Mark A. Davenport

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff	2024	Peimeng Guan Mark A. Davenport
+	New Equivalences between Interpolation and SVMs: Kernels and Structured Features	2024	Chiraag Kaushik Andrew D. McRae Mark A. Davenport V. Sai Muthukumar
+ PDF Chat	Robust Broadband Beamforming using Bilinear Programming	2024	Nakul Singh Coleman DeLude Mark A. Davenport Justin Romberg
+ PDF Chat	Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures	2024	Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood
+ PDF Chat	Data-adaptive symmetric CUSUM for sequential change detection	2024	Nauman Ahad Mark A. Davenport Yao Xie
+	New Equivalences Between Interpolation and SVMs: Kernels and Structured Features	2023	Chiraag Kaushik Andrew D. McRae Mark A. Davenport Vidya Muthukumar
+	Learned Proximal Operator for Solving Seismic Deconvolution Problem	2023	Peimeng Guan Naveed Iqbal Mark A. Davenport Mudassir Masood
+	Distance preservation in state-space methods for detecting causal interactions in dynamical systems	2023	Matthew O’Shaughnessy Mark A. Davenport Christopher J. Rozell
+	Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning	2023	Austin Xu Andrew D. McRae Jingyan Wang Mark A. Davenport Ashwin Pananjady
+ PDF Chat	Iterative Broadband Source Localization	2023	Coleman DeLude Rakshith S. Srinivasa Santhosh Karnik Christopher Hood Mark A. Davenport Justin Romberg
+	Slepian Beamforming: Broadband Beamforming using Streaming Least Squares	2023	Coleman DeLude Mark A. Davenport Justin Romberg
+ PDF Chat	Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer	2022	Andrew D. McRae Justin Romberg Mark A. Davenport
+	Thomson’s Multitaper Method Revisited	2022	Santhosh Karnik Justin Romberg Mark A. Davenport
+	Active metric learning and classification using similarity queries	2022	Namrata Nadagouda Austin Xu Mark A. Davenport
+	Learning Sinkhorn divergences for supervised change point detection	2022	Nauman Ahad Eva L. Dyer Keith B. Hengen Yao Xie Mark A. Davenport
+	Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver	2022	Peimeng Guan Jihui Jin Justin Romberg Mark A. Davenport
+	Data-Adaptive Symmetric CUSUM for Sequential Change Detection	2022	Nauman Ahad Mark A. Davenport Yao Xie
+	Harmless interpolation in regression and classification with structured features.	2021	Andrew D. McRae Santhosh Karnik Mark A. Davenport V. Sai Muthukumar
+ PDF Chat	Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time	2021	Zhu Feng Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci Chethan Pandarinath
+ PDF Chat	Semi-supervised Sequence Classification through Change Point Detection	2021	Nauman Ahad Mark A. Davenport
+	Semi-supervised Sequence Classification through Change Point Detection	2021	Nauman Ahad Mark A. Davenport
+	Switched Hawkes Processes	2021	Namrata Nadagouda Mark A. Davenport
+ PDF Chat	Improved bounds for the eigenvalues of prolate spheroidal wave functions and discrete prolate spheroidal sequences	2021	Santhosh Karnik Justin Romberg Mark A. Davenport
+	Thomson's Multitaper Method Revisited.	2021	Santhosh Karnik Justin Romberg Mark A. Davenport
+	As You Like It: Localization via Paired Comparisons	2021	Andrew K. Massimino Mark A. Davenport
+	Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time	2021	Zhu Feng Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci Chethan Pandarinath
+	Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer	2021	Andrew D. McRae Justin Romberg Mark A. Davenport
+	Harmless interpolation in regression and classification with structured features	2021	Andrew D. McRae Santhosh Karnik Mark A. Davenport Vidya Muthukumar
+	Thomson's Multitaper Method Revisited	2021	Santhosh Karnik Justin Romberg Mark A. Davenport
+ PDF Chat	Simultaneous Preference and Metric Learning from Paired Comparisons	2020	Austin Xu Mark A. Davenport
+ PDF Chat	Low-rank matrix completion and denoising under Poisson noise	2020	Andrew D. McRae Mark A. Davenport
+	Generative causal explanations of black-box classifiers	2020	Matthew O’Shaughnessy Gregory Canal Marissa Connor Mark A. Davenport Christopher J. Rozell
+	Sample complexity and effective dimension for regression on manifolds	2020	Andrew D. McRae Justin Romberg Mark A. Davenport
+	Improved bounds for the eigenvalues of prolate spheroidal wave functions and discrete prolate spheroidal sequences	2020	Santhosh Karnik Justin Romberg Mark A. Davenport
+	Localized sketching for matrix multiplication and ridge regression.	2020	Rakshith Sharma Srinivasa Mark A. