@article{gibbs2025characterizingtrainingconditionalcoverageconformal,
  author = {Gibbs, Isaac and Candès, Emmanuel J.},
  title = {Characterizing the Training-Conditional Coverage of Full Conformal Inference in High Dimensions},
  date = {2025},
  annotation = {2025c},
  eprint = {2502.20579},
  eprintclass = {math.ST},
  eprinttype = {arXiv},
  url = {https://arxiv.org/abs/2502.20579},
}

@article{huang2025automatedhypothesisvalidationagentic,
  author = {Huang, Kexin and Jin, Ying and Li, Ryan and Li, Michael Y. and Candès, Emmanuel and Leskovec, Jure},
  title = {Automated Hypothesis Validation with Agentic Sequential Falsifications},
  date = {2025},
  annotation = {2025b},
  eprint = {2502.09858},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
  url = {https://arxiv.org/abs/2502.09858},
}

@article{muennighoff2025s1simpletesttimescaling,
  author = {Muennighoff, Niklas and Yang, Zitong and Shi, Weijia and Li, Xiang Lisa and Fei-Fei, Li and Hajishirzi, Hannaneh and Zettlemoyer, Luke and Liang, Percy and Candès, Emmanuel and Hashimoto, Tatsunori},
  title = {s1: Simple test-time scaling},
  date = {2025},
  annotation = {2025a},
  eprint = {2501.19393},
  eprintclass = {cs.CL},
  eprinttype = {arXiv},
  url = {https://arxiv.org/abs/2501.19393},
}

@article{zhang2024posteriorconformalprediction,
  author = {Zhang, Yao and Candès, Emmanuel J.},
  title = {Posterior Conformal Prediction},
  date = {2024},
  annotation = {2024m},
  eprint = {2409.19712},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{nobel2024randalooutofsampleriskestimation,
  author = {Nobel, Parth T. and LeJeune, Daniel and Candès, Emmanuel J.},
  title = {RandALO: Out-of-sample risk estimation in no time flat},
  date = {2024},
  annotation = {2024l},
  eprint = {2409.09781},
  eprintclass = {math.ST},
  eprinttype = {arXiv},
}

@article{yang2024synthetic,
  author = {Yang, Zitong and Band, Neil and Li, Shuangping and Candès, Emmanuel and Hashimoto, Tatsunori},
  title = {Synthetic continued pretraining},
  date = {2024},
  annotation = {2024k},
  eprint = {2409.07431},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
}

@article{gligoric2024unconfident,
  author = {{Gligorić}, Kristina and {Zrnic}, Tijana and {Lee}, Cinoo and {Candès}, Emmanuel J. and {Jurafsky}, Dan},
  title = {Can unconfident LLM annotations be used for confident conclusions?},
  date = {2024},
  annotation = {2024j},
  eprint = {2408.15204},
  eprintclass = {cs.CL},
  eprinttype = {arXiv},
}

@article{chu2024second,
  author = {Chu, Benjamin B and Gu, Jiaqi and Chen, Zhaomeng and Morrison, Tim and Candès, Emmanuel and He, Zihuai and Sabatti, Chiara},
  title = {Second-order group knockoffs with applications to GWAS},
  journaltitle = {Bioinformatics},
  pages = {btae580},
  date = {2024-09},
  annotation = {2024i},
  doi = {10.1093/bioinformatics/btae580},
  url = {https://doi.org/10.1093/bioinformatics/btae580},
}

@inproceedings{cherian2024large,
  author = {Cherian, John J. and Gibbs, Isaac and Candès, Emmanuel J.},
  title = {Large language model validity via enhanced conformal prediction methods},
  booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Proc. 38th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, BC, Dec 9-15},
  date = {2024},
  annotation = {2024h},
  pubstate = {Forthcoming},
}

@inproceedings{xie2024boosted,
  author = {Xie, Ran and Barber, Rina Foygel and Candès, Emmanuel J.},
  title = {Boosted Conformal Prediction Intervals},
  booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Proc. 38th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, BC, Dec 9-15},
  date = {2024},
  annotation = {2024g},
  pubstate = {Forthcoming},
}

@article{spector2024mosaic,
  author = {Spector, Asher and Barber, Rina Foygel and Hastie, Trevor and Kahn, Ronald N. and Candès, Emmanuel},
  title = {The mosaic permutation test: An exact and nonparametric goodness-of-fit test for factor models},
  date = {2024},
  annotation = {2024f},
  eprint = {2404.15017},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{He2024.02.28.582621,
  author = {He, Zihuai and Chu, Benjamin and Yang, James and Gu, Jiaqi and Chen, Zhaomeng and Liu, Linxi and Morrison, Tim and Belloy, Michael E. and Qi, Xinran and Hejazi, Nima and Mathur, Maya and Guen, Yann Le and Tang, Hua and Hastie, Trevor and Ionita-laza, Iuliana and Sabatti, Chiara and Candès, Emmanuel},
  title = {In silico identification of putative causal genetic variants},
  journaltitle = {bioRxiv},
  publisher = {Cold Spring Harbor Laboratory},
  date = {2024},
  annotation = {2024e},
  doi = {10.1101/2024.02.28.582621},
  url = {https://www.biorxiv.org/content/early/2024/03/03/2024.02.28.582621},
}

@inproceedings{zrnic2024active,
  author = {Zrnic, Tijana and Candès, Emmanuel J.},
  title = {Active Statistical Inference},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  publisher = {PMLR},
  volume = {235},
  pages = {62993--63010},
  date = {2024-21},
  annotation = {2024d},
  editor = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
  file = {https://raw.githubusercontent.com/mlresearch/v235/main/assets/zrnic24a/zrnic24a.pdf},
  series = {Proceedings of Machine Learning Research},
  url = {https://proceedings.mlr.press/v235/zrnic24a.html},
}

@article{zeger2024library,
  author = {Zeger, Emi and Wang, Yifei and Mishkin, Aaron and Ergen, Tolga and Candès, Emmanuel and Pilanci, Mert},
  title = {A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features},
  journaltitle = {SIAM Journal on Mathematics of Data Science},
  date = {2024},
  annotation = {2024c},
  eprint = {2403.01046},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
  pubstate = {Submitted},
}

@article{chen2024controlled,
  author = {Chen, Zhaomeng and He, Zihuai and Chu, Benjamin B. and Gu, Jiaqi and Morrison, Tim and Sabatti, Chiara and Candès, Emmanuel},
  title = {Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression},
  date = {2024},
  annotation = {2024b},
  eprint = {2402.12724},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{yang2024bellman,
  author = {Yang, Zitong and Candès, Emmanuel and Lei, Lihua},
  title = {Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series},
  date = {2024},
  annotation = {2024a},
  eprint = {2402.05203},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
}

@article{zrnic2023crosspredictionpowered,
  author = {Zrnic, Tijana and Candès, Emmanuel J.},
  title = {Cross-Prediction-Powered Inference},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {121},
  number = {15},
  pages = {e2322083121},
  date = {2024},
  annotation = {2023i},
  doi = {10.1073/pnas.2322083121},
}

@inproceedings{angelopoulos2023conformal,
  author = {Angelopoulos, Anastasios N. and Candès, Emmanuel J. and Tibshirani, Ryan J.},
  title = {Conformal {PID} Control for Time Series Prediction},
  booktitle = {NeurIPS 2023},
  date = {2023},
  annotation = {2023h},
  eprint = {2307.16895},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
}

@article{jin2023modelfree,
  author = {Jin, Ying and Candès, Emmanuel J.},
  title = {Model-free selective inference under covariate shift via weighted conformal p-values},
  date = {2023},
  annotation = {2023g},
  eprint = {2307.09291},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{jang2023tight,
  author = {Jang, Jayoon and Candès, Emmanuel},
  title = {Tight Distribution-Free Confidence Intervals for Local Quantile Regression},
  date = {2023},
  annotation = {2023f},
  eprint = {2307.08594},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@inproceedings{huang2023uncertainty,
  author = {Huang, Kexin and Jin, Ying and Candès, Emmanuel and Leskovec, Jure},
  title = {Uncertainty Quantification over Graph with Conformalized Graph Neural Networks},
  booktitle = {NeurIPS 2023},
  date = {2023},
  annotation = {2023e},
  eprint = {2305.14535},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
}

@article{gibbs2023conformal,
  author = {Gibbs, Isaac and Cherian, John J. and Candès, Emmanuel J.},
  title = {Conformal Prediction With Conditional Guarantees},
  date = {2023},
  annotation = {2023d},
  eprint = {2305.12616},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{cherian2023statistical,
  author = {Cherian, John J. and Candès, Emmanuel J.},
  title = {Statistical Inference for Fairness Auditing},
  journaltitle = {Journal of Machine Learning Research},
  volume = {25},
  number = {149},
  pages = {1--49},
  date = {2024},
  annotation = {2023c},
  url = {https://jmlr.org/papers/v25/23-0739.html},
}

@article{spector2023discussion,
  author = {Spector, Asher and Candès, Emmanuel and Lei, Lihua},
  title = {A Discussion of “{A} Note on Universal Inference” by {T}se and {D}avison},
  journaltitle = {Stat},
  volume = {12},
  number = {1},
  pages = {e570},
  date = {2023},
  annotation = {2023b},
  doi = {10.1002/sta4.570},
}

@article{barber2023finettis,
  author = {Barber, Rina Foygel and Candès, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan J.},
  title = {De Finetti's theorem and related results for infinite weighted exchangeable sequences},
  journaltitle = {Bernoulli},
  volume = {30},
  number = {4},
  pages = {3004--3028},
  date = {2024},
  annotation = {2023a},
  doi = {10.3150/23-BEJ1704},
}

@article{wang2022relu,
  author = {{Wang}, Yifei and {Hua}, Yixuan and {Candés}, Emmanuel and {Pilanci}, Mert},
  title = {{Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery}},
  journaltitle = {IEEE Transactions on Information Theory},
  date = {2022-09},
  annotation = {2022h},
  eprint = {2209.15265},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
  pubstate = {Forthcoming},
}

@article{nobel2022tractable,
  author = {Nobel, Parth and Candès, Emmanuel and Boyd, Stephen},
  title = {Tractable Evaluation of {S}tein's Unbiased Risk Estimator with Convex Regularizers},
  journaltitle = {IEEE Transactions on Signal Processing},
  volume = {71},
  pages = {4330--4341},
  date = {2023},
  annotation = {2022g},
  doi = {10.1109/TSP.2023.3323046},
}

@article{jin2022selection,
  author = {Jin, Ying and Candès, Emmanuel J.},
  title = {Selection by Prediction with Conformal p-values},
  journaltitle = {Journal of Machine Learning Research},
  volume = {24},
  number = {244},
  pages = {1--41},
  date = {2023},
  annotation = {2022f},
  url = {https://jmlr.org/papers/v24/22-1176.html},
}

@article{zhao2022adaptively,
  author = {Zhao, Qian and Cand{ès}, Emmanuel J.},
  title = {An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models},
  journaltitle = {Statistica Sinica},
  volume = {35},
  pages = {91--110},
  date = {2025},
  annotation = {2022e},
  doi = {10.5705/ss.202022.0296},
}

@article{gibbs2022conformal,
  author = {Gibbs, Isaac and Cand{è}s, Emmanuel},
  title = {Conformal Inference for Online Prediction with Arbitrary Distribution Shifts},
  journaltitle = {Journal of Machine Learning Research},
  volume = {25},
  number = {162},
  pages = {1--36},
  date = {2024},
  annotation = {2022d},
  url = {https://jmlr.org/papers/v25/22-1218.html},
}

@article{barber2022permutation,
  author = {{Foygel Barber}, Rina and Cand{è}s, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan J.},
  title = {Permutation tests using arbitrary permutation distributions},
  journaltitle = {Sankhya A},
  volume = {85},
  number = {2},
  pages = {1156--1177},
  date = {2023},
  annotation = {2022c},
  doi = {10.1007/s13171-023-00308-8},
}

