Emmanuel J. Candès

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All published works

Action	Title	Year	Authors
+ PDF Chat	Posterior Conformal Prediction	2024	Yao Zhang Emmanuel J. Candès
+	Second-order group knockoffs with applications to GWAS	2024	Benjamin B. Chu Jiaqi Gu Zhaomeng Chen Tim Morrison Emmanuel J. Candès Zihuai He Chiara Sabatti
+ PDF Chat	RandALO: Out-of-sample risk estimation in no time flat	2024	Parth Nobel Daniel LeJeune Emmanuel J. Candès
+ PDF Chat	Can Unconfident LLM Annotations Be Used for Confident Conclusions?	2024	Kristina Gligorić Tijana Zrnic Cinoo Lee Emmanuel J. Candès Dan Jurafsky
+	De Finetti’s theorem and related results for infinite weighted exchangeable sequences	2024	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+ PDF Chat	Large language model validity via enhanced conformal prediction methods	2024	John J. Cherian Isaac Gibbs Emmanuel J. Candès
+ PDF Chat	Boosted Conformal Prediction Intervals	2024	Ran Xie Rina Foygel Barber Emmanuel J. Candès
+ PDF Chat	The mosaic permutation test: an exact and nonparametric goodness-of-fit test for factor models	2024	Asher Spector Rina Foygel Barber Trevor Hastie Ronald N. Kahn Emmanuel J. Candès
+ PDF	Cross-prediction-powered inference	2024	Tijana Zrnic Emmanuel J. Candès
+ PDF Chat	Active Statistical Inference	2024	Tijana Zrnic Emmanuel J. Candès
+ PDF Chat	A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features	2024	Emi Zeger Yifei Wang Aaron Mishkin Tolga Ergen Emmanuel J. Candès Mert Pilancı
+ PDF Chat	Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression.	2024	Zhaomeng Chen Zihuai He Benjamin B. Chu Jiaqi Gu Tim Morrison Chiara Sabatti Emmanuel J. Candès
+ PDF Chat	Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series	2024	Zitong Yang Emmanuel J. Candès Lihua Lei
+ PDF	Permutation Tests Using Arbitrary Permutation Distributions	2023	Aaditya Ramdas Rina Foygel Barber Emmanuel J. Candès Ryan J. Tibshirani
+	A power analysis for model-X knockoffs with ℓp-regularized statistics	2023	Asaf Weinstein Weijie Su Małgorzata Bogdan Rina Foygel Barber Emmanuel J. Candès
+ PDF Chat	Knockoffs with side information	2023	Zhimei Ren Emmanuel J. Candès
+	An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models	2023	Qian Zhao Emmanuel J. Candès
+ PDF	Conformal prediction beyond exchangeability	2023	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Sensitivity analysis of individual treatment effects: A robust conformal inference approach	2023	Ying Jin Zhimei Ren Emmanuel J. Candès
+ PDF Chat	Testing for outliers with conformal p-values	2023	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+ PDF	Conformalized survival analysis	2023	Emmanuel J. Candès Lihua Lei Zhimei Ren
+	A Discussion of “A Note on Universal Inference” by Tse and Davison	2023	Asher Spector Emmanuel J. Candès Lihua Lei
+	De Finetti's theorem and related results for infinite weighted exchangeable sequences	2023	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Statistical Inference for Fairness Auditing	2023	John J. Cherian Emmanuel J. Candès
+	Conformal Prediction With Conditional Guarantees	2023	Isaac Gibbs John J. Cherian Emmanuel J. Candès
+	Uncertainty Quantification over Graph with Conformalized Graph Neural Networks	2023	Kexin Huang Ying Jin Emmanuel J. Candès Jure Leskovec
+	Tight Distribution-Free Confidence Intervals for Local Quantile Regression	2023	Jayoon Jang Emmanuel J. Candès
+	Model-free selective inference under covariate shift via weighted conformal p-values	2023	Ying Jin Emmanuel J. Candès
+	Conformal PID Control for Time Series Prediction	2023	Anastasios N. Angelopoulos Emmanuel J. Candès Ryan J. Tibshirani
+	Cross-Prediction-Powered Inference	2023	Tijana Zrnic Emmanuel J. Candès
+	Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers	2023	Parth Nobel Emmanuel J. Candès Stephen Boyd
+	Second-order group knockoffs with applications to GWAS	2023	Benjamin B. Chu Jiaqi Gu Zhaomeng Chen Tim Morrison Emmanuel J. Candès Zihuai He Chiara Sabatti
