• 2019

    • M. Sesia
    • E. J. Candès
    A comparison of some conformal quantile regression methods. Pre-published. 2019.
    @unpublished{CQRComparison,
      author = {Sesia, Matteo and Cand{è}s, Emmanuel J.},
      title = {A comparison of some conformal quantile regression methods},
      date = {2019},
      annotation = {2019i},
      pubstate = {Pre-published},
    }
    • Y. Romano
    • R. F. Barber
    • C. Sabatti
    • E. J. Candès
    With malice towards none: Assessing uncertainty via equalized coverage. Pre-published. 2019.
    @unpublished{EqualizedCoverage,
      author = {Romano, Yaniv and Barber, Rina F. and Sabatti, Chiara and Cand{è}s, Emmanuel J.},
      title = {With malice towards none: Assessing uncertainty via equalized coverage},
      date = {2019},
      annotation = {2019h},
      pubstate = {Pre-published},
    }
    • M. Sesia
    • E. Katsevich
    • S. Bates
    • E. J. Candès
    • C. Sabatti
    Multi-resolution localization of causal variants across the genome. Pre-published. 2019. (Website & code)
    @unpublished{UKBio,
      author = {Sesia, Matteo and Katsevich, Eugene and Bates, Stephen and Cand{è}s, Emmanuel J. and Sabatti, Chiara},
      title = {Multi-resolution localization of causal variants across the genome},
      date = {2019},
      annotation = {2019g},
      pubstate = {Pre-published},
    }
    • R. F. Barber
    • E. J. Candès
    • A. Ramdas
    • R. Tibshirani
    Predictive inference with the jackknife+. Pre-published. 2019. (Website & code)
    @unpublished{Jackknife+,
      author = {Barber, Rina F. and Cand{è}s, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan},
      title = {Predictive inference with the jackknife+},
      date = {2019},
      annotation = {2019f},
      pubstate = {Pre-published},
    }
    • Y. Romano
    • E. Patterson
    • E. J. Candès
    Conformalized quantile regression. Advances in neural information processing systems (NeurIPS 2019). To appear. 2019. (Website & code)
    @inproceedings{CQR,
      author = {Romano, Yaniv and Patterson, Evan and Cand{è}s, Emmanuel J.},
      title = {Conformalized quantile regression},
      booktitle = {Advances in Neural Information Processing Systems ({NeurIPS} 2019)},
      volume = {32},
      date = {2019},
      annotation = {2019e},
      pubstate = {To appear},
    }
    • R. F. Barber
    • E. J. Candès
    • A. Ramdas
    • R. Tibshirani
    Conformal prediction under covariate shift. Advances in neural information processing systems (NeurIPS 2019). To appear. 2019.
    @inproceedings{WeightedCP,
      author = {Barber, Rina F. and Cand{è}s, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan},
      title = {Conformal prediction under covariate shift},
      booktitle = {Advances in Neural Information Processing Systems ({NeurIPS} 2019)},
      volume = {32},
      date = {2019},
      annotation = {2019d},
      pubstate = {To appear},
    }
    • R. F. Barber
    • E. J. Candès
    • A. Ramdas
    • R. Tibshirani
    The limits of distribution-free conditional predictive inference. Pre-published. 2019.
    @unpublished{ConditionalConformal,
      author = {Barber, Rina F. and Cand{è}s, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan},
      title = {The limits of distribution-free conditional predictive inference},
      date = {2019},
      annotation = {2019c},
      pubstate = {Pre-published},
    }
    • S. Bates
    • E. J. Candès
    • L. Janson
    • W. Wang
    Metropolized knockoff sampling. Pre-published. 2019. (Website & code)
    @unpublished{Metro,
      author = {Bates, Stephen and Cand{è}s, Emmanuel J. and Janson, Lucas and Wang, Wenshuo},
      title = {Metropolized knockoff sampling},
      date = {2019},
      annotation = {2019b},
      pubstate = {Pre-published},
    }
    • D. A. Barmherzig
    • J. Sun
    • E. J. Candès
    • T. J. Lane
    • P. Li
    Holographic phase retrieval and optimal reference design. Inverse Problems. 2019.
    @article{HolographicPR,
      author = {Barmherzig, D. A. and Sun, J. and Candès, E. J. and Lane, T. J. and Li, P-N.},
      title = {Holographic phase retrieval and optimal reference design},
      journaltitle = {Inverse Problems},
      volume = {35},
      number = {9},
      pages = {094001},
      date = {2019},
      annotation = {2019a},
    }
  • 2018

    • R. F. Barber
    • E. J. Candès
    On the construction of knockoffs in case-control studies. Stat. 2019.
    @article{Case-Control,
      author = {Barber, Rina F. and Cand{è}s, Emmanuel J.},
      title = {On the construction of knockoffs in case-control studies},
      journaltitle = {Stat},
      volume = {8},
      number = {1},
      pages = {e225},
      date = {2019},
      annotation = {2018e},
    }
    • Y. Romano
    • M. Sesia
    • E. J. Candès
    Deep knockoffs. Journal of the American Statistical Association. To appear. 2018. (Website & code)
    @article{DeepKnockoffs,
      author = {Romano, Yaniv and Sesia, Matteo and Cand{è}s, Emmanuel J.},
      title = {Deep knockoffs},
      journaltitle = {Journal of the American Statistical Association},
      date = {2018},
      annotation = {2018d},
      pubstate = {To appear},
    }
    • E. J. Candès
    • P. Sur
    The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression. The Annals of Statistics. To appear. 2018.
    @article{LogisticMLE,
      author = {Cand{è}s, Emmanuel J. and Sur, Pragya},
      title = {The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression},
      journaltitle = {The Annals of Statistics},
      date = {2018},
      annotation = {2018c},
      pubstate = {To appear},
    }
    • P. Sur
    • E. J. Candès
    A modern maximum-likelihood theory for high-dimensional logistic regression. Proceedings of the National Academy of Sciences. 2019.
    @article{LogisticAMP,
      author = {Sur, Pragya and Cand{è}s, Emmanuel J.},
      title = {A modern maximum-likelihood theory for high-dimensional logistic regression},
      journaltitle = {Proceedings of the National Academy of Sciences},
      volume = {116},
      number = {29},
      pages = {14516--14525},
      date = {2019},
      annotation = {2018b},
    }
    • R. F. Barber
    • E. J. Candès
    • R. Samworth
    Robust inference with knockoffs. The Annals of Statistics. To appear. 2018.
    @article{RobustKnockoffs,
      author = {Barber, Rina F. and Cand{è}s, Emmanuel J. and Samworth, R.},
      title = {Robust inference with knockoffs},
      journaltitle = {The Annals of Statistics},
      date = {2018},
      annotation = {2018a},
      pubstate = {To appear},
    }
  • 2017