@article{chia2022raman,
  author = {Chia, Charmaine and Sesia, Matteo and Ho, Chi-Sing and Jeffrey, Stefanie S. and Dionne, Jennifer and Candès, Emmanuel J. and Howe, Roger T.},
  title = {Interpretable classification of bacterial Raman spectra with knockoff wavelets},
  journaltitle = {IEEE Journal of Biomedical and Health Informatics},
  volume = {26},
  number = {2},
  pages = {740--748},
  date = {2022},
  annotation = {2022b},
  doi = {10.1109/JBHI.2021.3094873},
}

@article{barber2022conformal,
  author = {Barber, Rina Foygel and Candès, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan J.},
  title = {Conformal prediction beyond exchangeability},
  journaltitle = {Annals of Statistics},
  volume = {51},
  number = {2},
  pages = {816--845},
  date = {2023},
  annotation = {2022a},
  doi = {10.1214/23-AOS2276},
}

@article{He2021.12.06.471440,
  author = {He, Zihuai and Liu, Linxi and Belloy, Michael E. and Le Guen, Yann and Sossin, Aaron and Liu, Xiaoxia and Qi, Xinran and Ma, Shiyang and Wyss-Coray, Tony and Tang, Hua and Sabatti, Chiara and Candes, Emmanuel and Greicius, Michael D. and Ionita-Laza, Iuliana},
  title = {GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies},
  journaltitle = {Nature Communications},
  volume = {13},
  pages = {7209},
  date = {2022},
  annotation = {2021i},
  doi = {10.1038/s41467-022-34932-z},
  issue = {1},
}

@article{jin2021sensitivity,
  author = {Jin, Ying and Ren, Zhimei and Candès, Emmanuel J.},
  title = {Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {120},
  number = {6},
  pages = {e2214889120},
  date = {2023},
  annotation = {2021h},
  doi = {10.1073/pnas.2214889120},
}

@article{angelopoulos2021learn,
  author = {Angelopoulos, Anastasios N. and Bates, Stephen and Candès, Emmanuel J. and Jordan, Michael I. and Lei, Lihua},
  title = {Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control},
  journaltitle = {Annals of Applied Statistics},
  date = {2021},
  annotation = {2021g},
  eprint = {2110.01052},
  eprintclass = {cs.LG},
  eprinttype = {arXiv},
}

@article{li2021deploying,
  author = {Li, Shuangning and Candès, Emmanuel J.},
  title = {Deploying the Conditional Randomization Test in High Multiplicity Problems},
  date = {2021},
  annotation = {2021f},
  eprint = {2110.02422},
  eprintclass = {stat.ME},
  eprinttype = {arXiv},
}

@article{li2021searching,
  author = {Li, S and Sesia, M and Romano, Y and Candès, E and Sabatti, C},
  title = {Searching for robust associations with a multi-environment knockoff filter},
  journaltitle = {Biometrika},
  volume = {109},
  number = {3},
  pages = {611--629},
  date = {2022-11},
  annotation = {2021e},
  doi = {10.1093/biomet/asab055},
  eprint = {https://academic.oup.com/biomet/article-pdf/109/3/611/45512119/asab055.pdf},
}

@inproceedings{gibbs2021adaptive,
  author = {Gibbs, Isaac and Candès, Emmanuel},
  title = {Adaptive Conformal Inference Under Distribution Shift},
  booktitle = {Advances in Neural Information Processing Systems 34 (NeurIPS 2021)},
  publisher = {Curran Associates, Inc.},
  pages = {1660--1672},
  date = {2021},
  annotation = {2021d},
  editor = {Ranzato, M. and Beygelzimer, A. and Dauphin, Y. and Liang, P.S. and Vaughan, J. Wortman},
  url = {https://proceedings.neurips.cc/paper/2021/file/0d441de75945e5acbc865406fc9a2559-Paper.pdf},
}

@article{bates2021multiple,
  author = {Bates, Stephen and Candès, Emmanuel and Lei, Lihua and Romano, Yaniv and Sesia, Matteo},
  title = {Testing for outliers with conformal p-values},
  journaltitle = {Annals of Statistics},
  volume = {51},
  number = {1},
  pages = {149--178},
  date = {2023},
  annotation = {2021c},
  doi = {10.1214/22-AOS2244},
}

@article{ConformalSurvivalAnalysis,
  author = {Candès, Emmanuel and Lei, Lihua and Ren, Zhimei},
  title = {Conformalized Survival Analysis},
  journaltitle = {Journal of the Royal Statistical Society Series B},
  volume = {85},
  number = {1},
  pages = {24--45},
  date = {2023-01},
  annotation = {2021b},
  doi = {10.1093/jrsssb/qkac004},
}

@article{MedianInference,
  author = {Medarametla, Dhruv and Candès, Emmanuel},
  title = {Distribution-Free Conditional Median Inference},
  journaltitle = {Electronic Journal of Statistics},
  volume = {15},
  number = {2},
  pages = {4625--4658},
  date = {2021},
  annotation = {2021a},
  doi = {10.1214/21-EJS1910},
}

@article{derandomizingKnockoffs,
  author = {Ren, Zhimei and Wei, Yuting and Candès, Emmanuel},
  title = {Derandomizing Knockoffs},
  journaltitle = {Journal of the American Statistical Association},
  volume = {118},
  number = {542},
  pages = {948--958},
  date = {2023},
  annotation = {2020i},
  doi = {10.1080/01621459.2021.1962720},
}

@article{sesia2020controlling,
  author = {Sesia, Matteo and Bates, Stephen and Cand{è}s, Emmanuel and Marchini, Jonathan and Sabatti, Chiara},
  title = {False discovery rate control in genome-wide association studies with population structure},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {118},
  number = {40},
  pages = {e2105841118},
  date = {2021},
  annotation = {2020h},
  doi = {10.1073/pnas.2105841118},
  url = {https://www.pnas.org/content/118/40/e2105841118},
}

@article{weinstein2020power,
  author = {Weinstein, Asaf and Su, Weijie J. and Bogdan, Ma{ł}gorzata and Barber, Rina Foygel and Candès, Emmanuel J.},
  title = {{A power analysis for model-X knockoffs with $\ell _{p}$-regularized statistics}},
  journaltitle = {Annals of Statistics},
  volume = {51},
  number = {3},
  pages = {1005--1029},
  date = {2023},
  annotation = {2020g},
  doi = {10.1214/23-AOS2274},
}

@article{lei2020conformal,
  author = {Lei, Lihua and Candès, Emmanuel J.},
  title = {Conformal inference of counterfactuals and individual treatment effects},
  journaltitle = {Journal of the Royal Statistical Society Series B},
  volume = {83},
  number = {5},
  pages = {911--938},
  date = {2021},
  annotation = {2020f},
  doi = {10.1111/rssb.12445},
}

@inproceedings{romano2020achieving,
  author = {Romano, Yaniv and Bates, Stephen and Candès, Emmanuel J.},
  title = {Achieving equalized odds by resampling sensitive attributes},
  booktitle = {Advances in Neural Information Processing Systems 33 (NeurIPS 2020)},
  publisher = {Curran Associates, Inc.},
  pages = {361--371},
  date = {2020},
  annotation = {2020e},
  editor = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},
  url = {https://proceedings.neurips.cc/paper/2020/file/03593ce517feac573fdaafa6dcedef61-Paper.pdf},
}

@inproceedings{romano2020classification,
  author = {Romano, Yaniv and Sesia, Matteo and Candès, Emmanuel J.},
  title = {Classification with valid and adaptive coverage},
  booktitle = {Advances in Neural Information Processing Systems 33 (NeurIPS 2020)},
  publisher = {Curran Associates, Inc.},
  pages = {3581--3591},
  date = {2020},
  annotation = {2020d},
  editor = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},
  url = {https://proceedings.neurips.cc/paper/2020/file/244edd7e85dc81602b7615cd705545f5-Paper.pdf},
}

@article{DTT,
  author = {Bates, Stephen and Sesia, Matteo and Sabatti, Chiara and Candès, Emmanuel},
  title = {Causal inference in genetic trio studies},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {117},
  number = {39},
  pages = {24117--24126},
  date = {2020},
  annotation = {2020c},
  doi = {10.1073/pnas.2007743117},
  url = {https://www.pnas.org/content/117/39/24117},
}

@article{LogisticCov,
  author = {Zhao, Qian and Sur, Pragya and Candès, Emmanuel J.},
  title = {The asymptotic distribution of the {MLE} in high-dimensional logistic models: Arbitrary covariance},
  journaltitle = {Bernoulli},
  volume = {28},
  number = {3},
  pages = {1835--1861},
  date = {2022},
  annotation = {2020b},
  doi = {10.3150/21-BEJ1401},
}

@article{AdaptiveKnockoffs,
  author = {Ren, Zhimei and Candès, Emmanuel J.},
  title = {Knockoffs with side information},
  journaltitle = {Annals of Applied Statistics},
  volume = {17},
  number = {2},
  pages = {1152--1174},
  date = {2023},
  annotation = {2020a},
  doi = {10.1214/22-AOAS1663},
}

@article{Candes2019Comments,
  author = {Candès, Emmanuel J. and Duchi, John and Sabatti, Chiara},
  title = {Comments on {Michael Jordan's essay ``The AI Revolution Hasn't Happened Yet''}},
  journaltitle = {Harvard Data Science Review},
  volume = {1},
  number = {1},
  date = {2019-06-23},
  annotation = {2019j},
  doi = {10.1162/99608f92.ff7ca64e},
  url = {https://hdsr.mitpress.mit.edu/pub/djb16hzl},
}

@article{CQRComparison,
  author = {Sesia, Matteo and Candès, Emmanuel J.},
  title = {A comparison of some conformal quantile regression methods},
  journaltitle = {Stat},
  volume = {9},
  number = {1},
  pages = {e261},
  date = {2020},
  annotation = {2019i},
  doi = {10.1002/sta4.261},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.261},
}

@article{EqualizedCoverage,
  author = {Romano, Yaniv and Foygel Barber, Rina and Sabatti, Chiara and Candès, Emmanuel J.},
  title = {With malice toward none: Assessing uncertainty via equalized coverage},
  journaltitle = {Harvard Data Science Review},
  volume = {2},
  number = {2},
  date = {2020-04-30},
  annotation = {2019h},
  doi = {10.1162/99608f92.03f00592},
  url = {https://hdsr.mitpress.mit.edu/pub/qedrwcz3},
}

@article{UKBio,
  author = {Sesia, Matteo and Katsevich, Eugene and Bates, Stephen and Candès, Emmanuel J. and Sabatti, Chiara},
  title = {Multi-resolution localization of causal variants across the genome},
  journaltitle = {Nature Communications},
  volume = {11},
  number = {1},
  pages = {1093},
  date = {2020},
  annotation = {2019g},
  doi = {10.1038/s41467-020-14791-2},
  url = {http://www.nature.com/ncomms},
}

@article{BaCaRaTi2021,
  author = {Barber, Rina Foygel and Candès, Emmanuel J. and Ramdas, Aaditya and Tibshirani, Ryan J.},
  title = {Predictive inference with the jackknife+},
  journaltitle = {Annals of Statistics},
  volume = {49},
  number = {1},
  pages = {486--507},
  date = {2021},
  annotation = {2019f},
  doi = {10.1214/20-AOS1965},
}

@inproceedings{CQR,
  author = {Romano, Yaniv and Patterson, Evan and Candès, Emmanuel J.},
  title = {Conformalized Quantile Regression},
  booktitle = {Advances in Neural Information Processing Systems 32 (NIPS 2019)},
  publisher = {Curran Associates},
  pages = {3538--3548},
  date = {2019},
  annotation = {2019e},
  editor = {Wallach, H. and Larochelle, H. and Beygelzimer, A. and d'Alché-Buc, F. and Fox, E. and Garnett, R.},
  url = {https://papers.nips.cc/paper/8613-conformalized-quantile-regression},
}

@inproceedings{WeightedCP,
  author = {Tibshirani, Ryan J. and Foygel Barber, Rina and Candès, Emmanuel J. and Ramdas, Aaditya},
  title = {Conformal Prediction Under Covariate Shift},
  booktitle = {Advances in Neural Information Processing Systems 32 (NIPS 2019)},
  publisher = {Curran Associates},
  pages = {2526--2536},
  date = {2019},
  annotation = {2019d},
  editor = {Wallach, H. and Larochelle, H. and Beygelzimer, A. and d'Alché-Buc, F. and Fox, E. and Garnett, R.},
  url = {https://papers.nips.cc/paper/8522-conformal-prediction-under-covariate-shift},
}

@article{ConditionalConformal,
  author = {Foygel Barber, Rina and Candès, Emmanuel J and Ramdas, Aaditya and Tibshirani, Ryan J},
  title = {The limits of distribution-free conditional predictive inference},
  journaltitle = {Information and Inference},
  volume = {10},
  number = {2},
  pages = {455--482},
  date = {2021-06},
  annotation = {2019c},
  doi = {10.1093/imaiai/iaaa017},
  url = {https://academic.oup.com/imaiai/article-pdf/10/2/455/38549621/iaaa017.pdf},
}

@article{Metro,
  author = {Bates, Stephen and Candès, Emmanuel J. and Janson, Lucas and Wang, Wenshuo},
  title = {Metropolized knockoff sampling},
  journaltitle = {Journal of the A\-mer\-i\-can Statistical Association},
  volume = {116},
  number = {535},
  pages = {1413--1427},
  date = {2021},
  annotation = {2019b},
  doi = {10.1080/01621459.2020.1729163},
}

@inproceedings{HolographicPR-ISI,
  author = {Barmherzig, David A. and Sun, Ju and Candès, Emmanuel J. and Lane, T. J. and Li, Po-Nan},
  title = {Dual-Reference Design for Holographic Phase Retrieval},
  booktitle = {2019 13th {I}nternational {C}onference on {S}ampling {T}heory and {A}pplications ({SAMPTA})},
  publisher = {IEEE},
  date = {2019},
  isbn = {978-1-7281-3741-4},
}

@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},
  sortyear = {2019a},
}

@article{Case-Control,
  author = {Foygel Barber, Rina and Candès, Emmanuel J.},
  title = {On the construction of knockoffs in case-control studies},
  journaltitle = {Stat},
  volume = {8},
  number = {1},
  pages = {e225},
  date = {2019},
  annotation = {2018e},
}

@article{DeepKnockoffs,
  author = {Romano, Yaniv and Sesia, Matteo and Candès, Emmanuel J.},
  title = {Deep knockoffs},
  journaltitle = {Journal of the American Statistical Association},
  publisher = {Taylor & Francis},
  volume = {115},
  number = {532},
  pages = {1861--1872},
  date = {2020},
  annotation = {2018d},
  doi = {10.1080/01621459.2019.1660174},
  url = {https://www.tandfonline.com/doi/full/10.1080/01621459.2019.1660174},
}

@article{LogisticMLE,
  author = {Candès, Emmanuel J. and Sur, Pragya},
  title = {The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression},
  journaltitle = {Annals of Statistics},
  volume = {48},
  number = {1},
  pages = {27--42},
  date = {2020},
  annotation = {2018c},
  doi = {10.1214/18-AOS1789},
}

@article{LogisticAMP,
  author = {Sur, Pragya and Candès, 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},
}

@article{RobustKnockoffs,
  author = {Foygel Barber, Rina and Candès, Emmanuel J. and Samworth, R.},
  title = {Robust inference with knockoffs},
  journaltitle = {Annals of Statistics},
  volume = {48},
  number = {3},
  pages = {1409--1431},
  date = {2020},
  annotation = {2018a},
}

@article{AMPKnockoffs,
  author = {Weinstein, Asaf and Foygel Barber, Rina and Candès, Emmanuel J.},
  title = {A power analysis for knockoffs under Gaussian designs},
  journaltitle = {IEEE Transactions on Information Theory},
  date = {2017},
  sortyear = {2017d},
}

@article{Rejoinder_HMM_Knockoffs,
  author = {Sesia, Matteo and Sabatti, Chiara and Candès, Emmanuel J.},
  title = {Rejoinder: ``Gene hunting with knockoffs for hidden Markov models''},
  journaltitle = {Biometrika},
  volume = {106},
  number = {1},
  pages = {35--45},
  date = {2019},
  sortyear = {2017c},
}

@article{HMM_Knockoffs,
  author = {Sesia, Matteo and Sabatti, Chiara and Candès, Emmanuel J.},
  title = {Gene hunting with knockoffs for hidden Markov models (with discussion)},
  journaltitle = {Biometrika},
  volume = {106},
  number = {1},
  pages = {1--18},
  date = {2019},
  sortyear = {2017b},
}

@article{LRT_HighDim,
  author = {Sur, Pragya and Chen, Yuxin and Candès, 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 = {1-2},
  pages = {487--558},
  date = {2019-10},
  sortyear = {2017a},
}

@article{MX_Knockoffs,
  author = {Candès, 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},
  sortyear = {2016d},
}

@article{JointAlign,
  author = {Chen, Yuxin and Candès, 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},
  sortyear = {2016c},
}

@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},
  sortyear = {2016b},
}

@article{HD_Knockoffs,
  author = {Foygel Barber, Rina and Candès, Emmanuel J},
  title = {A knockoff filter for high-dimensional selective inference},
  journaltitle = {Annals of Statistics},
  volume = {47},
  number = {5},
  pages = {2504--2537},
  date = {2019},
  sortyear = {2016a},
}

@article{LassoFDR,
  author = {Su, Weijie and Bogdan, Malgorzata and Candès, Emmanuel J},
  title = {False discoveries occur early on the lasso path},
  journaltitle = {Annals of Statistics},
  volume = {45},
  number = {5},
  pages = {2133--2150},
  date = {2017},
  sortyear = {2015f},
}