+ PDF Chat	The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance	2022	Qian Zhao Pragya Sur Emmanuel J. Candès
+	Conformal prediction beyond exchangeability	2022	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Permutation tests using arbitrary permutation distributions	2022	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models	2022	Qian Zhao Emmanuel J. Candès
+	Selection by Prediction with Conformal p-values	2022	Ying Jin Emmanuel J. Candès
+	Conformal Inference for Online Prediction with Arbitrary Distribution Shifts	2022	Isaac Gibbs Emmanuel J. Candès
+	Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers	2022	Parth Nobel Emmanuel J. Candès Stephen Boyd
+	Searching for robust associations with a multi-environment knockoff filter	2021	Shuangning Li Matteo Sesia Yaniv Romano Emmanuel J. Candès Chiara Sabatti
+ PDF Chat	Conformal Inference of Counterfactuals and Individual Treatment Effects	2021	Lihua Lei Emmanuel J. Candès
+ PDF	Derandomizing Knockoffs	2021	Zhimei Ren Yuting Wei Emmanuel J. Candès
+	Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets	2021	Charmaine Chia Matteo Sesia Chi-Sing Ho Stefanie S. Jeffrey Jennifer A. Dionne Emmanuel J. Candès Roger T. Howe
+	Adaptive Conformal Inference Under Distribution Shift	2021	Isaac Gibbs Emmanuel J. Candès
+	Adaptive Conformal Inference Under Distribution Shift	2021	Isaac Gibbs Emmanuel J. Candès
+	Multiple Outlier Testing with Conformal p-values	2021	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+	Sorted L1 Penalized Estimation [R package SLOPE version 0.3.3]	2021	Johan Larsson John Wallin Małgorzata Bogdan E. van den Berg Chiara Sabatti Emmanuel J. Candès Evan Patterson Weijie Su
+	Distribution-Free Conditional Median Inference	2021	Dhruv Medarametla Emmanuel J. Candès
+ PDF	Predictive inference with the jackknife+	2021	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Searching for consistent associations with a multi-environment knockoff filter	2021	Shuangning Li Matteo Sesia Yaniv Romano Emmanuel J. Candès Chiara Sabatti
+ PDF	Distribution-free conditional median inference	2021	Dhruv Medarametla Emmanuel J. Candès
+	Deploying the Conditional Randomization Test in High Multiplicity Problems	2021	Shuangning Li Emmanuel J. Candès
+	Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control	2021	Anastasios N. Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei
+	Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach	2021	Ying Jin Zhimei Ren Emmanuel J. Candès
+	Adaptive Conformal Inference Under Distribution Shift	2021	Isaac Gibbs Emmanuel J. Candès
+	Testing for Outliers with Conformal p-values	2021	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+	Distribution-Free Conditional Median Inference	2021	Dhruv Medarametla Emmanuel J. Candès
+	Conformalized Survival Analysis	2021	Emmanuel J. Candès Lihua Lei Zhimei Ren
+	Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron	2020	Emmanuel J. Candès Chiara Sabatti
+ PDF	Causal inference in genetic trio studies	2020	Stephen Bates Matteo Sesia Chiara Sabatti Emmanuel J. Candès
+ PDF Chat	The limits of distribution-free conditional predictive inference	2020	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	A Power Analysis for Knockoffs with the Lasso Coefficient-Difference Statistic	2020	Asaf Weinstein Weijie Su Małgorzata Bogdan Rina Foygel Barber Emmanuel J. Candès
+	Sorted L1 Penalized Estimation [R package SLOPE version 0.3.2]	2020	Johan Larsson John Wallin Małgorzata Bogdan E. van den Berg Chiara Sabatti Emmanuel J. Candès Evan Patterson Weijie Su
+	Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra	2020	Charmaine Chia Matteo Sesia Chi-Sing Ho Stefanie S. Jeffrey Jennifer A. Dionne Emmanuel J. Candès Roger T. Howe
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+ PDF	Robust inference with knockoffs	2020	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+	Discussion of the Paper “Prediction, Estimation, and Attribution” by B. Efron	2020	Emmanuel J. Candès Chiara Sabatti
+ PDF Chat	Metropolized Knockoff Sampling	2020	Stephen Bates Emmanuel J. Candès Lucas Janson Wenshuo Wang