    • A. Weinstein
    • R. F. Barber
    • E. J. Candès
    A power analysis for knockoffs under Gaussian designs. IEEE Transactions on Information Theory. Under revision. 2017.
    @article{AMPKnockoffs,
      author = {Weinstein, Asaf and Barber, Rina F. and Cand{è}s, Emmanuel J.},
      title = {A power analysis for knockoffs under {G}aussian designs},
      journaltitle = {{IEEE} Transactions on Information Theory},
      date = {2017},
      annotation = {2017d},
      pubstate = {Under revision},
    }
    • M. Sesia
    • C. Sabatti
    • E. J. Candès
    Rejoinder: ‘Gene hunting with knockoffs for hidden Markov models’. Biometrika. 2019.
    @article{Rejoinder_HMM_Knockoffs,
      author = {Sesia, Matteo and Sabatti, Chiara and Cand{è}s, Emmanuel J.},
      title = {Rejoinder: `Gene hunting with knockoffs for hidden {M}arkov models'},
      journaltitle = {Biometrika},
      volume = {106},
      number = {1},
      pages = {35--45},
      date = {2019},
      annotation = {2017c},
    }
    • M. Sesia
    • C. Sabatti
    • E. J. Candès
    Gene hunting with knockoffs for hidden Markov models (with discussion). Biometrika. 2019. (Website & code)
    @article{HMM_Knockoffs,
      author = {Sesia, Matteo and Sabatti, Chiara and Cand{è}s, Emmanuel J.},
      title = {Gene hunting with knockoffs for hidden {M}arkov models (with discussion)},
      journaltitle = {Biometrika},
      volume = {106},
      number = {1},
      pages = {1--18},
      date = {2019},
      annotation = {2017b},
    }
    • P. Sur
    • Y. Chen
    • E. J. Candès
    The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled chi-square. Probability Theory and Related Fields. 2019.
    @article{LRT_HighDim,
      author = {Sur, Pragya and Chen, Yuxin and Cand{è}s, Emmanuel J.},
      title = {The likelihood ratio test in high-dimensional logistic regression is asymptotically a {\em rescaled} chi-square},
      journaltitle = {Probability Theory and Related Fields},
      volume = {175},
      number = {1},
      pages = {487--558},
      date = {2019-10},
      annotation = {2017a},
    }
  • 2016

    • E. J. Candès
    • Y. Fan
    • L. Janson
    • J. Lv
    Panning for gold: ‘Model-x’ knockoffs for high-dimensional controlled variable selection. Journal of the Royal Statistical Society Series B. 2018. (Website & code)
    @article{MX_Knockoffs,
      author = {Cand{è}s, Emmanuel J. and Fan, Yingying and Janson, Lucas and Lv, Jinchi},
      title = {Panning for gold: `Model-X' knockoffs for high-dimensional controlled variable selection},
      journaltitle = {Journal of the Royal Statistical Society Series B},
      volume = {80},
      number = {13},
      pages = {551--577},
      date = {2018},
      annotation = {2016d},
    }
    • Y. Chen
    • E. J. Candès
    The projected power method: An efficient algorithm for joint alignment from pairwise differences. Communications on Pure and Applied Mathematics. 2018.
    @article{JointAlign,
      author = {Chen, Yuxin and Cand{è}s, Emmanuel J},
      title = {The projected power method: an efficient algorithm for joint alignment from pairwise differences},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {71},
      number = {8},
      pages = {1648--1714},
      date = {2018},
      annotation = {2016c},
    }
    • D. Brzyski
    • C. B. Peterson
    • P. Sobczyk
    • E. J. Candès
    • M. Bogdan
    • C. Sabatti
    Controlling the rate of GWAS false discoveries. Genetics. 2017.
    @article{GWAS_FDR,
      author = {Brzyski, Damian and Peterson, Christine B. and Sobczyk, Piotr and Candès, Emmanuel J. and Bogdan, Malgorzata and Sabatti, Chiara},
      title = {Controlling the rate of {GWAS} false discoveries},
      journaltitle = {Genetics},
      volume = {205},
      number = {1},
      pages = {61--75},
      date = {2017},
      annotation = {2016b},
    }
    • R. F. Barber
    • E. J. Candès
    A knockoff filter for high-dimensional selective inference. The Annals of Statistics. 2019.
    @article{HD_knockoffs,
      author = {Barber, Rina Foygel and Candès, Emmanuel J.},
      title = {A knockoff filter for high-dimensional selective inference},
      journaltitle = {The Annals of Statistics},
      volume = {47},
      number = {5},
      pages = {2504--2537},
      date = {2019-10},
      annotation = {2016a},
    }
  • 2015

    • W. Su
    • M. Bogdan
    • E. J. Candès
    False discoveries occur early on the lasso path. Annals of Statistics. 2017.
    @article{LassoFDR,
      author = {Su, Weijie and Bogdan, Malgorzata and Cand{è}s, Emmanuel J},
      title = {False discoveries occur early on the lasso path},
      journaltitle = {Annals of Statistics},
      volume = {45},
      number = {5},
      pages = {2133--2150},
      date = {2017},
      annotation = {2015f},
    }
    • Y. Chen
    • E. J. Candès
    Solving random quadratic systems of equations is nearly as easy as solving linear systems. Communications on Pure and Applied Mathematics. 2017. (Website & code)
    @article{TruncatedWF,
      author = {Chen, Yuxin and Cand{è}s, Emmanuel J},
      title = {Solving random quadratic systems of equations is nearly as easy as solving linear systems},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {70},
      number = {5},
      pages = {2133--2150},
      date = {2017},
      annotation = {2015e},
    }
    • L. Janson
    • R. Foygel Barber
    • E. J. Candès
    EigenPrism: Inference for high-dimensional signal-to-noise ratios. Journal of the Royal Statistical Society Series B. 2017.
    @article{EigenPrism,
      author = {Janson, Lucas and Foygel Barber, Rina and Cand{è}s, Emmanuel J},
      title = {EigenPrism: inference for high-dimensional signal-to-noise ratios},
      journaltitle = {Journal of the Royal Statistical Society Series B},
      volume = {79},
      number = {4},
      pages = {1037--1065},
      date = {2017},
      annotation = {2015d},
    }
    • V. Morgenshtern
    • E. J. Candès
    Super-resolution of positive sources: The discrete setup. SIAM Journal on Imaging Sciences. 2016.
    @article{SuperResPositive,
      author = {Morgenshtern, Veniamin and Cand{è}s, Emmanuel J},
      title = {Super-resolution of positive sources: the discrete setup},
      journaltitle = {SIAM Journal on Imaging Sciences},
      publisher = {SIAM},
      volume = {9},
      number = {1},
      pages = {412--444},
      date = {2016},
      annotation = {2015c},
    }
    • E. J. Candès
    • W. Su
    SLOPE is adaptive to unknown sparsity and asymptotically minimax. The Annals of Statistics. 2016.
    @article{SLOPE_minimax,
      author = {Cand{è}s, Emmanuel J and Su, Weijie},
      title = {SLOPE is adaptive to unknown sparsity and asymptotically minimax},
      journaltitle = {The Annals of Statistics},
      volume = {44},
      number = {3},
      pages = {1038--1068},
      date = {2016},
      annotation = {2015b},
    }
    • W. Su
    • S. Boyd
    • E. J. Candès
    A differential equation for modeling Nesterov’s accelerated gradient method: Theory and insights. Journal of Machine Learning Research. 2016.
    @article{NesterovODE,
      author = {Su, Weijie and Boyd, Stephen and Cand{è}s, Emmanuel J},
      title = {A differential equation for modeling {N}esterov’s accelerated gradient method: theory and insights},
      journaltitle = {Journal of Machine Learning Research},
      volume = {17},
      number = {153},
      pages = {1--43},
      date = {2016},
      annotation = {2015a},
    }
  • 2014

