Emmanuel Candès

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Emmanuel Candès is affiliated with the following schools: California Institute of Technology, Stanford University

Emmanuel Candès's AcademicInfluence.com Rankings

Emmanuel Candès

Mathematics

#268

World Rank

#580

Historical Rank

Applied Mathematics

#15

World Rank

#17

Historical Rank

Statistics

#48

World Rank

#66

Historical Rank

Measure Theory

#131

World Rank

#207

Historical Rank

mathematics Degrees

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Mathematics

Emmanuel Candès's Degrees

PhD Statistics Stanford University

Why Is Emmanuel Candès Influential?

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According to Wikipedia, Emmanuel Jean Candès is a French statistician. He is a professor of statistics and electrical engineering at Stanford University, where he is also the Barnum-Simons Chair in Mathematics and Statistics. Candès is a 2017 MacArthur Fellow.

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Emmanuel Candès's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information (2004) (15311)
An Introduction To Compressive Sampling (2008) (9223)
Stable signal recovery from incomplete and inaccurate measurements (2005) (7244)
Decoding by linear programming (2005) (7123)
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? (2004) (6813)
Robust principal component analysis? (2009) (6326)
Exact Matrix Completion via Convex Optimization (2008) (5538)
A Singular Value Thresholding Algorithm for Matrix Completion (2008) (5125)
Enhancing Sparsity by Reweighted ℓ1 Minimization (2007) (4714)
The restricted isometry property and its implications for compressed sensing (2008) (3706)
The Dantzig selector: Statistical estimation when P is much larger than n (2005) (3509)
Fast Discrete Curvelet Transforms (2006) (2641)
The curvelet transform for image denoising (2001) (2555)
The Power of Convex Relaxation: Near-Optimal Matrix Completion (2009) (2116)
Sparsity and incoherence in compressive sampling (2006) (2079)
Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges (2000) (1795)
New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities (2004) (1675)
Matrix Completion With Noise (2009) (1634)
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery (2009) (1210)
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming (2011) (1198)
Phase Retrieval via Wirtinger Flow: Theory and Algorithms (2014) (1124)
Towards a Mathematical Theory of Super‐resolution (2012) (1084)
11-magic : Recovery of sparse signals via convex programming (2005) (998)
Phase Retrieval via Matrix Completion (2011) (979)
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights (2014) (960)
Ridgelets: a key to higher-dimensional intermittency? (1999) (948)
Compressed Sensing with Coherent and Redundant Dictionaries (2010) (906)
Templates for convex cone problems with applications to sparse signal recovery (2010) (687)
Adaptive Restart for Accelerated Gradient Schemes (2012) (685)
Controlling the false discovery rate via knockoffs (2014) (610)
Gray and color image contrast enhancement by the curvelet transform (2003) (588)
A Probabilistic and RIPless Theory of Compressed Sensing (2010) (571)
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions (2004) (569)
Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements (2011) (563)
Low‐rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components (2015) (547)
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems (2015) (543)
Near-ideal model selection by ℓ1 minimization (2008) (538)
Stable Principal Component Pursuit (2010) (537)
Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection (2016) (460)
A Geometric Analysis of Subspace Clustering with Outliers (2011) (399)
An Introduction To Compressive Sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition] (2008) (399)
Super-Resolution from Noisy Data (2012) (383)
Recovering edges in ill-posed inverse problems: optimality of curvelet frames (2002) (342)
Compressive fluorescence microscopy for biological and hyperspectral imaging (2012) (332)
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction (2002) (315)
Continuous curvelet transform (2003) (308)
The curvelet representation of wave propagators is optimally sparse (2004) (306)
Phase Retrieval from Coded Diffraction Patterns (2013) (306)
Error correction via linear programming (2005) (301)
Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns (2012) (298)
Compressed Sensing With Quantized Measurements (2010) (296)
Continuous curvelet transform: II. Discretization and frames (2005) (284)
Signal recovery from random projections (2005) (276)
Harmonic Analysis of Neural Networks (1999) (275)
Astronomical image representation by the curvelet transform (2003) (271)
New tight frames of curvelets and optimal representations of objects with C² singularities (2002) (265)
Continuous Curvelet Transform : I . Resolution of the Wavefront Set (2003) (256)
SLOPE-ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION. (2014) (251)
Conformalized Quantile Regression (2019) (240)
Curvelets, multiresolution representation, and scaling laws (2000) (233)
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators (2012) (208)
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism (2010) (206)
A modern maximum-likelihood theory for high-dimensional logistic regression (2018) (186)
Highly Robust Error Correction byConvex Programming (2006) (183)
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements (2010) (182)
Detection of an anomalous cluster in a network (2010) (181)
Predictive inference with the jackknife+ (2019) (161)
Conformal Prediction Under Covariate Shift (2019) (161)
3D discrete curvelet transform (2005) (161)
False Discoveries Occur Early on the Lasso Path (2015) (154)
A knockoff filter for high-dimensional selective inference (2016) (139)
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax (2015) (136)
The limits of distribution-free conditional predictive inference (2019) (136)
A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators (2008) (135)
On the Fundamental Limits of Adaptive Sensing (2011) (134)
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments (2012) (133)
Exact low-rank matrix completion via convex optimization (2008) (126)
Applications of Sparse Representation and Compressive Sensing (2010) (125)
Curvelets and Fourier Integral Operators (2003) (122)
Super-Resolution of Positive Sources: The Discrete Setup (2015) (121)
Compressed sensing and robust recovery of low rank matrices (2008) (118)
Curvelets and Curvilinear Integrals (2001) (115)
Modern statistical estimation via oracle inequalities (2006) (115)
Searching for a trail of evidence in a maze (2007) (110)
Very high quality image restoration by combining wavelets and curvelets (2001) (110)
How well can we estimate a sparse vector? (2011) (108)
Statistical estimation and testing via the sorted L1 norm (2013) (105)
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression (2018) (102)
Fast Computation of Fourier Integral Operators (2006) (101)
Classification with Valid and Adaptive Coverage (2020) (98)
Detecting highly oscillatory signals by chirplet path pursuit (2006) (98)
Deep Knockoffs (2018) (97)
Compressive Sampling [From the Guest Editors] (2008) (97)
Controlling the Rate of GWAS False Discoveries (2016) (97)
The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square (2017) (96)
Simple bounds for recovering low-complexity models (2011) (88)
Dense error correction for low-rank matrices via Principal Component Pursuit (2010) (88)
Gene hunting with hidden Markov model knockoffs (2018) (88)
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition (2012) (87)
Robust inference with knockoffs (2018) (86)
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences (2016) (85)
Ridgelets: estimating with ridge functions (2003) (79)
Design and implementation of a fully integrated compressed-sensing signal acquisition system (2012) (75)
Monoscale Ridgelets for the Representation of Images with Edges (70)
People Hearing Without Listening : ” An Introduction To Compressive Sampling (2007) (68)
Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds (2013) (68)
EigenPrism: inference for high dimensional signal‐to‐noise ratios (2015) (67)
Mathematics of Sparsity (and a Few Other Things) (2014) (65)
A 100MHz–2GHz 12.5x sub-Nyquist rate receiver in 90nm CMOS (2012) (62)
Robust principal component analysis?: Recovering low-rank matrices from sparse errors (2010) (62)
Multi-resolution localization of causal variants across the genome (2019) (62)
SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES (2007) (62)
Ridgelets and the Representation of Mutilated Sobolev Functions (2001) (60)
Super-resolution via Transform-Invariant Group-Sparse Regularization (2013) (53)
What is...a Curvelet (2003) (52)
Conformal inference of counterfactuals and individual treatment effects (2020) (52)
A comparison of some conformal quantile regression methods (2019) (52)
Robust Signal Recovery from Incomplete Observations (2006) (52)
Adaptive Conformal Inference Under Distribution Shift (2021) (51)
The phase flow method (2006) (50)
Metropolized Knockoff Sampling (2019) (48)
Testing for outliers with conformal p-values (2021) (47)
Digital Implementation of Ridgelet Packets (2003) (46)
Fast geodesics computation with the phase flow method (2006) (44)
Conformal prediction beyond exchangeability (2022) (43)
Gene Hunting with Knockoffs for Hidden Markov Models (2017) (43)
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control (2021) (43)
With Malice Towards None: Assessing Uncertainty via Equalized Coverage (2019) (42)
Causal inference in genetic trio studies (2020) (38)
Discussion: Latent variable graphical model selection via convex optimization (2012) (37)
Curvelets and reconstruction of images from noisy radon data (2000) (34)
Holographic phase retrieval and reference design (2019) (33)
Inverse Problems Sparsity and incoherence in compressive sampling (2007) (31)
A Power and Prediction Analysis for Knockoffs with Lasso Statistics (2017) (30)
Conformalized Survival Analysis. (2021) (30)
Encoding the ` p Ball from Limited Measurements (2006) (27)
Encoding the /spl lscr//sub p/ ball from limited measurements (2006) (25)
False discovery rate control in genome-wide association studies with population structure (2021) (24)
Ridgelets and their Derivatives: Representation of Images with Edges (2000) (23)
Simple Bounds for Low-complexity Model Reconstruction (2011) (23)
Achieving Equalized Odds by Resampling Sensitive Attributes (2020) (22)
Stable signal recovery from incomplete observations (2005) (20)
Sensitivity analysis of individual treatment effects: A robust conformal inference approach (2021) (19)
Derandomizing Knockoffs. (2020) (17)
A Power Analysis for Knockoffs with the Lasso Coefficient-Difference Statistic (2020) (17)
Knockoffs with side information (2020) (16)
Single-photon sampling architecture for solid-state imaging sensors (2012) (14)
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance (2020) (14)
Motion-guided low-rank plus sparse (L+S) reconstruction for free-breathing dynamic MRI (2013) (13)
Multiscale Chirplets and Near-Optimal Recovery of Chirps (2002) (13)
Dose optimization with first-order total-variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT). (2012) (13)
Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’ (2019) (11)
New Ties between Computational Harmonic Analysis and Approximation Theory (2002) (11)
Searching for consistent associations with a multi-environment knockoff filter (2021) (10)
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts (2022) (10)
Low-rank + sparse (L+S) reconstruction for accelerated dynamic MRI with seperation of background and dynamic components (2013) (9)
Distribution-free conditional median inference (2021) (8)
Controlling the false discovery rate in GWAS with population structure (2020) (8)
Accurate low-rank matrix recovery from a small number of linear measurements (2009) (8)
Phase Retrieval from masked Fourier transforms (2013) (8)
Compressive sensing: Principles and hardware implementations (2013) (8)
J an 2 00 8 Near-ideal model selection by l 1 minimization (2008) (8)
FDR control in GWAS with population structure (2020) (6)
STATISTICAL ESTIMATION AND TESTING VIA THE ORDERED l 1 NORM By Małgorzata (2013) (5)
Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning. (2013) (5)
A fast and accurate first-order algorithm for compressed sensing (2009) (5)
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions (2007) (4)
Comments on Michael Jordan’s Essay “The AI Revolution Hasn’t Happened Yet" (2019) (4)
Dose optimization with first-order total-variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT). (2012) (4)
Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets (2020) (4)
Dual-Reference Design for Holographic Coherent Diffraction Imaging (2019) (4)
Dual-Reference Design for Holographic Phase Retrieval (2019) (4)
Gravitational wave detection using multiscale chirplets (2008) (4)
Curvelets , Warpings , and Optimal Representations of Fourier Integral Operators (2002) (3)
CONTROLLING THE FALSE DISCOVERY RATE VIA KNOCKOFFS BY RINA (2015) (3)
Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studies (2021) (3)
The power of convex relaxation: the surprising stories of matrix completion and compressed sensing (2010) (3)
Image Reconstruction With Ridgelets (2003) (3)
On the construction of knockoffs in case–control studies (2018) (3)
Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds (2014) (3)
TFOCS v 1 . 2 user guide (2012) (2)
Session TA1b: Compressive sensing (2008) (2)
Publisher Correction: Multi-resolution localization of causal variants across the genome (2020) (2)
From subspace clustering to full-rank matrix completion (2)
Selection by Prediction with Conformal p-values (2022) (2)
Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra (2020) (2)
The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square (2019) (1)
An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models (2022) (1)
Geometrical Multiscale Analysis: Applications to Scientific Computing and Partial Differential Equations (2006) (1)
Deploying the Conditional Randomization Test in High Multiplicity Problems (2021) (1)
Error correction and convex programming (2007) (1)
A single-photon sampling architecture for solid-state imaging (2012) (1)
Multiscale Geometric Analysis: Theory, Applications, and Opportunities (2005) (1)
Supplementary material to “Panning for gold: Model-X knock- offs for high-dimensional controlled variable selection” (2017) (1)
Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns (2013) (1)
Curvelets and Wave Equations: Theory and Potential for Scientific Computing (2005) (1)
Permutation tests using arbitrary permutation distributions (2022) (1)
Hyperspectral fluorescence microscopy based on compressed sensing (2012) (1)
ar X iv : 0 80 6 . 44 17 v 1 [ gr-q c ] 2 7 Ju n 20 08 Gravitational wave detection using multiscale chirplets (2008) (0)
Challenges in Geometry , Analysis and Computation : High Dimensional Synthesis (2012) (0)
Implementation of Spectrum Sensing Techniques in Cognitive Radio Networks (2017) (0)
THE THEORY OF CS ASSERTS THAT ONE CAN COMBINE “ LOW-RATE SAMPLING ” WITH COMPUTATIONAL POWER FOR EFFICIENT AND ACCURATE SIGNAL ACQUISITION (2009) (0)
PNAS Plus Significance Statements (2013) (0)
Compressive Sampling: Sense-Less but Smart! (2007) (0)
Efficient representation of object classes with applications to inverse problems (2001) (0)
Low-rank plus sparse spatiotemporal MRI: Acceleration, background suppression, and motion learning (2016) (0)
Simple bounds for recovering low-complexity models (2012) (0)
Predictions about the choices of those who may take part in choosing such items as movies for rent can be accurately made with a relatively small number of examples. (2010) (0)
Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions (2022) (0)
Multi-resolution localization of causal variants across the genome (2020) (0)
Discussion of Gene Hunting with Hidden Markov Model Knockoffs (2018) (0)
A Short Tour of Compressive Sensing (2014) (0)
Supplementary Material for Deep Knockoﬀs (2019) (0)
Supplementary Material for “Predictive Inference with the Jackknife+” (2021) (0)
Image De-noising and Enhancement – A Comparative Study on Ultrasound TOFD Scans (2020) (0)
Problem Statement : Underdetermined , Approximately Sparse , Noise (2005) (0)
Super-Resolution from Noisy Data (2013) (0)
Information Dynamics as Foundation for Network Management (2014) (0)
2019 IEEE Information Theory Society Paper Award (2020) (0)
A Discussion of Tse and Davidson (2022) “A Note on Universal Inference” (2023) (0)
What Ron DeVore Means to Me (2023) (0)
Elements of Modern Signal Processing Lecture 4 — January 14 , 2016 Prof (2016) (0)
GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies (2022) (0)
Hyperspectral fluorescence microscopy based on Compressive Sampling (2013) (0)
Applied Harmonic Analysis, Massive Data Sets, Machine Learning, and Signal Processing (2016) (0)
Permutation tests without subgroups (2022) (0)
Generalized permutation tests (2022) (0)
Research Statement Overview: My Research Interests Lie in Harmonic Analysis, Focusing on Sparse and Op- Timally Redundant Representation Systems. Recent Discoveries in Compressed Sensing By (2009) (0)
Curvelets and Wave Equations Tutorial lecture notes MGA Program, IPAM, UCLA (2004) (0)
Stats 300 C : Theory of Statistics Spring 2017 Lecture 7 — April 17 , 2017 (2017) (0)
Stats 300 C : Theory of Statistics Spring 2017 Lecture 13 — May 1 , 2017 (2017) (0)
A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics (2020) (0)
Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron (2020) (0)
JMM 2019 Lecture Sampler (2019) (0)
1 2 Fe b 20 18 Robust inference with knockoffs (2018) (0)
Publisher Correction: Multi-resolution localization of causal variants across the genome (2020) (0)
Gray and Color Image C . ontrast Enhanceme 11 t by the Cllrvelet Transform (2009) (0)
Sorted L1 Penalized Estimation [R package SLOPE version 0.3.2] (2020) (0)
Sparse random structures: Analysis and Computations (2010) (0)
ST ] 3 0 N ov 2 00 6 Sparsity and Incoherence in Compressive Sampling (2018) (0)
Submitted to the Annals of Statistics ROBUST INFERENCE WITH KNOCKOFFS By Rina (2019) (0)
De Finetti's Theorem and Related Results for Infinite Weighted Exchangeable Sequences (2023) (0)
Sailing through Data: Discoveries and Mirages (2019) (0)
Tractable Evaluation of Stein's Unbiased Risk Estimator with Convex Regularizers (2022) (0)
Adaptive Restart for Accelerated Gradient Schemes (2013) (0)

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What Schools Are Affiliated With Emmanuel Candès?

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Emmanuel Candès's Published Works

Published Works

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What Schools Are Affiliated With Emmanuel Candès?

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Emmanuel Candès's AcademicInfluence.com Rankings