+ PDF	The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression	2020	Emmanuel J. Candès Pragya Sur
+	Knockoffs with Side Information	2020	Zhimei Ren Emmanuel J. Candès
+	Achieving Equalized Odds by Resampling Sensitive Attributes	2020	Yaniv Romano Stephen Bates Emmanuel J. Candès
+	Conformal Inference of Counterfactuals and Individual Treatment Effects	2020	Lihua Lei Emmanuel J. Candès
+	Achieving Equalized Odds by Resampling Sensitive Attributes	2020	Yaniv Romano Stephen Bates Emmanuel J. Candès
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+ PDF Chat	A comparison of some conformal quantile regression methods	2020	Matteo Sesia Emmanuel J. Candès
+	Derandomizing Knockoffs	2020	Zhimei Ren Yuting Wei Emmanuel J. Candès
+	A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics	2020	Asaf Weinstein Weijie Su Małgorzata Bogdan Rina Foygel Barber Emmanuel J. Candès
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+	The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance	2020	Qian Zhao Pragya Sur Emmanuel J. Candès
+ PDF Chat	Deep Knockoffs	2019	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+	A knockoff filter for high-dimensional selective inference	2019	Rina Foygel Barber Emmanuel J. Candès
+ PDF	A modern maximum-likelihood theory for high-dimensional logistic regression	2019	Pragya Sur Emmanuel J. Candès
+	Dual-Reference Design for Holographic Phase Retrieval	2019	David A. Barmherzig Ju Sun Emmanuel J. Candès Thomas J. Lane Po-Nan Li
+ PDF Chat	Holographic phase retrieval and reference design	2019	David A. Barmherzig Ju Sun Po-Nan Li Thomas J. Lane Emmanuel J. Candès
+	Predictive inference with the jackknife	2019	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès
+	Conformal Prediction Under Covariate Shift	2019	Ryan J. Tibshirani Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas
+	The limits of distribution-free conditional predictive inference	2019	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Dual-Reference Design for Holographic Coherent Diffraction Imaging.	2019	David A. Barmherzig Ju Sun Emmanuel J. Candès Thomas J. Lane Po-Nan Li
+ PDF Chat	The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square	2019	Pragya Sur Yuxin Chen Emmanuel J. Candès
+	Holographic Phase Retrieval and Optimal Reference Design.	2019	David A. Barmherzig Ju Sun Emmanuel J. Candès Thomas J. Lane Po-Nan Li
+ PDF	On the construction of knockoffs in case–control studies	2019	Rina Foygel Barber Emmanuel J. Candès
+	With Malice Towards None: Assessing Uncertainty via Equalized Coverage	2019	Yaniv Romano Rina Foygel Barber Chiara Sabatti Emmanuel J. Candès
+	The limits of distribution-free conditional predictive inference	2019	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Predictive inference with the jackknife+	2019	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès
+	Conformal Prediction Under Covariate Shift	2019	Ryan J. Tibshirani Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas
+	Dual-Reference Design for Holographic Coherent Diffraction Imaging	2019	David A. Barmherzig Ju Sun Emmanuel J. Candès T. J. Lane Po-Nan Li
+	On the Construction of Knockoffs in Case-Control Studies	2018	Rina Foygel Barber Emmanuel J. Candès
+ PDF Chat	Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès
+ PDF Chat	The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences	2018	Yuxin Chen Emmanuel J. Candès
+ PDF Chat	Gene hunting with hidden Markov model knockoffs	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès
+	The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression	2018	Emmanuel J. Candès Pragya Sur
+	A modern maximum-likelihood theory for high-dimensional logistic regression	2018	Pragya Sur Emmanuel J. Candès
+	Robust inference with knockoffs	2018	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+ PDF	Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection	2018	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv
+	Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection	2018	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv
+	On the Construction of Knockoffs in Case-Control Studies	2018	Rina Foygel Barber Emmanuel J. Candès
+	The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression	2018	Emmanuel J. Candès Pragya Sur
+	Robust inference with knockoffs	2018	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+	A Power and Prediction Analysis for Knockoffs with Lasso Statistics	2017	Asaf Weinstein Rina Foygel Barber Emmanuel J. Candès
+	False discoveries occur early on the Lasso path	2017	Weijie Su Małgorzata Bogdan Emmanuel J. Candès
+	The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square	2017	Pragya Sur Yuxin Chen Emmanuel J. Candès
+	A Power and Prediction Analysis for Knockoffs with Lasso Statistics	2017	Asaf Weinstein Rina Foygel Barber Emmanuel J. Candès
+	The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square	2017	Pragya Sur Yuxin Chen Emmanuel J. Candès
+ PDF	EigenPrism: Inference for High Dimensional Signal-to-Noise Ratios	2016	Lucas Janson Rina Foygel Barber Emmanuel J. Candès
+	SLOPE is adaptive to unknown sparsity and asymptotically minimax	2016	Weijie Su Emmanuel J. Candès
+ PDF Chat	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems	2016	Yuxin Chen Emmanuel J. Candès
+	A knockoff filter for high-dimensional selective inference	2016	Rina Foygel Barber Emmanuel J. Candès
+	The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences	2016	Yuxin Chen Emmanuel J. Candès
+	A differential equation for modeling Nesterov's accelerated gradient method: theory and insights	2016	Weijie Su Stephen Boyd Emmanuel J. Candès
+	Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection	2016	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv
+ PDF Chat	Super-Resolution of Positive Sources: The Discrete Setup	2016	Veniamin I. Morgenshtern Emmanuel J. Candès
+	A knockoff filter for high-dimensional selective inference	2016	Rina Foygel Barber Emmanuel J. Candès
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès
+	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems	2015	Yuxin Chen Emmanuel J. Candès
+	EigenPrism: Inference for High-Dimensional Signal-to-Noise Ratios	2015	Lucas Janson Rina Foygel Barber Emmanuel J. Candès
+	Super-Resolution of Positive Sources: the Discrete Setup	2015	Veniamin I. Morgenshtern Emmanuel J. Candès
+ PDF Chat	Phase Retrieval via Wirtinger Flow: Theory and Algorithms	2015	Emmanuel J. Candès Xiaodong Li Mahdi Soltanolkotabi
+	SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax	2015	Weijie Su Emmanuel J. Candès
+ PDF Chat	Phase Retrieval via Matrix Completion	2015	Emmanuel J. Candès Yonina C. Eldar Thomas Strohmer Vladislav Voroninski
+	False Discoveries Occur Early on the Lasso Path	2015	Weijie Su Małgorzata Bogdan Emmanuel J. Candès
+	A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights	2015	Weijie Su Stephen Boyd Emmanuel J. Candès
+	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems	2015	Yuxin Chen Emmanuel J. Candès
+	Super-Resolution of Positive Sources: the Discrete Setup	2015	Veniamin I. Morgenshtern Emmanuel J. Candès
+	EigenPrism: Inference for High-Dimensional Signal-to-Noise Ratios	2015	Lucas Janson Rina Foygel Barber Emmanuel J. Candès
+	A Differential Equation for Modeling Nesterovâ€™s Accelerated Gradient Method: Theory and Insights	2014	Weijie Su Stephen Boyd Emmanuel J. Candès
+	Phase retrieval from coded diffraction patterns	2014	Emmanuel J. Candès Xiaodong Li Mahdi Soltanolkotabi
+ PDF Chat	Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds	2014	Rafi Witten Emmanuel J. Candès
+	Robust subspace clustering	2014	Mahdi Soltanolkotabi Ehsan Elhamifar Emmanuel J. Candès
+	Phase Retrieval from Coded Diffraction Patterns	2013	Emmanuel J. Candès Xiaodong Li Mahdi Soltanolkotabi
+ PDF Chat	Super-Resolution from Noisy Data	2013	Emmanuel J. Candès Carlos Fernandez‐Granda
+	Randomized algorithms for low-rank matrix factorizations: sharp performance bounds	2013	Rafi Witten Emmanuel J. Candès