    • W. Su
    • S. Boyd
    • E. J. Candès
    A differential equation for modeling Nesterov’s accelerated gradient method: Theory and insights. Advances in neural information processing systems (NIPS 2014). 2014.
    @inproceedings{NIPS2014,
      author = {Su, Weijie and Boyd, Stephen and Cand{è}s, Emmanuel J},
      title = {A differential equation for modeling {N}esterov’s accelerated gradient method: theory and insights},
      booktitle = {Advances in Neural Information Processing Systems ({NIPS} 2014)},
      volume = {27},
      pages = {2510--2518},
      date = {2014},
      annotation = {2014e},
    }
    • E. J. Candès
    Mathematics of sparsity (and a few other things). Proceedings of the international congress of mathematicians. 2014.
    @inproceedings{ICM2014,
      author = {Cand{è}s, Emmanuel J},
      title = {Mathematics of sparsity (and a few other things)},
      booktitle = {Proceedings of the International Congress of Mathematicians},
      date = {2014},
      annotation = {2014d},
      location = {Seoul, South Korea},
    }
    • E. J. Candès
    • X. Li
    • M. Soltanolkotabi
    Phase retrieval via Wirtinger flow: Theory and algorithms. IEEE Transactions on Information Theory. 2015. (Website & code)
    @article{WirtingerFlow,
      author = {Cand{è}s, Emmanuel J and Li, Xiaodong and Soltanolkotabi, Mahdi},
      title = {Phase retrieval via {W}irtinger flow: Theory and algorithms},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {61},
      number = {4},
      pages = {1985--2007},
      date = {2015},
      annotation = {2014c},
    }
    • M. Bogdan
    • E. Berg
    • C. Sabatti
    • W. Su
    • E. J. Candès
    SLOPE – adaptive variable selection via convex optimization. The Annals of Applied Statistics. 2015. (Website & code)
    @article{SLOPE,
      author = {Bogdan, Malgorzata and van den Berg, Ewout and Sabatti, Chiara and Su, Weijie and Cand{è}s, Emmanuel J},
      title = {SLOPE -- Adaptive variable selection via convex optimization},
      journaltitle = {The Annals of Applied Statistics},
      publisher = {The Institute of Mathematical Statistics},
      volume = {9},
      number = {3},
      pages = {1103--1140},
      date = {2015-09},
      annotation = {2014b},
    }
    • R. Foygel Barber
    • E. J. Candès
    Controlling the false discovery rate via knockoffs. The Annals of Statistics. 2015. (Website & code)
    @article{FDR_regression,
      author = {Foygel Barber, Rina and Cand{è}s, Emmanuel J},
      title = {Controlling the false discovery rate via knockoffs},
      journaltitle = {The Annals of Statistics},
      publisher = {The Institute of Mathematical Statistics},
      volume = {43},
      number = {5},
      pages = {2055--2085},
      date = {2015-10},
      annotation = {2014a},
    }
  • 2013

    • C. Fernandez-Granda
    • E. J. Candès
    Super-resolution via transform-invariant group-sparse regularization. Proceedings of the IEEE international conference on computer vision (iccv). 2013.
    @inproceedings{TI_DTV_superres,
      author = {Fernandez-Granda, Carlos and Cand{è}s, Emmanuel J},
      title = {Super-resolution via transform-invariant group-sparse regularization},
      booktitle = {Proceedings of the {IEEE} International Conference on Computer Vision (ICCV)},
      organization = {IEEE},
      date = {2013-12},
      annotation = {2013f},
    }
    • E. J. Candès
    • X. Li
    • M. Soltanolkotabi
    Phase retrieval from coded diffraction patterns. Applied and Computational Harmonic Analysis. 2014.
    @article{PhaseLift_CDP,
      author = {Cand{è}s, Emmanuel J and Li, Xiaodong and Soltanolkotabi, Mahdi},
      title = {Phase retrieval from coded diffraction patterns},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {39},
      number = {2},
      pages = {277--299},
      date = {2014},
      annotation = {2013e},
    }
    • M. Bogdan
    • E. v. d. Berg
    • W. Su
    • E. J. Candès
    Statistical estimation and testing via the sorted l1 norm. arXiv preprint arXiv:1310.1969. 2013.
    @article{SortedL1,
      author = {Bogdan, Malgorzata and Berg, Ewout van den and Su, Weijie and Cand{è}s, Emmanuel J},
      title = {Statistical estimation and testing via the sorted L1 norm},
      journaltitle = {arXiv preprint arXiv:1310.1969},
      date = {2013},
      annotation = {2013d},
    }
    • R. Witten
    • E. Candès
    Randomized algorithms for low-rank matrix factorizations: Sharp performance bounds. Algorithmica. 2013.
    @article{RandomizedNLA,
      author = {Witten, Rafi and Cand{è}s, Emmanuel},
      title = {Randomized algorithms for low-rank matrix factorizations: sharp performance bounds},
      journaltitle = {Algorithmica},
      publisher = {Springer},
      volume = {72},
      number = {1},
      pages = {264--281},
      date = {2013},
      annotation = {2013c},
    }
    • R. Otazo
    • E. Candès
    • D. Sodickson
    Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components. Magnetic Resonance in Medicine. 2015.
    @article{L+S-MRI,
      author = {Otazo, Ricardo and Cand{è}s, Emmanuel and Sodickson, Daniel},
      title = {Low-rank plus sparse matrix decomposition for accelerated dynamic {MRI} with separation of background and dynamic components},
      journaltitle = {Magnetic Resonance in Medicine},
      volume = {73},
      number = {3},
      pages = {1125--1136},
      date = {2015},
      annotation = {2013b},
    }
    • M. Soltanolkotabi
    • E. Elhamifar
    • E. J. Candès
    Robust subspace clustering. The Annals of Statistics. 2014.
    @article{RobustSubspaceClustering,
      author = {Soltanolkotabi, Mahdi and Elhamifar, Ehsan and Cand{è}s, Emmanuel J},
      title = {Robust subspace clustering},
      journaltitle = {The Annals of Statistics},
      publisher = {Institute of Mathematical Statistics},
      volume = {42},
      number = {2},
      pages = {669--699},
      date = {2014},
      annotation = {2013a},
    }
  • 2012

    • E. J. Candès
    • C. Fernandez-Granda
    Super-resolution from noisy data. Journal of Fourier Analysis and Applications. 2013.
    @article{robust_SR,
      author = {Cand{è}s, Emmanuel J and Fernandez-Granda, Carlos},
      title = {Super-resolution from noisy data},
      journaltitle = {Journal of Fourier Analysis and Applications},
      publisher = {Springer},
      volume = {19},
      number = {6},
      pages = {1229--1254},
      date = {2013},
      annotation = {2012i},
    }
    • E. J. Candès
    • C. Sing-Long
    • J. D. Trzasko
    • et al
    Unbiased risk estimates for singular value thresholding and spectral estimators. IEEE Transactions on Signal Processing. 2013. (Website & code)
    @article{SURE_SVT,
      author = {Cand{è}s, Emmanuel J and Sing-Long, Carlos and Trzasko, Joshua D and others},
      title = {Unbiased risk estimates for singular value thresholding and spectral estimators},
      journaltitle = {{IEEE} Transactions on Signal Processing},
      publisher = {IEEE},
      volume = {61},
      number = {19},
      pages = {4643--4657},
      date = {2013},
      annotation = {2012h},
    }
    • E. Van Den Berg
    • E. Candès
    • G. Chinn
    • C. Levin
    • P. D. Olcott
    • C. Sing-Long
    Single-photon sampling architecture for solid-state imaging sensors. Proceedings of the National Academy of Sciences. 2013.
    @article{GroupTesting,
      author = {Van Den Berg, Ewout and Cand{è}s, Emmanuel and Chinn, Garry and Levin, Craig and Olcott, Peter Demetri and Sing-Long, Carlos},
      title = {Single-photon sampling architecture for solid-state imaging sensors},
      journaltitle = {Proceedings of the National Academy of Sciences},
      publisher = {National Acad Sciences},
      volume = {110},
      number = {30},
      pages = {E2752--E2761},
      date = {2013},
      annotation = {2012g},
    }
    • E. J. Candès
    • X. Li
    Solving quadratic equations via PhaseLift when there are about as many equations as unknowns. Foundations of Computational Mathematics. 2014.
    @article{ImprovedPL,
      author = {Cand{è}s, Emmanuel J and Li, Xiaodong},
      title = {Solving quadratic equations via {PhaseLift} when there are about as many equations as unknowns},
      journaltitle = {Foundations of Computational Mathematics},
      publisher = {Springer},
      volume = {14},
      number = {5},
      pages = {1017--1026},
      date = {2014},
      annotation = {2012f},
    }
    • E. J. Candès
    • M. Soltanolkotabi
    Discussion of ‘latent variable graphical model selection via convex optimization’. The Annals of Statistics. 2012.
    @article{LatentVariables,
      author = {Cand{è}s, Emmanuel J and Soltanolkotabi, Mahdi},
      title = {Discussion of `Latent variable graphical model selection via convex optimization'},
      journaltitle = {The Annals of Statistics},
      publisher = {Institute of Mathematical Statistics},
      volume = {40},
      number = {4},
      pages = {1997--2004},
      date = {2012},
      annotation = {2012e},
    }
    • B. O’Donoghue
    • E. Candès
    Adaptive restart for accelerated gradient schemes. Foundations of computational mathematics. 2013.
    @article{adap_restart_paper,
      author = {O’Donoghue, Brendan and Cand{è}s, Emmanuel},
      title = {Adaptive restart for accelerated gradient schemes},
      journaltitle = {Foundations of computational mathematics},
      publisher = {Springer},
      volume = {15},
      number = {3},
      pages = {715--732},
      date = {2013},
      annotation = {2012d},
    }
    • E. J. Candès
    • C. Fernandez-Granda
    Towards a mathematical theory of super-resolution. Communications on Pure and Applied Mathematics. 2014.
    @article{super-res,
      author = {Cand{è}s, Emmanuel J and Fernandez-Granda, Carlos},
      title = {Towards a mathematical theory of super-resolution},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {67},
      number = {6},
      pages = {906--956},
      date = {2014},
      annotation = {2012c},
    }
    • J. Yoo
    • C. Turnes
    • E. Nakamura
    • C. Le
    • S. Becker
    • E. Sovero
    • M. Wakin
    • M. Grant
    • J. Romberg
    • A. Emami-Neyestanak
    • E. J. Candès
    A compressed sensing parameter extraction platform for radar pulse signal acquisition. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2012.
    @article{RMPI_20120630,
      author = {Yoo, Juhwan and Turnes, Christopher and Nakamura, Eric and Le, Chi and Becker, Stephen and Sovero, Emilio and Wakin, Michael and Grant, Michael and Romberg, Justin and Emami-Neyestanak, Azita and Cand{è}s, Emmanuel J},
      title = {A compressed sensing parameter extraction platform for radar pulse signal acquisition},
      journaltitle = {{IEEE} Journal on Emerging and Selected Topics in Circuits and Systems},
      publisher = {IEEE},
      volume = {2},
      number = {3},
      pages = {626--638},
      date = {2012},
      annotation = {2012b},
    }
    • M. Wakin
    • S. Becker
    • E. Nakamura
    • M. Grant
    • E. Sovero
    • D. Ching
    • J. Yoo
    • J. Romberg
    • A. Emami-Neyestanak
    • E. Candès
    A nonuniform sampler for wideband spectrally-sparse environments. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2012.
    @article{NUS_20120628,
      author = {Wakin, Michael and Becker, Stephen and Nakamura, Eric and Grant, Michael and Sovero, Emilio and Ching, Daniel and Yoo, Juhwan and Romberg, Justin and Emami-Neyestanak, Azita and Cand{è}s, Emmanuel},
      title = {A nonuniform sampler for wideband spectrally-sparse environments},
      journaltitle = {{IEEE} Journal on Emerging and Selected Topics in Circuits and Systems},
      publisher = {IEEE},
      volume = {2},
      number = {3},
      pages = {516--529},
      date = {2012},
      annotation = {2012a},
    }
  • 2011

    • M. Soltanolkotabi
    • E. J. Candès
    A geometric analysis of subspace clustering with outliers. The Annals of Statistics. 2012.
    @article{SubspaceClustering,
      author = {Soltanolkotabi, Mahdi and Cand{è}s, Emmanuel J},
      title = {A geometric analysis of subspace clustering with outliers},
      journaltitle = {The Annals of Statistics},
      publisher = {Institute of Mathematical Statistics},
      volume = {40},
      number = {4},
      pages = {2195--2238},
      date = {2012},
      annotation = {2011g},
    }
    • V. Studer
    • J. Bobin
    • M. Chahid
    • H. S. Mousavi
    • E. Candès
    • M. Dahan
    Compressive fluorescence microscopy for biological and hyperspectral imaging. Proceedings of the National Academy of Sciences. 2012.
    @article{CFM,
      author = {Studer, Vincent and Bobin, J{é}rome and Chahid, Makhlad and Mousavi, Hamed Shams and Cand{è}s, Emmanuel and Dahan, Maxime},
      title = {Compressive fluorescence microscopy for biological and hyperspectral imaging},
      journaltitle = {Proceedings of the National Academy of Sciences},
      publisher = {National Acad Sciences},
      volume = {109},
      number = {26},
      pages = {E1679--E1687},
      date = {2012},
      annotation = {2011f},
    }
    • E. Arias-Castro
    • E. J. Candès
    • M. Davenport
    • et al
    On the fundamental limits of adaptive sensing. IEEE Transactions on Information Theory. 2013.
    @article{adaptive,
      author = {Arias-Castro, Ery and Cand{è}s, Emmanuel J and Davenport, Mark and others},
      title = {On the fundamental limits of adaptive sensing},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {59},
      number = {1},
      pages = {472--481},
      date = {2013},
      annotation = {2011e},
    }
    • E. J. Candès
    • T. Strohmer
    • V. Voroninski
    PhaseLift: Exact and stable signal recovery from magnitude measurements via convex programming. Communications on Pure and Applied Mathematics. 2013.
    @article{ExactPR,
      author = {Cand{è}s, Emmanuel J and Strohmer, Thomas and Voroninski, Vladislav},
      title = {PhaseLift: Exact and stable signal recovery from magnitude measurements via convex programming},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {66},
      number = {8},
      pages = {1241--1274},
      date = {2013},
      annotation = {2011d},
    }
    • E. J. Candès
    • Y. C. Eldar
    • T. Strohmer
    • V. Voroninski
    Phase retrieval via matrix completion. SIAM Journal on Imaging Sciences. 2013.
    @article{PhaseRetrieval,
      author = {Cand{è}s, Emmanuel J and Eldar, Yonina C and Strohmer, Thomas and Voroninski, Vladislav},
      title = {Phase retrieval via matrix completion},
      journaltitle = {SIAM Journal on Imaging Sciences},
      publisher = {SIAM},
      volume = {6},
      number = {1},
      pages = {199--225},
      date = {2013},
      annotation = {2011c},
    }
    • E. Candès
    • B. Recht
    Simple bounds for recovering low-complexity models. Mathematical Programming. 2013.
    @article{dual_multiplier,
      author = {Cand{è}s, Emmanuel and Recht, Benjamin},
      title = {Simple bounds for recovering low-complexity models},
      journaltitle = {Mathematical Programming},
      publisher = {Springer},
      volume = {141},
      number = {1-2},
      pages = {577--589},
      date = {2013},
      annotation = {2011b},
    }
    • E. J. Candès
    • M. A. Davenport
    How well can we estimate a sparse vector?. Applied and Computational Harmonic Analysis. 2013.
    @article{HowWell,
      author = {Cand{è}s, Emmanuel J and Davenport, Mark A},
      title = {How well can we estimate a sparse vector?},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {34},
      number = {2},
      pages = {317--323},
      date = {2013},
      annotation = {2011a},
    }
  • 2010

