Emmanuel J. Candès

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 38

Top Venues

Publications

John J. Cherian, Isaac Gibbs, Emmanuel J. Candès
Large language model validity via enhanced conformal prediction methods. CoRR (2024)
Zitong Yang, Emmanuel J. Candès, Lihua Lei
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series. CoRR (2024)
Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. CoRR (2024)
Tijana Zrnic, Emmanuel J. Candès
Active Statistical Inference. CoRR (2024)
Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS (2023)
John J. Cherian, Emmanuel J. Candès
Statistical Inference for Fairness Auditing. CoRR (2023)
Parth Nobel, Emmanuel J. Candès, Stephen P. Boyd
Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers. IEEE Trans. Signal Process. 71 (2023)
Anastasios Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani
Conformal PID Control for Time Series Prediction. NeurIPS (2023)
Ying Jin, Emmanuel J. Candès
Selection by Prediction with Conformal p-values. J. Mach. Learn. Res. 24 (2023)
Anastasios N. Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani
Conformal PID Control for Time Series Prediction. CoRR (2023)
Tijana Zrnic, Emmanuel J. Candès
Cross-Prediction-Powered Inference. CoRR (2023)
Isaac Gibbs, Emmanuel J. Candès
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts. CoRR (2022)
Charmaine Chia, Matteo Sesia, Chi-Sing Ho, Stefanie S. Jeffrey, Jennifer A. Dionne, Emmanuel J. Candès, Roger T. Howe
Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Yifei Wang, Yixuan Hua, Emmanuel J. Candès, Mert Pilanci
ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery. CoRR (2022)
Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR (2021)
Isaac Gibbs, Emmanuel J. Candès
Adaptive Conformal Inference Under Distribution Shift. CoRR (2021)
Isaac Gibbs, Emmanuel J. Candès
Adaptive Conformal Inference Under Distribution Shift. NeurIPS (2021)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS (2020)
Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
Classification with Valid and Adaptive Coverage. NeurIPS (2020)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR (2020)
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
Dual-Reference Design for Holographic Coherent Diffraction Imaging. CoRR (2019)
Yaniv Romano, Evan Patterson, Emmanuel J. Candès
Conformalized Quantile Regression. NeurIPS (2019)
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR (2019)
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
Holographic Phase Retrieval and Optimal Reference Design. CoRR (2019)
Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas
Conformal Prediction Under Covariate Shift. NeurIPS (2019)
Pragya Sur, Yuxin Chen, Emmanuel J. Candès
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR (2017)
Veniamin I. Morgenshtern, Emmanuel J. Candès
Super-Resolution of Positive Sources: The Discrete Setup. SIAM J. Imaging Sci. 9 (1) (2016)
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. J. Mach. Learn. Res. 17 (2016)
Yuxin Chen, Emmanuel J. Candès
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences. CoRR (2016)
Rafi Witten, Emmanuel J. Candès
Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds. Algorithmica 72 (1) (2015)
Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
Phase Retrieval via Wirtinger Flow: Theory and Algorithms. IEEE Trans. Inf. Theory 61 (4) (2015)
Emmanuel J. Candès, Weijie Su
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax. CoRR (2015)
Yuxin Chen, Emmanuel J. Candès
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. CoRR (2015)
Yuxin Chen, Emmanuel J. Candès
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. NIPS (2015)
Weijie Su, Malgorzata Bogdan, Emmanuel J. Candès
False Discoveries Occur Early on the Lasso Path. CoRR (2015)
Veniamin I. Morgenshtern, Emmanuel J. Candès
Super-Resolution of Positive Sources: the Discrete Setup. CoRR (2015)
Brendan O'Donoghue, Emmanuel J. Candès
Adaptive Restart for Accelerated Gradient Schemes. Found. Comput. Math. 15 (3) (2015)
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
Phase Retrieval via Matrix Completion. SIAM Rev. 57 (2) (2015)
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. NIPS (2014)
Emmanuel J. Candès, Xiaodong Li
Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns. Found. Comput. Math. 14 (5) (2014)
Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
Phase Retrieval via Wirtinger Flow: Theory and Algorithms. CoRR (2014)
Emmanuel J. Candès, Stephen Becker
Compressive sensing: Principles and hardware implementations. ESSCIRC (2013)
Emmanuel J. Candès, Benjamin Recht
Simple bounds for recovering low-complexity models. Math. Program. 141 (1-2) (2013)
Makhlad Chahid, Jérôme Bobin, Hamed Shams Mousavi, Emmanuel J. Candès, Maxime Dahan, Vincent Studer
Hyperspectral fluorescence microscopy based on Compressive Sampling. CoRR (2013)
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
On the Fundamental Limits of Adaptive Sensing. IEEE Trans. Inf. Theory 59 (1) (2013)
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
Phase Retrieval via Matrix Completion. SIAM J. Imaging Sci. 6 (1) (2013)
Carlos Fernandez-Granda, Emmanuel J. Candès
Super-resolution via Transform-Invariant Group-Sparse Regularization. ICCV (2013)
Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
Phase Retrieval from masked Fourier transforms. CoRR (2013)
Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
Robust Subspace Clustering CoRR (2013)
Emmanuel J. Candès, Carlos A. Sing-Long, Joshua D. Trzasko
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators. IEEE Trans. Signal Process. 61 (19) (2013)
Rafi Witten, Emmanuel J. Candès
Randomized algorithms for low-rank matrix factorizations: sharp performance bounds. CoRR (2013)
Ewout van den Berg, Emmanuel J. Candès, Garry Chinn, Craig S. Levin, Peter D. Olcott, Carlos A. Sing-Long
A single-photon sampling architecture for solid-state imaging CoRR (2012)
Michael B. Wakin, Stephen Becker, Eric B. Nakamura, Michael C. Grant, Emilio A. Sovero, Daniel Ching, Juhwan Yoo, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Juhwan Yoo, Christopher K. Turnes, Eric B. Nakamura, Chi K. Le, Stephen Becker, Emilio A. Sovero, Michael B. Wakin, Michael C. Grant, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Juhwan Yoo, Stephen Becker, Manuel Monge, Matthew Loh, Emmanuel J. Candès, Azita Emami-Neyestanak
Design and implementation of a fully integrated compressed-sensing signal acquisition system. ICASSP (2012)
Emmanuel J. Candès, Mahdi Soltanolkotabi
Discussion: Latent variable graphical model selection via convex optimization CoRR (2012)
Emmanuel J. Candès, Xiaodong Li
Solving Quadratic Equations via PhaseLift when There Are About As Many Equations As Unknowns CoRR (2012)
Emmanuel J. Candès, Carlos Fernandez-Granda
Towards a Mathematical Theory of Super-Resolution CoRR (2012)
Emmanuel J. Candès, Benjamin Recht
Exact matrix completion via convex optimization. Commun. ACM 55 (6) (2012)
Emmanuel J. Candès, Carlos Fernandez-Granda
Super-Resolution from Noisy Data CoRR (2012)
Mahdi Soltanolkotabi, Emmanuel J. Candès
A Geometric Analysis of Subspace Clustering with Outliers CoRR (2011)
Stephen Becker, Jérôme Bobin, Emmanuel J. Candès
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. SIAM J. Imaging Sci. 4 (1) (2011)
Stephen Becker, Emmanuel J. Candès, Michael C. Grant
Templates for convex cone problems with applications to sparse signal recovery. Math. Program. Comput. 3 (3) (2011)
Emmanuel J. Candès, Yaniv Plan
Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements. IEEE Trans. Inf. Theory 57 (4) (2011)
Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport
On the Fundamental Limits of Adaptive Sensing CoRR (2011)
Emmanuel J. Candès, Thomas Strohmer, Vladislav Voroninski
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming CoRR (2011)
Emmanuel J. Candès, Benjamin Recht
Simple Bounds for Low-complexity Model Reconstruction CoRR (2011)
Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
Robust principal component analysis? J. ACM 58 (3) (2011)
Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski
Phase Retrieval via Matrix Completion CoRR (2011)
Emmanuel J. Candès, Mark A. Davenport
How well can we estimate a sparse vector? CoRR (2011)
Emmanuel J. Candès, Yaniv Plan
A Probabilistic and RIPless Theory of Compressed Sensing. IEEE Trans. Inf. Theory 57 (11) (2011)
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
Stable Principal Component Pursuit CoRR (2010)
Emmanuel J. Candès, Terence Tao
The power of convex relaxation: near-optimal matrix completion. IEEE Trans. Inf. Theory 56 (5) (2010)
Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma
Stable Principal Component Pursuit. ISIT (2010)
Emmanuel J. Candès, Yonina C. Eldar, Deanna Needell
Compressed Sensing with Coherent and Redundant Dictionaries CoRR (2010)
Jian-Feng Cai, Emmanuel J. Candès, Zuowei Shen
A Singular Value Thresholding Algorithm for Matrix Completion. SIAM J. Optim. 20 (4) (2010)
Richard G. Baraniuk, Emmanuel J. Candès, Michael Elad, Yi Ma
Applications of Sparse Representation and Compressive Sensing. Proc. IEEE 98 (6) (2010)
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
Dense error correction for low-rank matrices via Principal Component Pursuit. ISIT (2010)
Argyrios Zymnis, Stephen P. Boyd, Emmanuel J. Candès
Compressed Sensing With Quantized Measurements. IEEE Signal Process. Lett. 17 (2) (2010)
Emmanuel J. Candès
The Power of Convex Relaxation: The Surprising Stories of Matrix Completion and Compressed Sensing. SODA (2010)
Emmanuel J. Candès, Yaniv Plan
A probabilistic and RIPless theory of compressed sensing CoRR (2010)
Emmanuel J. Candès, Yaniv Plan
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements CoRR (2010)
Emmanuel J. Candès, Yaniv Plan
Matrix Completion With Noise. Proc. IEEE 98 (6) (2010)
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit CoRR (2010)
Emmanuel J. Candès, Yaniv Plan
Accurate low-rank matrix recovery from a small number of linear measurements. Allerton (2009)
Emmanuel J. Candès, Benjamin Recht
Exact Matrix Completion via Convex Optimization. Found. Comput. Math. 9 (6) (2009)
Emmanuel J. Candès, Laurent Demanet, Lexing Ying
A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators. Multiscale Model. Simul. 7 (4) (2009)
Jérôme Bobin, Emmanuel J. Candès
A fast and accurate first-order algorithm for compressed sensing. ICIP (2009)
Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright
Robust Principal Component Analysis? CoRR (2009)
Emmanuel J. Candès, Yaniv Plan
Matrix Completion With Noise CoRR (2009)
Emmanuel J. Candès, Yaniv Plan
Accurate low-rank matrix recovery from a small number of linear measurements CoRR (2009)
Emmanuel J. Candès, Terence Tao
The Power of Convex Relaxation: Near-Optimal Matrix Completion CoRR (2009)
Emmanuel J. Candès, Michael B. Wakin
An Introduction To Compressive Sampling. IEEE Signal Process. Mag. 25 (2) (2008)
Richard G. Baraniuk, Emmanuel J. Candès, Robert D. Nowak, Martin Vetterli
Compressive Sampling [From the Guest Editors]. IEEE Signal Process. Mag. 25 (2) (2008)
Emmanuel J. Candès, Benjamin Recht
Exact Matrix Completion via Convex Optimization CoRR (2008)
Emmanuel J. Candès, Benjamin Recht
Exact low-rank matrix completion via convex optimization. Allerton (2008)
Emmanuel J. Candès, Paige A. Randall
Highly Robust Error Correction byConvex Programming. IEEE Trans. Inf. Theory 54 (7) (2008)
Maryam Fazel, Emmanuel J. Candès, Ben Recht, Pablo A. Parrilo
Compressed sensing and robust recovery of low rank matrices. ACSCC (2008)
Emmanuel J. Candès
Session TA1b: Compressive sensing. ACSCC (2008)
Emmanuel J. Candès, Justin K. Romberg
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Found. Comput. Math. 7 (4) (2007)

Emmanuel J. Candès.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Emmanuel J. Candès