Emmanuel J. Candès

J. Mach. Learn. Res., 2024

Statistical Inference for Fairness Auditing.

[BibT_eX]

[DOI]

John J. Cherian

J. Mach. Learn. Res., 2024

RandALO: Out-of-sample risk estimation in no time flat.

[BibT_eX]

[DOI]

Parth Nobel

Daniel LeJeune

CoRR, 2024

Synthetic continued pretraining.

[BibT_eX]

[DOI]

CoRR, 2024

Can Unconfident LLM Annotations Be Used for Confident Conclusions?

[BibT_eX]

[DOI]

CoRR, 2024

Large language model validity via enhanced conformal prediction methods.

[BibT_eX]

[DOI]

John J. Cherian

Isaac Gibbs

CoRR, 2024

A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features.

[BibT_eX]

[DOI]

CoRR, 2024

Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series.

[BibT_eX]

[DOI]

Zitong Yang

Lihua Lei

CoRR, 2024

Active Statistical Inference.

[BibT_eX]

[DOI]

Tijana Zrnic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers.

[BibT_eX]

[DOI]

Parth Nobel

Stephen P. Boyd

IEEE Trans. Signal Process., 2023

Selection by Prediction with Conformal p-values.

[BibT_eX]

[DOI]

Ying Jin

J. Mach. Learn. Res., 2023

Cross-Prediction-Powered Inference.

[BibT_eX]

[DOI]

Tijana Zrnic

CoRR, 2023

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal PID Control for Time Series Prediction.

[BibT_eX]

[DOI]

Anastasios Angelopoulos

Anastasios N. Angelopoulos

Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Conformal Inference Under Distribution Shift.

[BibT_eX]

[DOI]

Isaac Gibbs

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Classification with Valid and Adaptive Coverage.

[BibT_eX]

[DOI]

Yaniv Romano

Matteo Sesia

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Achieving Equalized Odds by Resampling Sensitive Attributes.

[BibT_eX]

[DOI]

Yaniv Romano

Stephen Bates

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

With Malice Towards None: Assessing Uncertainty via Equalized Coverage.

[BibT_eX]

[DOI]

CoRR, 2019

Dual-Reference Design for Holographic Coherent Diffraction Imaging.

[BibT_eX]

[DOI]

CoRR, 2019

Holographic Phase Retrieval and Optimal Reference Design.

[BibT_eX]

[DOI]

CoRR, 2019

Conformal Prediction Under Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Conformalized Quantile Regression.

[BibT_eX]

[DOI]

Yaniv Romano

Evan Patterson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square.

[BibT_eX]

[DOI]

Pragya Sur

Yuxin Chen

CoRR, 2017

2016

Super-Resolution of Positive Sources: The Discrete Setup.

[BibT_eX]

[DOI]

Veniamin I. Morgenshtern

SIAM J. Imaging Sci., 2016

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights.

[BibT_eX]

[DOI]

Weijie Su

Stephen P. Boyd

J. Mach. Learn. Res., 2016

The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences.

[BibT_eX]

[DOI]

Yuxin Chen

CoRR, 2016

2015

Phase Retrieval via Wirtinger Flow: Theory and Algorithms.

[BibT_eX]

[DOI]

Xiaodong Li

IEEE Trans. Inf. Theory, 2015

Phase Retrieval via Matrix Completion.

[BibT_eX]

[DOI]

SIAM Rev., 2015

Adaptive Restart for Accelerated Gradient Schemes.

[BibT_eX]

[DOI]

Brendan O'Donoghue

Found. Comput. Math., 2015

False Discoveries Occur Early on the Lasso Path.

[BibT_eX]

[DOI]

Weijie Su

Malgorzata Bogdan

CoRR, 2015

SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax.

[BibT_eX]

[DOI]

Weijie Su

CoRR, 2015

Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds.

[BibT_eX]

[DOI]

Rafi Witten

Algorithmica, 2015

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems.

[BibT_eX]

[DOI]

Yuxin Chen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns.

[BibT_eX]

[DOI]

Xiaodong Li

Found. Comput. Math., 2014

2013

Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators.

[BibT_eX]

[DOI]

Carlos A. Sing-Long

Joshua D. Trzasko

IEEE Trans. Signal Process., 2013

On the Fundamental Limits of Adaptive Sensing.

[BibT_eX]

[DOI]

Ery Arias-Castro

Mark A. Davenport

IEEE Trans. Inf. Theory, 2013

Simple bounds for recovering low-complexity models.

[BibT_eX]

[DOI]

Math. Program., 2013

Robust Subspace Clustering

[BibT_eX]

[DOI]

Ehsan Elhamifar

CoRR, 2013

Hyperspectral fluorescence microscopy based on Compressive Sampling.

[BibT_eX]

[DOI]

CoRR, 2013

Phase Retrieval from masked Fourier transforms.

[BibT_eX]

[DOI]

Xiaodong Li

CoRR, 2013

Super-resolution via Transform-Invariant Group-Sparse Regularization.

[BibT_eX]

[DOI]

Carlos Fernandez-Granda

Proceedings of the IEEE International Conference on Computer Vision, 2013

Compressive sensing: Principles and hardware implementations.

[BibT_eX]

[DOI]

Stephen Becker

Proceedings of the ESSCIRC 2013, 2013

2012

A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.

[BibT_eX]

[DOI]

Juhwan Yoo

Christopher K. Turnes

Azita Emami-Neyestanak

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.