    • E. J. Candès
    • Y. Plan
    A probabilistic and ripless theory of compressed sensing. IEEE Transactions on Information Theory. 2011.
    @article{IncoherenceCS,
      author = {Cand{è}s, Emmanuel J and Plan, Yaniv},
      title = {A probabilistic and RIPless theory of compressed sensing},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {57},
      number = {11},
      pages = {7235--7254},
      date = {2011},
      annotation = {2010g},
    }
    • S. Becker
    • E. J. Candès
    • M. Grant
    Templates for convex cone problems with applications to sparse signal recovery. Mathematical Programming Computation. 2011. (Website & code)
    @article{TFOCS,
      author = {Becker, Stephen and Cand{è}s, Emmanuel J and Grant, Michael},
      title = {Templates for convex cone problems with applications to sparse signal recovery},
      journaltitle = {Mathematical Programming Computation},
      publisher = {Springer},
      volume = {3},
      number = {3},
      pages = {165--218},
      date = {2011},
      annotation = {2010f},
    }
    • E. Arias-Castro
    • E. J. Candès
    • Y. Plan
    Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism. The Annals of Statistics. 2011.
    @article{GlobalTesting,
      author = {Arias-Castro, Ery and Cand{è}s, Emmanuel J and Plan, Yaniv},
      title = {Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism},
      journaltitle = {The Annals of Statistics},
      volume = {39},
      number = {5},
      pages = {2533--2556},
      date = {2011},
      annotation = {2010e},
    }
    • E. J. Candès
    • Y. C. Eldar
    • D. Needell
    • P. Randall
    Compressed sensing with coherent and redundant dictionaries. Applied and Computational Harmonic Analysis. 2011.
    @article{CoherentCS,
      author = {Cand{è}s, Emmanuel J and Eldar, Yonina C and Needell, Deanna and Randall, Paige},
      title = {Compressed sensing with coherent and redundant dictionaries},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {31},
      number = {1},
      pages = {59--73},
      date = {2011},
      annotation = {2010d},
    }
    • Z. Zhou
    • X. Li
    • J. Wright
    • E. Candès
    • Y. Ma
    Stable principal component pursuit. Proceedings of international symposium on information theory. 2010.
    @inproceedings{StableRPCA,
      author = {Zhou, Zihan and Li, Xiaodong and Wright, John and Cand{è}s, Emmanuel and Ma, Yi},
      title = {Stable principal component pursuit},
      booktitle = {Proceedings of International Symposium on Information Theory},
      organization = {IEEE},
      pages = {1518--1522},
      date = {2010-06},
      annotation = {2010c},
    }
    • A. Ganesh
    • J. Wright
    • X. Li
    • E. J. Candès
    • Y. Ma
    Dense error correction for low-rank matrices via principal component pursuit. Proceedings of international symposium on information theory. 2010.
    @inproceedings{DenseRPCA,
      author = {Ganesh, Arvind and Wright, John and Li, Xiaodong and Cand{è}s, Emmanuel J and Ma, Yi},
      title = {Dense error correction for low-rank matrices via principal component pursuit},
      booktitle = {Proceedings of International Symposium on Information Theory},
      organization = {IEEE},
      pages = {1513--1517},
      date = {2010-06},
      annotation = {2010b},
    }
    • E. Arias-Castro
    • E. J. Candès
    • A. Durand
    Detection of an anomalous cluster in a network. The Annals of Statistics. 2011.
    @article{ClusterDetect,
      author = {Arias-Castro, Ery and Cand{è}s, Emmanuel J and Durand, Arnaud},
      title = {Detection of an anomalous cluster in a network},
      journaltitle = {The Annals of Statistics},
      volume = {39},
      number = {1},
      pages = {278--304},
      date = {2011},
      annotation = {2010a},
    }
  • 2009

    • E. J. Candès
    • X. Li
    • Y. Ma
    • J. Wright
    Robust principal component analysis?. Journal of the ACM. 2011.
    @article{RobustPCA,
      author = {Cand{è}s, Emmanuel J and Li, Xiaodong and Ma, Yi and Wright, John},
      title = {Robust principal component analysis?},
      journaltitle = {Journal of the ACM},
      publisher = {ACM},
      volume = {58},
      number = {3},
      pages = {11},
      date = {2011},
      annotation = {2009f},
    }
    • E. J. Candès
    • Y. Plan
    Tight oracle inequalities for low-rank matrix recovery from a minimal number of noisy random measurements. IEEE Transactions on Information Theory. 2011.
    @article{MatrixOracle,
      author = {Cand{è}s, Emmanuel J and Plan, Yaniv},
      title = {Tight oracle inequalities for low-rank matrix recovery from a minimal number of noisy random measurements},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {57},
      number = {4},
      pages = {2342--2359},
      date = {2011},
      annotation = {2009e},
    }
    • A. Zymnis
    • S. Boyd
    • E. Candès
    Compressed sensing with quantized measurements. Signal Processing Letters. 2010.
    @article{quant_compr_sens,
      author = {Zymnis, Argyrios and Boyd, Stephen and Cand{è}s, Emmanuel},
      title = {Compressed sensing with quantized measurements},
      journaltitle = {Signal Processing Letters},
      publisher = {IEEE},
      volume = {17},
      number = {2},
      pages = {149--152},
      date = {2010},
      annotation = {2009d},
    }
    • S. Becker
    • J. Bobin
    • E. J. Candès
    NESTA: A fast and accurate first-order method for sparse recovery. SIAM Journal on Imaging Sciences. 2011. (Website & code)
    @article{NESTA,
      author = {Becker, Stephen and Bobin, J{é}r{ô}me and Cand{è}s, Emmanuel J},
      title = {NESTA: a fast and accurate first-order method for sparse recovery},
      journaltitle = {SIAM Journal on Imaging Sciences},
      publisher = {SIAM},
      volume = {4},
      number = {1},
      pages = {1--39},
      date = {2011},
      annotation = {2009c},
    }
    • E. J. Candès
    • Y. Plan
    Matrix completion with noise. Proceedings of the IEEE. 2010.
    @article{NoisyCompletion,
      author = {Cand{è}s, Emmanuel J and Plan, Yaniv},
      title = {Matrix completion with noise},
      journaltitle = {Proceedings of the {IEEE}},
      publisher = {IEEE},
      volume = {98},
      number = {6},
      pages = {925--936},
      date = {2010},
      annotation = {2009b},
    }
    • E. J. Candès
    • T. Tao
    The power of convex relaxation: Near-optimal matrix completion. IEEE Transactions on Information Theory. 2010.
    @article{OptimalCompletion,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {The power of convex relaxation: Near-optimal matrix completion},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {56},
      number = {5},
      pages = {2053--2080},
      date = {2010},
      annotation = {2009a},
    }
  • 2008

    • E. J. Candès
    • T. Tao
    Reflections on compressed sensing. IEEE Information Theory Society Newsletter. 2008.
    @article{itNL1208,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {Reflections on compressed sensing},
      journaltitle = {{IEEE} Information Theory Society Newsletter},
      volume = {58},
      number = {4},
      pages = {14--17},
      date = {2008},
      annotation = {2008e},
    }
    • J. Cai
    • E. J. Candès
    • Z. Shen
    A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization. 2010. (Website & code)
    @article{SVT,
      author = {Cai, Jian-Feng and Cand{è}s, Emmanuel J and Shen, Zuowei},
      title = {A singular value thresholding algorithm for matrix completion},
      journaltitle = {SIAM Journal on Optimization},
      publisher = {SIAM},
      volume = {20},
      number = {4},
      pages = {1956--1982},
      date = {2010},
      annotation = {2008d},
    }
    • E. Candès
    • L. Demanet
    • L. Ying
    A fast butterfly algorithm for the computation of fourier integral operators. Multiscale Modeling & Simulation. 2009.
    @article{ButterflyFIO,
      author = {Cand{è}s, Emmanuel and Demanet, Laurent and Ying, Lexing},
      title = {A fast butterfly algorithm for the computation of Fourier integral operators},
      journaltitle = {Multiscale Modeling \& Simulation},
      publisher = {SIAM},
      volume = {7},
      number = {4},
      pages = {1727--1750},
      date = {2009},
      annotation = {2008c},
    }
    • E. J. Candès
    • B. Recht
    Exact matrix completion via convex optimization. Foundations of Computational Mathematics. 2009.
    @article{MatrixCompletion,
      author = {Cand{è}s, Emmanuel J and Recht, Benjamin},
      title = {Exact matrix completion via convex optimization},
      journaltitle = {Foundations of Computational Mathematics},
      publisher = {Springer},
      volume = {9},
      number = {6},
      pages = {717--772},
      date = {2009},
      annotation = {2008b},
    }
    • E. J. Candès
    The restricted isometry property and its implications for compressed sensing. Comptes Rendus Mathematique. 2008.
    @article{RIP,
      author = {Cand{è}s, Emmanuel J},
      title = {The restricted isometry property and its implications for compressed sensing},
      journaltitle = {Comptes Rendus Mathematique},
      publisher = {Elsevier},
      volume = {346},
      number = {9},
      pages = {589--592},
      date = {2008},
      annotation = {2008a},
    }
  • 2007

    • E. J. Candès
    • Y. Plan
    Near-ideal model selection by $\ell_1$ minimization. The Annals of Statistics. 2009.
    @article{LassoPredict,
      author = {Cand{è}s, Emmanuel J and Plan, Yaniv},
      title = {Near-ideal model selection by $\ell_1$ minimization},
      journaltitle = {The Annals of Statistics},
      publisher = {Institute of Mathematical Statistics},
      volume = {37},
      number = {5A},
      pages = {2145--2177},
      date = {2009},
      annotation = {2007e},
    }
    • E. J. Candès
    • M. B. Wakin
    • S. P. Boyd
    Enhancing sparsity by reweighted $\ell_1$ minimization. Journal of Fourier Analysis and Applications. 2008.
    @article{rwl1,
      author = {Cand{è}s, Emmanuel J and Wakin, Michael B and Boyd, Stephen P},
      title = {Enhancing sparsity by reweighted $\ell_1$ minimization},
      journaltitle = {Journal of Fourier Analysis and Applications},
      publisher = {Springer},
      volume = {14},
      number = {5-6},
      pages = {877--905},
      date = {2008},
      annotation = {2007d},
    }
    • E. J. Candès
    • M. B. Wakin
    An introduction to compressive sampling. Signal Processing Magazine. 2008.
    @article{spm-robustcs-v05,
      author = {Cand{è}s, Emmanuel J and Wakin, Michael B},
      title = {An introduction to compressive sampling},
      journaltitle = {Signal Processing Magazine},
      publisher = {IEEE},
      volume = {25},
      number = {2},
      pages = {21--30},
      date = {2008},
      annotation = {2007c},
    }
    • E. J. Candès
    • T. Tao
    Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$. The Annals of Statistics. 2007.
    @article{rejoinder,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {Rejoinder: the {D}antzig selector: statistical estimation when $p$ is much larger than $n$},
      journaltitle = {The Annals of Statistics},
      volume = {35},
      number = {6},
      pages = {2392--2404},
      date = {2007},
      annotation = {2007b},
    }
    • E. Arias-Castro
    • E. J. Candès
    • H. Helgason
    • O. Zeitouni
    Searching for a trail of evidence in a maze. The Annals of Statistics. 2008.
    @article{PathDetect,
      author = {Arias-Castro, Ery and Cand{è}s, Emmanuel J and Helgason, Hannes and Zeitouni, Ofer},
      title = {Searching for a trail of evidence in a maze},
      journaltitle = {The Annals of Statistics},
      volume = {36},
      number = {4},
      pages = {1726--1757},
      date = {2008},
      annotation = {2007a},
    }
  • 2006

    • E. J. Candès
    • P. Randall
    Highly robust error correction by convex programming. IEEE Transactions on Information Theory. 2008.
    @article{GrossErrorsSmallErrors,
      author = {Cand{è}s, Emmanuel J and Randall, Paige},
      title = {Highly robust error correction by convex programming},
      journaltitle = {{IEEE} Transactions on Information Theory},
      publisher = {IEEE},
      volume = {54},
      number = {7},
      pages = {2829--2840},
      date = {2008},
      annotation = {2006f},
    }
    • E. J. Candès
    • J. Romberg
    Sparsity and incoherence in compressive sampling. Inverse Problems. 2007.
    @article{PartialMeasurements,
      author = {Cand{è}s, Emmanuel J and Romberg, Justin},
      title = {Sparsity and incoherence in compressive sampling},
      journaltitle = {Inverse Problems},
      publisher = {IOP Publishing},
      volume = {23},
      number = {3},
      pages = {969},
      date = {2007},
      annotation = {2006e},
    }
    • E. J. Candès
    • L. Demanet
    • L. Ying
    Fast computation of fourier integral operators. SIAM Journal on Scientific Computing. 2007.
    @article{FastFIO,
      author = {Cand{è}s, Emmanuel J and Demanet, Laurent and Ying, Lexing},
      title = {Fast computation of Fourier integral operators},
      journaltitle = {SIAM Journal on Scientific Computing},
      publisher = {SIAM},
      volume = {29},
      number = {6},
      pages = {2464--2493},
      date = {2007},
      annotation = {2006d},
    }
    • E. J. Candès
    Compressive sampling. Proceedings of the international congress of mathematicians. 2006.
    @inproceedings{CompressiveSampling,
      author = {Cand{è}s, Emmanuel J},
      title = {Compressive sampling},
      booktitle = {Proceedings of the International Congress of Mathematicians},
      volume = {3},
      pages = {1433--1452},
      date = {2006},
      annotation = {2006c},
      location = {Madrid, Spain},
    }
    • E. J. Candès
    • P. R. Charlton
    • H. Helgason
    Detecting highly oscillatory signals by chirplet path pursuit. Applied and Computational Harmonic Analysis. 2008.
    @article{ChirpDetection,
      author = {Cand{è}s, Emmanuel J and Charlton, Philip R and Helgason, Hannes},
      title = {Detecting highly oscillatory signals by chirplet path pursuit},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {24},
      number = {1},
      pages = {14--40},
      date = {2008},
      annotation = {2006b},
    }
    • E. J. Candès
    • L. Ying
    Fast geodesics computation with the phase flow method. Journal of Computational Physics. 2006.
    @article{GeodesicFlow,
      author = {Cand{è}s, Emmanuel J and Ying, Lexing},
      title = {Fast geodesics computation with the phase flow method},
      journaltitle = {Journal of Computational Physics},
      publisher = {Elsevier},
      volume = {220},
      number = {1},
      pages = {6--18},
      date = {2006},
      annotation = {2006a},
    }
  • 2005

    • E. J. Candès
    Modern statistical estimation via oracle inequalities. Acta Numerica. 2006.
    @article{NonlinearEstimation,
      author = {Cand{è}s, Emmanuel J},
      title = {Modern statistical estimation via oracle inequalities},
      journaltitle = {Acta Numerica},
      publisher = {Cambridge University Press},
      volume = {15},
      pages = {257--325},
      date = {2006},
      annotation = {2005f},
    }
    • E. J. Candès
    • L. Ying
    The phase flow method. Journal of Computational Physics. 2006.
    @article{PhaseFlow,
      author = {Cand{è}s, Emmanuel J and Ying, Lexing},
      title = {The phase flow method},
      journaltitle = {Journal of Computational Physics},
      publisher = {Elsevier},
      volume = {220},
      number = {1},
      pages = {184--215},
      date = {2006},
      annotation = {2005e},
    }
    • E. J. Candès
    • L. Demanet
    • D. Donoho
    • L. Ying
    Fast discrete curvelet transforms. Multiscale Modeling & Simulation. 2006. (Website & code)
    @article{FDCT,
      author = {Cand{è}s, Emmanuel J and Demanet, Laurent and Donoho, David and Ying, Lexing},
      title = {Fast discrete curvelet transforms},
      journaltitle = {Multiscale Modeling \& Simulation},
      publisher = {SIAM},
      volume = {5},
      number = {3},
      pages = {861--899},
      date = {2006},
      annotation = {2005d},
    }
    • E. J. Candès
    • T. Tao
    The Dantzig selector: Statistical estimation when $p$ is much larger than $n$. The Annals of Statistics. 2007.
    @article{DantzigSelector,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {The {D}antzig selector: statistical estimation when $p$ is much larger than $n$},
      journaltitle = {The Annals of Statistics},
      volume = {35},
      number = {6},
      pages = {2313--2351},
      date = {2007},
      annotation = {2005c},
    }
    • E. J. Candès
    • M. Rudelson
    • T. Tao
    • R. Vershynin
    Error correction via linear programming. Proceedings of the 46th annual IEEE symposium on foundations of computer science (focs). 2005.
    @inproceedings{FOCS05,
      author = {Cand{è}s, Emmanuel J and Rudelson, Mark and Tao, Terence and Vershynin, Roman},
      title = {Error correction via linear programming},
      booktitle = {Proceedings of the 46th Annual {IEEE} Symposium on Foundations of Computer Science (FOCS)},
      organization = {IEEE},
      pages = {295--308},
      date = {2005},
      annotation = {2005b},
    }
    • E. J. Candès
    • J. Romberg
    • T. Tao
    Stable signal recovery from incomplete and inaccurate measurements. Communications on Pure and Applied Mathematics. 2006.
    @article{StableRecovery,
      author = {Cand{è}s, Emmanuel J and Romberg, Justin and Tao, Terence},
      title = {Stable signal recovery from incomplete and inaccurate measurements},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {59},
      number = {8},
      pages = {1207--1223},
      date = {2006},
      annotation = {2005a},
    }
  • 2004