@article{TruncatedWF,
  author = {Chen, Yuxin and Candès, 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},
  sortyear = {2015e},
}

@article{EigenPrism,
  author = {Janson, Lucas and Foygel Barber, Rina and Candès, 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},
  sortyear = {2015d},
}

@article{SuperResPositive,
  author = {Morgenshtern, Veniamin and Candès, 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},
  sortyear = {2015c},
}

@article{SLOPE_minimax,
  author = {Candès, Emmanuel J and Su, Weijie},
  title = {SLOPE is adaptive to unknown sparsity and asymptotically minimax},
  journaltitle = {Annals of Statistics},
  volume = {44},
  number = {3},
  pages = {1038--1068},
  date = {2016},
  sortyear = {2015b},
}

@article{NesterovODE,
  author = {Su, Weijie and Boyd, Stephen and Candès, Emmanuel J},
  title = {A differential equation for modeling Nesterov's accelerated gradient method: Theory and insights},
  journaltitle = {Journal of Machine Learning Research},
  volume = {17},
  number = {153},
  pages = {1--43},
  date = {2016},
  sortyear = {2015a},
}

@inproceedings{NIPS2014,
  author = {Su, Weijie and Boyd, Stephen and Candès, Emmanuel J},
  title = {A differential equation for modeling Nesterov's accelerated gradient method: Theory and insights},
  booktitle = {Advances in Neural Information Processing Systems 27 (NIPS 2014)},
  pages = {2510--2518},
  date = {2014},
  sortyear = {2014e},
}

@inproceedings{ICM2014,
  author = {Candès, Emmanuel J},
  title = {Mathematics of sparsity (and a few other things)},
  booktitle = {Proceedings of the International Congress of Mathematicians},
  date = {2014},
  location = {Seoul, South Korea},
  sortyear = {2014d},
}

@article{WirtingerFlow,
  author = {Candès, Emmanuel J and Li, Xiaodong and Soltanolkotabi, Mahdi},
  title = {Phase retrieval via Wirtinger flow: Theory and algorithms},
  journaltitle = {IEEE Transactions on Information Theory},
  publisher = {IEEE},
  volume = {61},
  number = {4},
  pages = {1985--2007},
  date = {2015},
  sortyear = {2014c},
}

@article{SLOPE,
  author = {Bogdan, Malgorzata and van den Berg, Ewout and Sabatti, Chiara and Su, Weijie and Candès, Emmanuel J},
  title = {SLOPE -- Adaptive variable selection via convex optimization},
  journaltitle = {Annals of Applied Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {9},
  number = {3},
  pages = {1103--1140},
  date = {2015-09},
  sortyear = {2014b},
}

@article{FDR_regression,
  author = {Foygel Barber, Rina and Candès, Emmanuel J},
  title = {Controlling the false discovery rate via knockoffs},
  journaltitle = {Annals of Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {43},
  number = {5},
  pages = {2055--2085},
  date = {2015-10},
  sortyear = {2014a},
}

@inproceedings{TI_DTV_superres,
  author = {Fernandez-Granda, Carlos and Candès, 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},
  sortyear = {2013f},
}

@article{PhaseLift_CDP,
  author = {Candès, 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},
  sortyear = {2013e},
}

@article{SortedL1,
  author = {Bogdan, Malgorzata and Berg, Ewout van den and Su, Weijie and Candès, Emmanuel J},
  title = {Statistical estimation and testing via the sorted L1 norm},
  date = {2013},
  eprint = {1310.1969},
  eprinttype = {arXiv},
  sortyear = {2013d},
}

@article{RandomizedNLA,
  author = {Witten, Rafi and Candès, 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},
  sortyear = {2013c},
}

@article{L+S-MRI,
  author = {Otazo, Ricardo and Candès, 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},
  sortyear = {2013b},
}

@article{RobustSubspaceClustering,
  author = {Soltanolkotabi, Mahdi and Elhamifar, Ehsan and Candès, Emmanuel J},
  title = {Robust subspace clustering},
  journaltitle = {Annals of Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {42},
  number = {2},
  pages = {669--699},
  date = {2014},
  sortyear = {2013a},
}

@article{robust_SR,
  author = {Candès, 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},
  sortyear = {2012i},
}

@article{SURE_SVT,
  author = {Candès, 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},
  sortyear = {2012h},
}

@article{GroupTesting,
  author = {Van Den Berg, Ewout and Candès, 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},
  sortyear = {2012g},
}

@article{ImprovedPL,
  author = {Candès, 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},
  sortyear = {2012f},
}

@article{LatentVariables,
  author = {Candès, Emmanuel J and Soltanolkotabi, Mahdi},
  title = {Discussion of `Latent variable graphical model selection via convex optimization'},
  journaltitle = {Annals of Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {40},
  number = {4},
  pages = {1997--2004},
  date = {2012},
  sortyear = {2012e},
}

@article{adap_restart_paper,
  author = {O’Donoghue, Brendan and Candès, Emmanuel},
  title = {Adaptive restart for accelerated gradient schemes},
  journaltitle = {Foundations of Computational Mathematics},
  publisher = {Springer},
  volume = {15},
  number = {3},
  pages = {715--732},
  date = {2013},
  sortyear = {2012d},
}

@article{super-res,
  author = {Candès, 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},
  sortyear = {2012c},
}

@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 Candès, 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},
  sortyear = {2012b},
}

@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 Candès, 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},
  sortyear = {2012a},
}

@article{SubspaceClustering,
  author = {Soltanolkotabi, Mahdi and Candès, Emmanuel J},
  title = {A geometric analysis of subspace clustering with outliers},
  journaltitle = {Annals of Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {40},
  number = {4},
  pages = {2195--2238},
  date = {2012},
  sortyear = {2011g},
}

@article{CFM,
  author = {Studer, Vincent and Bobin, Jérome and Chahid, Makhlad and Mousavi, Hamed Shams and Candès, 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},
  sortyear = {2011f},
}

@article{adaptive,
  author = {Arias-Castro, Ery and Candès, 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},
  sortyear = {2011e},
}

@article{ExactPR,
  author = {Candès, 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},
  sortyear = {2011d},
}

@article{PhaseRetrieval,
  author = {Candès, 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},
  sortyear = {2011c},
}

@article{dual_multiplier,
  author = {Candès, 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},
  sortyear = {2011b},
}

@article{HowWell,
  author = {Candès, 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},
  sortyear = {2011a},
}

@article{IncoherenceCS,
  author = {Candès, 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},
  sortyear = {2010g},
}

@article{TFOCS,
  author = {Becker, Stephen and Candès, 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},
  sortyear = {2010f},
}

@article{GlobalTesting,
  author = {Arias-Castro, Ery and Candès, Emmanuel J and Plan, Yaniv},
  title = {Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism},
  journaltitle = {Annals of Statistics},
  volume = {39},
  number = {5},
  pages = {2533--2556},
  date = {2011},
  sortyear = {2010e},
}

@article{CoherentCS,
  author = {Candès, 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},
  sortyear = {2010d},
}

@inproceedings{StableRPCA,
  author = {Zhou, Zihan and Li, Xiaodong and Wright, John and Candès, 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},
  sortyear = {2010c},
}

@inproceedings{DenseRPCA,
  author = {Ganesh, Arvind and Wright, John and Li, Xiaodong and Candès, 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},
  sortyear = {2010b},
}

@article{ClusterDetect,
  author = {Arias-Castro, Ery and Candès, Emmanuel J and Durand, Arnaud},
  title = {Detection of an anomalous cluster in a network},
  journaltitle = {Annals of Statistics},
  volume = {39},
  number = {1},
  pages = {278--304},
  date = {2011},
  sortyear = {2010a},
}

@article{RobustPCA,
  author = {Candès, 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},
  sortyear = {2009f},
}

@article{MatrixOracle,
  author = {Candès, 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},
  sortyear = {2009e},
}

@article{quant_compr_sens,
  author = {Zymnis, Argyrios and Boyd, Stephen and Candès, Emmanuel},
  title = {Compressed sensing with quantized measurements},
  journaltitle = {Signal Processing Letters},
  publisher = {IEEE},
  volume = {17},
  number = {2},
  pages = {149--152},
  date = {2010},
  sortyear = {2009d},
}

@article{NESTA,
  author = {Becker, Stephen and Bobin, Jérôme and Candès, 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},
  sortyear = {2009c},
}

@article{NoisyCompletion,
  author = {Candès, 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},
  sortyear = {2009b},
}

@article{OptimalCompletion,
  author = {Candès, 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},
  sortyear = {2009a},
}

@article{itNL1208,
  author = {Candès, 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},
  sortyear = {2008e},
}

@article{SVT,
  author = {Cai, Jian-Feng and Candès, 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},
  sortyear = {2008d},
}

@article{ButterflyFIO,
  author = {Candès, 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},
  sortyear = {2008c},
}

@article{MatrixCompletion,
  author = {Candès, 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},
  sortyear = {2008b},
}

@article{RIP,
  author = {Candès, 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},
  sortyear = {2008a},
}

@article{LassoPredict,
  author = {Candès, Emmanuel J and Plan, Yaniv},
  title = {Near-ideal model selection by $\ell_1$ minimization},
  journaltitle = {Annals of Statistics},
  publisher = {Institute of Mathematical Statistics},
  volume = {37},
  number = {5A},
  pages = {2145--2177},
  date = {2009},
  sortyear = {2007e},
}

@article{rwl1,
  author = {Candès, 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},
  sortyear = {2007d},
}

@article{spm-robustcs-v05,
  author = {Candès, 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},
  sortyear = {2007c},
}

@article{rejoinder,
  author = {Candès, Emmanuel J and Tao, Terence},
  title = {Rejoinder: `The Dantzig selector: Statistical estimation when $p$ is much larger than $n$'},
  journaltitle = {Annals of Statistics},
  volume = {35},
  number = {6},
  pages = {2392--2404},
  date = {2007},
  sortyear = {2007b},
}

@article{PathDetect,
  author = {Arias-Castro, Ery and Candès, Emmanuel J and Helgason, Hannes and Zeitouni, Ofer},
  title = {Searching for a trail of evidence in a maze},
  journaltitle = {Annals of Statistics},
  volume = {36},
  number = {4},
  pages = {1726--1757},
  date = {2008},
  sortyear = {2007a},
}

@article{GrossErrorsSmallErrors,
  author = {Candès, Emmanuel J and Randall, Paige},
  title = {Highly robust error correction by convex programming},
  journaltitle = {IEEE Trans\-ac\-tions on Information Theory},
  publisher = {IEEE},
  volume = {54},
  number = {7},
  pages = {2829--2840},
  date = {2008},
  sortyear = {2006f},
}

@article{PartialMeasurements,
  author = {Candès, 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},
  sortyear = {2006e},
}

@article{FastFIO,
  author = {Candès, 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},
  sortyear = {2006d},
}

@inproceedings{CompressiveSampling,
  author = {Candès, Emmanuel J},
  title = {Compressive sampling},
  booktitle = {Proceedings of the International Congress of Mathematicians},
  volume = {3},
  pages = {1433--1452},
  date = {2006},
  location = {Madrid, Spain},
  sortyear = {2006c},
}

@article{ChirpDetection,
  author = {Candès, 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},
  sortyear = {2006b},
}

@article{GeodesicFlow,
  author = {Candès, 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},
  sortyear = {2006a},
}

@article{NonlinearEstimation,
  author = {Candès, Emmanuel J},
  title = {Modern statistical estimation via oracle inequalities},
  journaltitle = {Acta Numerica},
  publisher = {Cambridge University Press},
  volume = {15},
  pages = {257--325},
  date = {2006},
  sortyear = {2005f},
}

@article{PhaseFlow,
  author = {Candès, 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},
  sortyear = {2005e},
}

@article{FDCT,
  author = {Candès, 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},
  sortyear = {2005d},
}