+	Hyperspectral fluorescence microscopy based on Compressive Sampling	2013	Makhlad Chahid J. Bobin Hamed Mousavi Emmanuel J. Candès Maxime Dahan Vincent Studer
+ PDF	Single-photon sampling architecture for solid-state imaging sensors	2013	E. van den Berg Emmanuel J. Candès Garry Chinn Craig S. Levin Peter D. Olcott Carlos Sing‐Long
+ PDF Chat	Adaptive Restart for Accelerated Gradient Schemes	2013	Brendan O’Donoghue Emmanuel J. Candès
+ PDF	Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators	2013	Emmanuel J. Candès Carlos Sing‐Long Joshua D. Trzasko
+ PDF Chat	Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns	2013	Emmanuel J. Candès Xiaodong Li
+ PDF Chat	Towards a Mathematical Theory of Super‐resolution	2013	Emmanuel J. Candès Carlos Fernandez‐Granda
+	Statistical estimation and testing via the sorted L1 norm	2013	Małgorzata Bogdan E. van den Berg Weijie Su Emmanuel J. Candès
+ PDF Chat	Phase Retrieval via Matrix Completion	2013	Emmanuel J. Candès Yonina C. Eldar Thomas Strohmer Vladislav Voroninski
+	Hyperspectral fluorescence microscopy based on Compressive Sampling	2013	Makhlad Chahid J. Bobin Hamed Mousavi Emmanuel J. Candès Maxime Dahan Vincent Studer
+	Randomized algorithms for low-rank matrix factorizations: sharp performance bounds	2013	Rafi Witten Emmanuel J. Candès
+	Phase Retrieval from Coded Diffraction Patterns	2013	Emmanuel J. Candès Xiaodong Li Mahdi Soltanolkotabi
+ PDF Chat	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2012	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski
+	Super-Resolution from Noisy Data	2012	Emmanuel J. Candès Carlos Fernandez‐Granda
+ PDF Chat	On the Fundamental Limits of Adaptive Sensing	2012	Ery Arias-Castro Emmanuel J. Candès Mark A. Davenport
+	How well can we estimate a sparse vector?	2012	Emmanuel J. Candès Mark A. Davenport
+	A geometric analysis of subspace clustering with outliers	2012	Mahdi Soltanolkotabi Emmanuel J. Candès
+	Discussion: Latent variable graphical model selection via convex optimization	2012	Emmanuel J. Candès Mahdi Soltanolkotabi
+ PDF	Compressive fluorescence microscopy for biological and hyperspectral imaging	2012	Vincent Studer J. Bobin Makhlad Chahid Hamed Mousavi Emmanuel J. Candès Maxime Dahan
+ PDF	Exact matrix completion via convex optimization	2012	Emmanuel J. Candès Benjamin Recht
+ PDF Chat	Simple bounds for recovering low-complexity models	2012	Emmanuel J. Candès Benjamin Recht
+	Adaptive Restart for Accelerated Gradient Schemes	2012	Brendan O’Donoghue Emmanuel J. Candès
+	Towards a Mathematical Theory of Super-Resolution	2012	Emmanuel J. Candès Carlos Fernandez‐Granda
+	Solving Quadratic Equations via PhaseLift when There Are About As Many Equations As Unknowns	2012	Emmanuel J. Candès Xiaodong Li
+	Towards a Mathematical Theory of Super-Resolution	2012	Emmanuel J. Candès Carlos Fernandez‐Granda
+	Adaptive Restart for Accelerated Gradient Schemes	2012	Brendan O’Donoghue Emmanuel J. Candès
+	Super-Resolution from Noisy Data	2012	Emmanuel J. Candès Carlos Fernandez‐Granda
+	On the Fundamental Limits of Adaptive Sensing	2011	Ery Arias-Castro Emmanuel J. Candès Mark A. Davenport
+ PDF	Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism	2011	Ery Arias-Castro Emmanuel J. Candès Yaniv Plan
+	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2011	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski
+	Phase Retrieval via Matrix Completion	2011	Emmanuel J. Candès Yonina C. Eldar Thomas Strohmer Vlad Voroninski
+ PDF Chat	A Probabilistic and RIPless Theory of Compressed Sensing	2011	Emmanuel J. Candès Yaniv Plan
+ PDF Chat	Templates for convex cone problems with applications to sparse signal recovery	2011	Stephen R. Becker Emmanuel J. Candès Michael C. Grant
+	Simple Bounds for Recovering Low-complexity Models	2011	Emmanuel J. Candès Benjamin Recht
+ PDF	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright
+	How well can we estimate a sparse vector	2011	Emmanuel J. Candès Mark A. Davenport
+ PDF Chat	NESTA: A Fast and Accurate First-Order Method for Sparse Recovery	2011	Stephen Becker J. Bobin Emmanuel J. Candès
+	On the Fundamental Limits of Adaptive Sensing	2011	Ery Arias-Castro Emmanuel J. Candès Mark Davenport
+	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2011	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski
+	How well can we estimate a sparse vector?	2011	Emmanuel J. Candès Mark A. Davenport
+	Simple Bounds for Recovering Low-complexity Models	2011	Emmanuel J. Candès Benjamin Recht
+	Phase Retrieval via Matrix Completion	2011	Emmanuel J. Candès Yonina C. Eldar Thomas Strohmer Vlad Voroninski
+ PDF	Detection of an anomalous cluster in a network	2010	Ery Arias-Castro Emmanuel J. Candès Arnaud Durand
+	A probabilistic and RIPless theory of compressed sensing	2010	Emmanuel J. Candès Yaniv Plan
+	Compressed sensing with coherent and redundant dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall
+ PDF	Dense error correction for low-rank matrices via Principal Component Pursuit	2010	Arvind Ganesh John Wright Xiaodong Li Emmanuel J. Candès Yi Ma
+ PDF	Stable Principal Component Pursuit	2010	Zihan Zhou Xiaodong Li John Wright Emmanuel J. Candès Yi Ma
+	Compressed Sensing with Coherent and Redundant Dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall
+ PDF	Matrix Completion With Noise	2010	Emmanuel J. Candès Yaniv Plan
+ PDF	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao
+	Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements	2010	Emmanuel J. Candès Yaniv Plan
+ PDF	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen
+	Stable Principal Component Pursuit	2010	Zihan Zhou Xiaodong Li John Wright Emmanuel J. Candès Yi Ma
+	Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit	2010	Arvind Ganesh John Wright Xiaodong Li Emmanuel J. Candès Yi Ma
+	Compressed Sensing with Coherent and Redundant Dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall
+	A probabilistic and RIPless theory of compressed sensing	2010	Emmanuel J. Candès Yaniv Plan
+ PDF	A fast and accurate first-order algorithm for compressed sensing	2009	J. Bobin Emmanuel J. Candès
+	Near-ideal model selection by ℓ1 minimization	2009	Emmanuel J. Candès Yaniv Plan
+ PDF	A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators	2009	Emmanuel J. Candès Laurent Demanet Lexing Ying
+	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2009	Emmanuel J. Candès Terence Tao
+	Accurate low-rank matrix recovery from a small number of linear measurements	2009	Emmanuel J. Candès Yaniv Plan
+	Robust Principal Component Analysis?	2009	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright
+	Matrix Completion With Noise	2009	Emmanuel J. Candès Yaniv Plan
+ PDF	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd
+ PDF	Compressed sensing and robust recovery of low rank matrices	2008	Maryam Fazel Emmanuel J. Candès Benjamin Recht Pablo A. Parrilo
+ PDF	Gravitational wave detection using multiscale chirplets	2008	Emmanuel J. Candès P. Charlton Hannes Helgason
+	Searching for a trail of evidence in a maze	2008	Ery Arias-Castro Emmanuel J. Candès Hannes Helgason Ofer Zeitouni
+	Exact Matrix Completion via Convex Optimization	2008	Emmanuel J. Candès Benjamin Recht
+	A Singular Value Thresholding Algorithm for Matrix Completion	2008	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen
+	A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators	2008	Emmanuel J. Candès Laurent Demanet Lexing Ying
+ PDF	Rejoinder: The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao
+ PDF	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao
+	Final technical report.	2007	Emmanuel J. Candès
+ PDF Chat	Detecting highly oscillatory signals by chirplet path pursuit	2007	Emmanuel J. Candès P. Charlton Hannes Helgason
+ PDF Chat	Sparsity and incoherence in compressive sampling	2007	Emmanuel J. Candès Justin Romberg
+ PDF	Fast Computation of Fourier Integral Operators	2007	Emmanuel J. Candès Laurent Demanet Lexing Ying
+	Enhancing Sparsity by Reweighted L1 Minimization	2007	Emmanuel J. Candès Michael B. Wakin Stephen Boyd
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao
+ PDF	Robust Signal Recovery from Incomplete Observations	2006	Emmanuel J. Candès Justin Romberg
+	The phase flow method	2006	Lexing Ying Emmanuel J. Candès
+	Modern statistical estimation via oracle inequalities	2006	Emmanuel J. Candès
+ PDF	Encoding the \ell_p Ball from Limited Measurements	2006	Emmanuel J. Candès Justin Romberg
+ PDF	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao
+	Fast Computation of Fourier Integral Operators	2006	Emmanuel J. Candès Laurent Demanet Lexing Ying
+	Detecting Highly Oscillatory Signals by Chirplet Path Pursuit	2006	Emmanuel J. Candès P. Charlton Hannes Helgason
+	Highly robust error correction by convex programming	2006	Emmanuel J. Candès Paige Randall
+ PDF	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions	2005	Emmanuel J. Candès Justin Romberg
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao
+	Stable signal recovery from incomplete observations	2005	Emmanuel J. Candès Justin Romberg
+	Continuous curvelet transform	2005	Emmanuel J. Candès David L. Donoho
+ PDF Chat	The curvelet representation of wave propagators is optimally sparse	2005	Emmanuel J. Candès Laurent Demanet
+ PDF	Error correction via linear programming	2005	Emmanuel J. Candès Mark Rudelson Terence Tao Roman Vershynin
+	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao
+	Stable Signal Recovery from Incomplete and Inaccurate Measurements	2005	Emmanuel J. Candès Justin Romberg Terence Tao
+	Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information	2004	Emmanuel J. Candès Justin Romberg Terence Tao
+	The Curvelet Representation of Wave Propagators is Optimally Sparse	2004	Emmanuel J. Candès Laurent Demanet
+	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions	2004	Emmanuel J. Candès Justin Romberg
+	Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2004	Emmanuel J. Candès Terence Tao
+	New tight frames of curvelets and optimal representations of objects with piecewise <i>C</i><sup>2</sup> singularities	2003	Emmanuel J. Candès David L. Donoho
+ PDF	Ridgelets: estimating with ridge functions	2003	Emmanuel J. Candès
+ PDF	Curvelets and Fourier Integral Operators	2003	Emmanuel J. Candès Laurent Demanet
+	Digital Implementation of Ridgelet Packets	2003	Ana Georgina Flesia Hagit Hel‐Or Amir Averbuch Emmanuel J. Candès Ronald R. Coifman David L. Donoho
+	Continuous curvelet transform	2003	Emmanuel J. Candès David L. Donoho
+	New tight frames of curvelets and optimal representations of objects with C² singularities	2002	Emmanuel J. Candès
+	Curvelets and Curvilinear Integrals	2001	Emmanuel J. Candès David L. Donoho
+ PDF	Ridgelets and the Representation of Mutilated Sobolev Functions	2001	Emmanuel J. Candès
+	Curvelets and curvilinear integrals	2000	Emmanuel J. Candès David L. Donoho
+	Ridgelets: a key to higher-dimensional intermittency?	1999	Emmanuel J. Candès David L. Donoho
+	Monoscale Ridgelets for the Representation of Images with Edges	1910	Emmanuel J. Candès

Common Coauthors

Coauthor	Papers Together
Rina Foygel Barber	35
Ryan J. Tibshirani	15
Matteo Sesia	15
Weijie Su	14
Aaditya Ramdas	14
Chiara Sabatti	14
Terence Tao	13
Pragya Sur	10
Lihua Lei	10
Yaniv Plan	9
Małgorzata Bogdan	9
Yaniv Romano	8
Yuxin Chen	8
Zhimei Ren	8
Stephen Boyd	7
David L. Donoho	7
Laurent Demanet	7
Yonina C. Eldar	7
Mahdi Soltanolkotabi	7
Stephen Bates	7
Justin Romberg	7
Yaniv Romano	7
Thomas Strohmer	7
Lucas Janson	7
Ery Arias-Castro	6
Yi Ma	6
John Wright	6
Isaac Gibbs	6
Carlos Fernandez‐Granda	6
Benjamin Recht	6
Mark A. Davenport	5
J. Bobin	5
E. van den Berg	5
David A. Barmherzig	5
Asaf Weinstein	5
Po-Nan Li	5
Vladislav Voroninski	5
Lexing Ying	5
Ju Sun	5
Paige Randall	4
Thomas J. Lane	4
Xiaodong Li	4
Tijana Zrnic	4
Hannes Helgason	4
Deanna Needell	3
Zihuai He	3
Zhaomeng Chen	3
Evan Patterson	3
Richard J. Samworth	3
Parth Nobel	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	44
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	30
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	30
+ PDF	Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection	2018	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv	27
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès	27
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	24
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	24
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	23
+ PDF	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	20
+	Compressed sensing	2006	David L. Donoho	19
+ PDF	Distribution-Free Predictive Inference for Regression	2017	Jing Lei Max G’Sell Alessandro Rinaldo Ryan J. Tibshirani Larry Wasserman	19
+ PDF	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	17
+	New tight frames of curvelets and optimal representations of objects with piecewise <i>C</i><sup>2</sup> singularities	2003	Emmanuel J. Candès David L. Donoho	16
+ PDF Chat	Templates for convex cone problems with applications to sparse signal recovery	2011	Stephen R. Becker Emmanuel J. Candès Michael C. Grant	15
+ PDF	The Concentration of Measure Phenomenon	2005	Michel Ledoux	15
+	For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution	2006	David L. Donoho	15
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	15
+ PDF Chat	Gene hunting with hidden Markov model knockoffs	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès	15
+ PDF	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	15
+	Uncertainty principles and ideal atomic decomposition	2001	David L. Donoho Xiaoming Huo	15
+ PDF	Distribution-free Prediction Bands for Non-parametric Regression	2013	Jing Lei Larry Wasserman	14
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	14
+	On the rank minimization problem over a positive semidefinite linear matrix inequality	1997	Mehran Mesbahi George P. Papavassilopoulos	13
+ PDF Chat	The LASSO Risk for Gaussian Matrices	2011	Mohsen Bayati Andrea Montanari	12
+	Near-ideal model selection by ℓ1 minimization	2009	Emmanuel J. Candès Yaniv Plan	12
+ PDF	Sparse representations in unions of bases	2003	Rémi Gribonval Morten Nielsen	12
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	11
+ PDF	Curvelets and Fourier Integral Operators	2003	Emmanuel J. Candès Laurent Demanet	11
+	Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices	2004	Maryam Fazel H. Hindi Stephen Boyd	11
+	A tutorial on conformal prediction	2007	Glenn Shafer Vladimir Vovk	11
+	On asymptotically optimal confidence regions and tests for high-dimensional models	2014	Sara van de Geer Peter Bühlmann Ya’acov Ritov Ruben Dezeure	10
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	10
+ PDF	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	10
+ PDF	Ondelettes et bases hilbertiennes	1986	Pierre Gilles Lemarié–Rieusset Yves Meyer	9
+	A note on spherical summation multipliers	1973	Charles Fefferman	9
+ PDF	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	9
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès	9
+ PDF	Littlewood-Paley Theory and the Study of Function Spaces	1991	Michael Frazier Björn Jawerth Guido Weiss	9
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès	9
+ PDF	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	9
+ PDF	On-line predictive linear regression	2009	Vladimir Vovk Ilia Nouretdinov Alex Gammerman	9
+ PDF	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions	2005	Emmanuel J. Candès Justin Romberg	9
+	Uncertainty Principles and Signal Recovery	1989	David L. Donoho Philip B. Stark	9
+ PDF	Predictive inference with the jackknife+	2021	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani	9
+ PDF Chat	Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models	2013	Cun‐Hui Zhang Stephanie S. Zhang	8
+ PDF	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	8
+	Condition numbers of random matrices	1991	Stanisław J. Szarek	8
+ PDF Chat	Sparsity and incoherence in compressive sampling	2007	Emmanuel J. Candès Justin Romberg	8
+ PDF Chat	Matrix completion from a few entries	2009	Raghunandan H. Keshavan Sewoong Oh Andrea Montanari	8
+	Valid post-selection inference	2013	Richard A. Berk Lawrence Brown Andreas Buja Kai Zhang Linda Zhao	8