    • E. J. Candès
    • T. Tao
    Decoding by linear programming. IEEE Transactions on Information Theory. 2005.
    @article{DecodingLP,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {Decoding by linear programming},
      journaltitle = {{IEEE} Transactions on Information Theory},
      volume = {51},
      number = {12},
      pages = {4203--4215},
      date = {2005},
      annotation = {2004f},
    }
    • E. J. Candès
    • J. Romberg
    Practical signal recovery from random projections. Wavelet applications in signal and image processing xi. 2005.
    @inproceedings{PracticalRecovery,
      author = {Cand{è}s, Emmanuel J and Romberg, Justin},
      title = {Practical signal recovery from random projections},
      booktitle = {Wavelet Applications in Signal and Image Processing XI},
      volume = {5914},
      date = {2005},
      annotation = {2004e},
      series = {Proc. SPIE},
    }
    • E. J. Candès
    • T. Tao
    Near-optimal signal recovery from random projections: Universal encoding strategies?. IEEE Transactions on Information Theory. 2006.
    @article{OptimalRecovery,
      author = {Cand{è}s, Emmanuel J and Tao, Terence},
      title = {Near-optimal signal recovery from random projections: Universal encoding strategies?},
      journaltitle = {{IEEE} Transactions on Information Theory},
      volume = {52},
      number = {12},
      pages = {5406--5425},
      date = {2006},
      annotation = {2004d},
    }
    • E. J. Candès
    • J. Romberg
    Quantitative robust uncertainty principles and optimally sparse decompositions. Foundations of Computational Mathematics. 2006.
    @article{RandomBasisPursuit,
      author = {Cand{è}s, Emmanuel J and Romberg, Justin},
      title = {Quantitative robust uncertainty principles and optimally sparse decompositions},
      journaltitle = {Foundations of Computational Mathematics},
      publisher = {Springer},
      volume = {6},
      number = {2},
      pages = {227--254},
      date = {2006},
      annotation = {2004c},
    }
    • E. J. Candès
    • J. Romberg
    • T. Tao
    Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory. 2006. (Website & code)
    @article{ExactRecovery,
      author = {Cand{è}s, Emmanuel J and Romberg, Justin and Tao, Terence},
      title = {Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information},
      journaltitle = {{IEEE} Transactions on Information Theory},
      volume = {52},
      number = {2},
      pages = {489--509},
      date = {2006},
      annotation = {2004b},
    }
    • E. J. Candès
    • L. Demanet
    The curvelet representation of wave propagators is optimally sparse. Communications on Pure and Applied Mathematics. 2005.
    @article{CurveletsWaves,
      author = {Cand{è}s, Emmanuel J and Demanet, Laurent},
      title = {The curvelet representation of wave propagators is optimally sparse},
      journaltitle = {Communications on Pure and Applied Mathematics},
      volume = {58},
      number = {11},
      pages = {1472--1528},
      date = {2005},
      annotation = {2004a},
    }
  • 2003

    • E. J. Candès
    • D. L. Donoho
    Continuous curvelet transform: I. Resolution of the wavefront set. Applied and Computational Harmonic Analysis. 2005.
    @article{ContCurveletTransform-I,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Continuous curvelet transform: I. Resolution of the wavefront set},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {19},
      number = {2},
      pages = {162--197},
      date = {2005},
      annotation = {2003a},
    }
    • E. J. Candès
    • D. L. Donoho
    Continuous curvelet transform: II. Discretization and frames. Applied and Computational Harmonic Analysis. 2005.
    @article{ContCurveletTransform-II,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Continuous curvelet transform: II. Discretization and frames},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {19},
      number = {2},
      pages = {198--222},
      date = {2005},
      annotation = {2003b},
    }
  • 2002

    • E. J. Candès
    Multiscale chirplets and near-optimal recovery of chirps. Technical Report, Department of Statistics, Stanford University. 2002.
    @report{Chirplets,
      author = {Cand{è}s, Emmanuel J},
      title = {Multiscale chirplets and near-optimal recovery of chirps},
      date = {2002},
      annotation = {2002g},
      institution = {Department of Statistics, Stanford University},
      type = {techreport},
    }
    • E. J. Candès
    • D. L. Donoho
    New tight frames of curvelets and optimal representations of objects with piecewise c2 singularities. Communications on Pure and Applied Mathematics. 2004.
    @article{CurveEdges,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities},
      journaltitle = {Communications on Pure and Applied Mathematics},
      publisher = {Wiley Online Library},
      volume = {57},
      number = {2},
      pages = {219--266},
      date = {2004},
      annotation = {2002f},
    }
    • E. J. Candès
    • L. Demanet
    Curvelets and fourier integral operators. Comptes Rendus Mathematique. 2003.
    @article{CurveletsFIO,
      author = {Cand{è}s, Emmanuel J and Demanet, Laurent},
      title = {Curvelets and Fourier integral operators},
      journaltitle = {Comptes Rendus Mathematique},
      publisher = {Elsevier},
      volume = {336},
      number = {5},
      pages = {395--398},
      date = {2003},
      annotation = {2002e},
    }
    • J. Starck
    • D. L. Donoho
    • E. J. Candès
    Astronomical image representation by the curvelet transform. Astronomy & Astrophysics. 2003.
    @article{Astro,
      author = {Starck, Jean-Luc and Donoho, David L and Cand{è}s, Emmanuel J},
      title = {Astronomical image representation by the curvelet transform},
      journaltitle = {Astronomy \& Astrophysics},
      publisher = {EDP Sciences},
      volume = {398},
      number = {2},
      pages = {785--800},
      date = {2003},
      annotation = {2002d},
    }
    • A. G. Flesia
    • H. Hel-Or
    • A. Averbuch
    • E. J. Candès
    • R. R. Coifman
    • D. L. Donoho
    Digital implementation of ridgelet packets. Studies in Computational Mathematics. 2003.
    @article{DIoRP,
      author = {Flesia, A G and Hel-Or, H and Averbuch, A and Cand{è}s, Emmanuel J and Coifman, R R and Donoho, David L},
      title = {Digital implementation of ridgelet packets},
      journaltitle = {Studies in Computational Mathematics},
      publisher = {Elsevier},
      volume = {10},
      pages = {31--60},
      date = {2003},
      annotation = {2002c},
    }
    • E. J. Candès
    • F. Guo
    New multiscale transforms, minimum total variation synthesis: Applications to edge-preserving image reconstruction. Signal Processing. 2002.
    @article{TV_synthesis,
      author = {Cand{è}s, Emmanuel J and Guo, Franck},
      title = {New multiscale transforms, minimum total variation synthesis: Applications to edge-preserving image reconstruction},
      journaltitle = {Signal Processing},
      publisher = {Elsevier},
      volume = {82},
      number = {11},
      pages = {1519--1543},
      date = {2002},
      annotation = {2002b},
    }
    • E. J. Candès
    New ties between computational harmonic analysis and approximation theory. Approximation theory x. 2002.
    @inproceedings{at_popov,
      author = {Cand{è}s, Emmanuel J},
      title = {New ties between computational harmonic analysis and approximation theory},
      booktitle = {Approximation Theory X},
      publisher = {Vanderbilt University Press},
      pages = {87--153},
      date = {2002},
      annotation = {2002a},
    }
  • 2001