[BibT_eX]

[DOI]

Azita Emami-Neyestanak

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

Discussion: Latent variable graphical model selection via convex optimization

[BibT_eX]

[DOI]

CoRR, 2012

Super-Resolution from Noisy Data

[BibT_eX]

[DOI]

Carlos Fernandez-Granda

CoRR, 2012

A single-photon sampling architecture for solid-state imaging

[BibT_eX]

[DOI]

CoRR, 2012

Towards a Mathematical Theory of Super-Resolution

[BibT_eX]

[DOI]

Carlos Fernandez-Granda

CoRR, 2012

Exact matrix completion via convex optimization.

[BibT_eX]

[DOI]

Commun. ACM, 2012

Design and implementation of a fully integrated compressed-sensing signal acquisition system.

[BibT_eX]

[DOI]

Azita Emami-Neyestanak

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

A Probabilistic and RIPless Theory of Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

NESTA: A Fast and Accurate First-Order Method for Sparse Recovery.

[BibT_eX]

[DOI]

Stephen Becker

Jérôme Bobin

SIAM J. Imaging Sci., 2011

Templates for convex cone problems with applications to sparse signal recovery.

[BibT_eX]

[DOI]

Stephen Becker

Michael C. Grant

Math. Program. Comput., 2011

Robust principal component analysis?

[BibT_eX]

[DOI]

J. ACM, 2011

A Geometric Analysis of Subspace Clustering with Outliers

[BibT_eX]

[DOI]

CoRR, 2011

PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming

[BibT_eX]

[DOI]

Thomas Strohmer

Vladislav Voroninski

CoRR, 2011

Simple Bounds for Low-complexity Model Reconstruction

[BibT_eX]

[DOI]

CoRR, 2011

How well can we estimate a sparse vector?

[BibT_eX]

[DOI]

Mark A. Davenport

CoRR, 2011

2010

The power of convex relaxation: near-optimal matrix completion.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Compressed Sensing With Quantized Measurements.

[BibT_eX]

[DOI]

Argyrios Zymnis

Stephen P. Boyd

IEEE Signal Process. Lett., 2010

A Singular Value Thresholding Algorithm for Matrix Completion.

[BibT_eX]

[DOI]

Jian-Feng Cai

Zuowei Shen

SIAM J. Optim., 2010

Matrix Completion With Noise.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

Applications of Sparse Representation and Compressive Sensing.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

Compressed Sensing with Coherent and Redundant Dictionaries

[BibT_eX]

[DOI]

Yonina C. Eldar

Deanna Needell

CoRR, 2010

Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements

[BibT_eX]

[DOI]

CoRR, 2010

The Power of Convex Relaxation: The Surprising Stories of Matrix Completion and Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Stable Principal Component Pursuit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

Dense error correction for low-rank matrices via Principal Component Pursuit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators.

[BibT_eX]

[DOI]

Laurent Demanet

Multiscale Model. Simul., 2009

A fast and accurate first-order algorithm for compressed sensing.

[BibT_eX]

[DOI]

Jérôme Bobin

Proceedings of the International Conference on Image Processing, 2009

Accurate low-rank matrix recovery from a small number of linear measurements.

[BibT_eX]

[DOI]

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Highly Robust Error Correction byConvex Programming.

[BibT_eX]

[DOI]

Paige A. Randall

IEEE Trans. Inf. Theory, 2008

An Introduction To Compressive Sampling.

[BibT_eX]

[DOI]

Michael B. Wakin

IEEE Signal Process. Mag., 2008

Compressive Sampling [From the Guest Editors].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2008

Exact low-rank matrix completion via convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Compressed sensing and robust recovery of low rank matrices.

[BibT_eX]

[DOI]

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Session TA1b: Compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Fast Computation of Fourier Integral Operators.

[BibT_eX]

[DOI]

Laurent Demanet

SIAM J. Sci. Comput., 2007

Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.

[BibT_eX]

[DOI]

Found. Comput. Math., 2007

Sparse Signal and Image Recovery from Compressive Samples.

[BibT_eX]

[DOI]

Nathaniel Braun

Michael B. Wakin

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2006

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2006

Fast Discrete Curvelet Transforms.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2006

The phase flow method.

[BibT_eX]

[DOI]

J. Comput. Phys., 2006

Fast geodesics computation with the phase flow method.

[BibT_eX]

[DOI]

J. Comput. Phys., 2006

Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.

[BibT_eX]

[DOI]

Found. Comput. Math., 2006

Highly robust error correction by convex programming

[BibT_eX]

[DOI]

Paige A. Randall

CoRR, 2006

Robust Signal Recovery from Incomplete Observations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2006

Encoding the \ell_p Ball from Limited Measurements.

[BibT_eX]

[DOI]

Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006

2005

Decoding by linear programming.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2005

Error Correction via Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), 2005

Signal recovery from random projections.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging III, San Jose, 2005

2003

Gray and color image contrast enhancement by the curvelet transform.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2003

2002

The curvelet transform for image denoising.

[BibT_eX]

[DOI]

Jean-Luc Starck

David L. Donoho

IEEE Trans. Image Process., 2002

New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction.

[BibT_eX]

[DOI]

Franck Guo

Signal Process., 2002

2001

Ridgelets and the Representation of Mutilated Sobolev Functions.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2001

Curvelets and Curvilinear Integrals.

[BibT_eX]

[DOI]

David L. Donoho

J. Approx. Theory, 2001

The curvelet transform for image denoising.

[BibT_eX]

[DOI]