2025
s1: Simple test-time scaling.
CoRR, January, 2025
2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts.
J. Mach. Learn. Res., 2024
Statistical Inference for Fairness Auditing.
J. Mach. Learn. Res., 2024
RandALO: Out-of-sample risk estimation in no time flat.
CoRR, 2024
Synthetic continued pretraining.
CoRR, 2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
CoRR, 2024
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features.
CoRR, 2024
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series.
CoRR, 2024
Boosted Conformal Prediction Intervals.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Large language model validity via enhanced conformal prediction methods.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Active Statistical Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers.
IEEE Trans. Signal Process., 2023
Selection by Prediction with Conformal p-values.
J. Mach. Learn. Res., 2023
Cross-Prediction-Powered Inference.
CoRR, 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks.
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.
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.
IEEE J. Biomed. Health Informatics, 2022
ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery.
CoRR, 2022
2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control.
CoRR, 2021
Adaptive Conformal Inference Under Distribution Shift.
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.
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.
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.
CoRR, 2019
Dual-Reference Design for Holographic Coherent Diffraction Imaging.
CoRR, 2019
Holographic Phase Retrieval and Optimal Reference Design.
CoRR, 2019
Conformal Prediction Under Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Conformalized Quantile Regression.
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.
CoRR, 2017
2016
Super-Resolution of Positive Sources: The Discrete Setup.
SIAM J. Imaging Sci., 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights.
J. Mach. Learn. Res., 2016
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences.
CoRR, 2016
2015
Phase Retrieval via Wirtinger Flow: Theory and Algorithms.
IEEE Trans. Inf. Theory, 2015
Phase Retrieval via Matrix Completion.
SIAM Rev., 2015
Adaptive Restart for Accelerated Gradient Schemes.
Found. Comput. Math., 2015
False Discoveries Occur Early on the Lasso Path.
CoRR, 2015
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax.
CoRR, 2015
Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds.
Algorithmica, 2015
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems.
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.
Found. Comput. Math., 2014
2013
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators.
IEEE Trans. Signal Process., 2013
On the Fundamental Limits of Adaptive Sensing.
IEEE Trans. Inf. Theory, 2013
Simple bounds for recovering low-complexity models.
Math. Program., 2013
Robust Subspace Clustering
CoRR, 2013
Hyperspectral fluorescence microscopy based on Compressive Sampling.
CoRR, 2013
Phase Retrieval from masked Fourier transforms.
CoRR, 2013
Super-resolution via Transform-Invariant Group-Sparse Regularization.
Proceedings of the IEEE International Conference on Computer Vision, 2013
Compressive sensing: Principles and hardware implementations.
Proceedings of the ESSCIRC 2013, 2013
2012
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.
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IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2012
Discussion: Latent variable graphical model selection via convex optimization
CoRR, 2012
Super-Resolution from Noisy Data
CoRR, 2012
A single-photon sampling architecture for solid-state imaging
CoRR, 2012
Towards a Mathematical Theory of Super-Resolution
CoRR, 2012
Exact matrix completion via convex optimization.
Commun. ACM, 2012
Design and implementation of a fully integrated compressed-sensing signal acquisition system.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
A Probabilistic and RIPless Theory of Compressed Sensing.
IEEE Trans. Inf. Theory, 2011
Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements.
IEEE Trans. Inf. Theory, 2011
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery.
SIAM J. Imaging Sci., 2011
Templates for convex cone problems with applications to sparse signal recovery.
Math. Program. Comput., 2011
Robust principal component analysis?
J. ACM, 2011
A Geometric Analysis of Subspace Clustering with Outliers
CoRR, 2011
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
CoRR, 2011
Simple Bounds for Low-complexity Model Reconstruction
CoRR, 2011
How well can we estimate a sparse vector?
CoRR, 2011
2010
The power of convex relaxation: near-optimal matrix completion.
IEEE Trans. Inf. Theory, 2010
Compressed Sensing With Quantized Measurements.
IEEE Signal Process. Lett., 2010
A Singular Value Thresholding Algorithm for Matrix Completion.
SIAM J. Optim., 2010
Matrix Completion With Noise.
Proc. IEEE, 2010
Applications of Sparse Representation and Compressive Sensing.
Proc. IEEE, 2010
Compressed Sensing with Coherent and Redundant Dictionaries
CoRR, 2010
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
CoRR, 2010
The Power of Convex Relaxation: The Surprising Stories of Matrix Completion and Compressed Sensing.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010
Stable Principal Component Pursuit.
Proceedings of the IEEE International Symposium on Information Theory, 2010
Dense error correction for low-rank matrices via Principal Component Pursuit.
Proceedings of the IEEE International Symposium on Information Theory, 2010
2009
A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators.
Multiscale Model. Simul., 2009
A fast and accurate first-order algorithm for compressed sensing.
Proceedings of the International Conference on Image Processing, 2009
Accurate low-rank matrix recovery from a small number of linear measurements.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Highly Robust Error Correction byConvex Programming.
IEEE Trans. Inf. Theory, 2008
An Introduction To Compressive Sampling.
IEEE Signal Process. Mag., 2008
Compressive Sampling [From the Guest Editors].
IEEE Signal Process. Mag., 2008
Exact low-rank matrix completion via convex optimization.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
Compressed sensing and robust recovery of low rank matrices.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
Session TA1b: Compressive sensing.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
Fast Computation of Fourier Integral Operators.
SIAM J. Sci. Comput., 2007
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math., 2007
Sparse Signal and Image Recovery from Compressive Samples.
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?
IEEE Trans. Inf. Theory, 2006
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.
IEEE Trans. Inf. Theory, 2006
Fast Discrete Curvelet Transforms.
Multiscale Model. Simul., 2006
Fast geodesics computation with the phase flow method.
J. Comput. Phys., 2006
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math., 2006
Highly robust error correction by convex programming
CoRR, 2006
Robust Signal Recovery from Incomplete Observations.
Proceedings of the International Conference on Image Processing, 2006
Encoding the \ell_p Ball from Limited Measurements.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006
2005
Decoding by linear programming.
IEEE Trans. Inf. Theory, 2005
Error Correction via Linear Programming.
Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), 2005
Signal recovery from random projections.
Proceedings of the Computational Imaging III, San Jose, 2005
2003
Gray and color image contrast enhancement by the curvelet transform.
IEEE Trans. Image Process., 2003
2002
The curvelet transform for image denoising.
IEEE Trans. Image Process., 2002
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction.
Signal Process., 2002
2001
Ridgelets and the Representation of Mutilated Sobolev Functions.
SIAM J. Math. Anal., 2001
Curvelets and Curvilinear Integrals.
J. Approx. Theory, 2001
The curvelet transform for image denoising.
Proceedings of the 2001 International Conference on Image Processing, 2001