    • J. Starck
    • F. Murtagh
    • E. J. Candès
    • D. L. Donoho
    Gray and color image contrast enhancement by the curvelet transform. IEEE Transactions on Image Processing. 2003.
    @article{Cont_Enhance,
      author = {Starck, Jean-Luc and Murtagh, Fionn and Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Gray and color image contrast enhancement by the curvelet transform},
      journaltitle = {{IEEE} Transactions on Image Processing},
      publisher = {IEEE},
      volume = {12},
      number = {6},
      pages = {706--717},
      date = {2003},
      annotation = {2001b},
    }
    • J. Starck
    • E. J. Candès
    • D. L. Donoho
    Very high quality image restoration by combining wavelets and curvelets. Wavelet applications in signal and image processing ix. 2001.
    @inproceedings{SPIE01,
      author = {Starck, Jean-Luc and Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Very high quality image restoration by combining wavelets and curvelets},
      booktitle = {Wavelet Applications in Signal and Image Processing IX},
      volume = {4478},
      date = {2001},
      annotation = {2001a},
      editor = {Aldroubi, A and Laine, A F and Unser, M A},
      series = {Proc. SPIE},
    }
  • 2000

    • J. Starck
    • E. J. Candès
    • D. L. Donoho
    The curvelet transform for image denoising. IEEE Transactions on Image Processing. 2002.
    @article{CurveDenoise,
      author = {Starck, Jean-Luc and Cand{è}s, Emmanuel J and Donoho, David L},
      title = {The curvelet transform for image denoising},
      journaltitle = {{IEEE} Transactions on Image Processing},
      publisher = {IEEE},
      volume = {11},
      number = {6},
      pages = {670--684},
      date = {2002},
      annotation = {2000e},
    }
    • E. J. Candès
    • D. L. Donoho
    Curvelets, multiresolution representation, and scaling laws. Wavelet applications in signal and image processing viii. 2000.
    @inproceedings{SPIE_Curvelets,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Curvelets, multiresolution representation, and scaling laws},
      booktitle = {Wavelet Applications in Signal and Image Processing VIII},
      volume = {4119},
      date = {2000},
      annotation = {2000d},
      editor = {Aldroubi, A and Laine, A F and Unser, M A},
      series = {Proc. SPIE},
    }
    • E. J. Candès
    • D. L. Donoho
    Curvelets and reconstruction of images from noisy radon data. Wavelet applications in signal and image processing viii. 2000.
    @inproceedings{SPIE_Radon,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Curvelets and reconstruction of images from noisy radon data},
      booktitle = {Wavelet Applications in Signal and Image Processing VIII},
      volume = {4119},
      date = {2000},
      annotation = {2000c},
      editor = {Aldroubi, A and Laine, A F and Unser, M A},
      series = {Proc. SPIE},
    }
    • E. J. Candès
    • D. L. Donoho
    Recovering edges in ill-posed inverse problems: Optimality of curvelet frames. Annals of Statistics. 2002.
    @article{CurveInverse,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Recovering edges in ill-posed inverse problems: Optimality of curvelet frames},
      journaltitle = {Annals of Statistics},
      publisher = {JSTOR},
      pages = {784--842},
      date = {2002},
      annotation = {2000b},
    }
    • E. J. Candès
    • D. L. Donoho
    Curvelets and curvilinear integrals. Journal of Approximation Theory. 2001.
    @article{Curves_and_Curvelets,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Curvelets and curvilinear integrals},
      journaltitle = {Journal of Approximation Theory},
      publisher = {Elsevier},
      volume = {113},
      number = {1},
      pages = {59--90},
      date = {2001},
      annotation = {2000a},
    }
  • 1999

    • E. J. Candès
    Ridgelets and their derivatives: Representation of images with edges. Curves and surfaces.
    • L. L. Schumaker
    • et al
    (eds.), Vanderbilt University Press. 1999.
    @incollection{StMalo,
      author = {Cand{è}s, Emmanuel J},
      title = {Ridgelets and their derivatives: Representation of images with edges},
      booktitle = {Curves and Surfaces},
      publisher = {Vanderbilt University Press},
      date = {1999},
      annotation = {1999g},
      editor = {Schumaker, Larry L and others},
    }
    • E. J. Candès
    • D. L. Donoho
    Curvelets: A surprisingly effective nonadaptive representation for objects with edges. Curves and surfaces.
    • L. L. Schumaker
    • et al
    (eds.), Vanderbilt University Press. 1999.
    @incollection{Curvelet-SMStyle,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Curvelets: A surprisingly effective nonadaptive representation for objects with edges},
      booktitle = {Curves and Surfaces},
      publisher = {Vanderbilt University Press},
      date = {1999},
      annotation = {1999f},
      editor = {Schumaker, Larry L and others},
    }
    • E. J. Candès
    Ridgelets: Estimating with ridge functions. Annals of Statistics. 2003.
    @article{Ridgelet_Stat,
      author = {Cand{è}s, Emmanuel J},
      title = {Ridgelets: estimating with ridge functions},
      journaltitle = {Annals of Statistics},
      publisher = {JSTOR},
      pages = {1561--1599},
      date = {2003},
      annotation = {1999e},
    }
    • E. J. Candès
    Ridgelets and the representation of mutilated sobolev functions. SIAM Journal on Mathematical Analysis. 2001.
    @article{Mutilated,
      author = {Cand{è}s, Emmanuel J},
      title = {Ridgelets and the representation of mutilated Sobolev functions},
      journaltitle = {SIAM Journal on Mathematical Analysis},
      publisher = {SIAM},
      volume = {33},
      number = {2},
      pages = {347--368},
      date = {2001},
      annotation = {1999d},
    }
    • E. J. Candès
    Monoscale ridgelets for the representation of images with edges. Technical Report, Department of Statistics, Stanford University. 1999.
    @report{Monoscale,
      author = {Cand{è}s, Emmanuel J},
      title = {Monoscale ridgelets for the representation of images with edges},
      date = {1999},
      annotation = {1999c},
      institution = {Department of Statistics, Stanford University},
      type = {techreport},
    }
    • E. J. Candès
    • D. L. Donoho
    Ridgelets: A key to higher-dimensional intermittency?. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. 1999.
    @article{RoySoc,
      author = {Cand{è}s, Emmanuel J and Donoho, David L},
      title = {Ridgelets: A key to higher-dimensional intermittency?},
      journaltitle = {Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences},
      publisher = {The Royal Society},
      volume = {357},
      number = {1760},
      pages = {2495--2509},
      date = {1999},
      annotation = {1999b},
    }
    • E. J. Candès
    Harmonic analysis of neural networks. Applied and Computational Harmonic Analysis. 1999.
    @article{Harm_Net,
      author = {Cand{è}s, Emmanuel J},
      title = {Harmonic analysis of neural networks},
      journaltitle = {Applied and Computational Harmonic Analysis},
      publisher = {Elsevier},
      volume = {6},
      number = {2},
      pages = {197--218},
      date = {1999},
      annotation = {1999a},
    }
  • 1998

    • E. J. Candès
    Ridgelets: Theory and applications. PhD Thesis, Department of Statistics, Stanford University. 1998.
    @thesis{Thesis,
      author = {Cand{è}s, Emmanuel J},
      title = {Ridgelets: theory and applications},
      date = {1998},
      annotation = {1998},
      institution = {Department of Statistics, Stanford University},
      type = {phdthesis},
    }