@article{DantzigSelector,
  author = {Candès, Emmanuel J and Tao, Terence},
  title = {The Dantzig selector: Statistical estimation when $p$ is much larger than $n$},
  journaltitle = {Annals of Statistics},
  volume = {35},
  number = {6},
  pages = {2313--2351},
  date = {2007},
  sortyear = {2005c},
}

@inproceedings{FOCS05,
  author = {Candès, 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},
  sortyear = {2005b},
}

@article{StableRecovery,
  author = {Candès, Emmanuel J and Romberg, Justin and Tao, Terence},
  title = {Stable signal recovery from incomplete and inaccurate meas\-ure\-ments},
  journaltitle = {Communications on Pure and Applied Mathematics},
  volume = {59},
  number = {8},
  pages = {1207--1223},
  date = {2006},
  sortyear = {2005a},
}

@article{DecodingLP,
  author = {Candès, 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},
  sortyear = {2004f},
}

@inproceedings{PracticalRecovery,
  author = {Candès, 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},
  series = {Proc. SPIE},
  sortyear = {2004e},
}

@article{OptimalRecovery,
  author = {Candès, 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},
  sortyear = {2004d},
}

@article{RandomBasisPursuit,
  author = {Candès, 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},
  sortyear = {2004c},
}

@article{ExactRecovery,
  author = {Candès, 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},
  sortyear = {2004b},
}

@article{CurveletsWaves,
  author = {Candès, 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},
  sortyear = {2004a},
}

@article{ContCurveletTransform-I,
  author = {Candès, 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},
  sortyear = {2003a},
}

@article{ContCurveletTransform-II,
  author = {Candès, 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},
  sortyear = {2003b},
}

@report{Chirplets,
  author = {Candès, Emmanuel J},
  title = {Multiscale chirplets and near-optimal recovery of chirps},
  date = {2002},
  institution = {Department of Statistics, Stanford University},
  sortyear = {2002g},
  type = {techreport},
}

@article{CurveEdges,
  author = {Candès, 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},
  sortyear = {2002f},
}

@article{CurveletsFIO,
  author = {Candès, 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},
  sortyear = {2002e},
}

@article{Astro,
  author = {Starck, Jean-Luc and Donoho, David L and Candès, 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},
  sortyear = {2002d},
}

@article{DIoRP,
  author = {Flesia, A G and Hel-Or, H and Averbuch, A and Candès, 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},
  sortyear = {2002c},
}

@article{TV_synthesis,
  author = {Candès, 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},
  sortyear = {2002b},
}

@inproceedings{at_popov,
  author = {Candès, 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},
  sortyear = {2002a},
}

@article{Cont_Enhance,
  author = {Starck, Jean-Luc and Murtagh, Fionn and Candès, 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},
  sortyear = {2001b},
}

@inproceedings{SPIE01,
  author = {Starck, Jean-Luc and Candès, 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},
  editor = {Aldroubi, A and Laine, A F and Unser, M A},
  series = {Proc. SPIE},
  sortyear = {2001a},
}

@article{CurveDenoise,
  author = {Starck, Jean-Luc and Candès, Emmanuel J and Donoho, David L},
  title = {The curvelet transform for image denoising},
  journaltitle = {IEEE Trans\-ac\-tions on Image Processing},
  publisher = {IEEE},
  volume = {11},
  number = {6},
  pages = {670--684},
  date = {2002},
  sortyear = {2000e},
}

@inproceedings{SPIE_Curvelets,
  author = {Candès, 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},
  editor = {Aldroubi, A and Laine, A F and Unser, M A},
  series = {Proc. SPIE},
  sortyear = {2000d},
}

@inproceedings{SPIE_Radon,
  author = {Candès, 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},
  editor = {Aldroubi, A and Laine, A F and Unser, M A},
  series = {Proc. SPIE},
  sortyear = {2000c},
}

@article{CurveInverse,
  author = {Candès, 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},
  sortyear = {2000b},
}

@article{Curves_and_Curvelets,
  author = {Candès, 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},
  sortyear = {2000a},
}

@incollection{StMalo,
  author = {Candès, Emmanuel J},
  title = {Ridgelets and their derivatives: Representation of images with edges},
  booktitle = {Curves and Surfaces},
  publisher = {Vanderbilt University Press},
  date = {1999},
  editor = {Schumaker, Larry L and others},
  sortyear = {1999g},
}

@incollection{Curvelet-SMStyle,
  author = {Candès, 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},
  editor = {Schumaker, Larry L and others},
  sortyear = {1999f},
}

@article{Ridgelet_Stat,
  author = {Candès, Emmanuel J},
  title = {Ridgelets: Estimating with ridge functions},
  journaltitle = {Annals of Statistics},
  publisher = {JSTOR},
  pages = {1561--1599},
  date = {2003},
  sortyear = {1999e},
}

@article{Mutilated,
  author = {Candès, Emmanuel J},
  title = {Ridgelets and the representation of mutilated Sobolev functions},
  journaltitle = {SIAM Journal on Math\-e\-ma\-ti\-cal Analysis},
  publisher = {SIAM},
  volume = {33},
  number = {2},
  pages = {347--368},
  date = {2001},
  sortyear = {1999d},
}

@report{Monoscale,
  author = {Candès, Emmanuel J},
  title = {Monoscale ridgelets for the representation of images with edges},
  date = {1999},
  institution = {Department of Statistics, Stanford University},
  sortyear = {1999c},
  type = {techreport},
}

@article{RoySoc,
  author = {Candès, Emmanuel J and Donoho, David L},
  title = {Ridgelets: A key to higher-dimensional intermittency?},
  journaltitle = {Philosophical Transactions of the Royal Society of London A},
  publisher = {The Royal Society},
  volume = {357},
  number = {1760},
  pages = {2495--2509},
  date = {1999},
  sortyear = {1999b},
}

@article{Harm_Net,
  author = {Candès, 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},
  sortyear = {1999a},
}

@thesis{Thesis,
  author = {Candès, Emmanuel J},
  title = {Ridgelets: Theory and applications},
  date = {1998},
  institution = {Department of Statistics, Stanford University},
  sortyear = {1998},
  type = {phdthesis},
}