇️

Controlling the Rate of GWAS False Discoveries

Decoding by Linear Programming ⬇️

Detecting highly oscillatory signals by chirplet path pursuit

Detection of an anomalous cluster in a network ⬇️

Dose optimization with first‐order total‐variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM‐RT) ⬇️

EigenPrism: inference for high dimensional signal-to-noise ratios

Enhancing Sparsity by Reweighted ℓ 1 Minimization

Exact Matrix Completion via Convex Optimization

Fast Discrete Curvelet Transforms

Gray and color image contrast enhancement by the curvelet transform

Hyperspectral fluorescence microscopy based on compressed sensing

Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning

Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Matrix Completion With Noise

Multi-resolution localization of causal variants across the genome

NESTA: A Fast and Accurate First-Order Method for Sparse Recovery

Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Publisher Correction: Multi-resolution localization of causal variants across the genome

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions

Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds

Robust principal component analysis?

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

SLOPE-ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION. ⬇️

Single-photon sampling architecture for solid-state imaging sensors

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems ⬇️

Sparsity and incoherence in compressive sampling

Stable Signal Recovery from Incomplete and Inaccurate Measurements

The Dantzig selector: Statistical estimation when p is much larger than n

The Power of Convex Relaxation: Near-Optimal Matrix Completion

The curvelet transform for image denoising.