papers
Publications (19)
cs.IT2013
Hyperspectral fluorescence microscopy based on Compressive Sampling
Makhlad Chahid, Jerome Bobin, Hamed Shams Mousavi +3
math.OC2012
Adaptive Restart for Accelerated Gradient Schemes
Brendan O'Donoghue, Emmanuel Candes
math.ST2008
The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
Emmanuel Candes, Terence Tao
math.ST2015
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su, Emmanuel Candes
cs.IT2010
Stable Principal Component Pursuit
Zihan Zhou, Xiaodong Li, John Wright +2
cs.IT2012
A single-photon sampling architecture for solid-state imaging
Ewout van den Berg, Emmanuel Candes, Garry Chinn +3
cs.IT2012
Simple Bounds for Recovering Low-complexity Models
Emmanuel Candes, Benjamin Recht
stat.ME2018
On the Construction of Knockoffs in Case-Control Studies
Rina Foygel Barber, Emmanuel Candes
math.MG2005
Decoding by Linear Programming
Emmanuel Candes, Terence Tao
math.ST2006
Sparsity and Incoherence in Compressive Sampling
Emmanuel Candes, Justin Romberg
stat.AP2012
Compressive Fluorescence Microscopy for Biological and Hyperspectral Imaging
Vincent Studer, Jerome Bobin, Makhlad Chahid +3
stat.ME2013
Statistical estimation and testing via the sorted L1 norm
Malgorzata Bogdan, Ewout van den Berg, Weijie Su +1
math.ST2016
False Discoveries Occur Early on the Lasso Path
Weijie Su, Malgorzata Bogdan, Emmanuel Candes
math.OC2009
NESTA: A Fast and Accurate First-order Method for Sparse Recovery
Stephen Becker, Jerome Bobin, Emmanuel Candes
cs.IT2017
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen, Emmanuel Candes
stat.ME2017
A Power and Prediction Analysis for Knockoffs with Lasso Statistics
Asaf Weinstein, Rina Barber, Emmanuel Candes
stat.ME2017
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection
Emmanuel Candes, Yingying Fan, Lucas Janson +1
math.CA2006
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Emmanuel Candes, Terence Tao
math.CA2004
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions
Emmanuel Candes, Justin Romberg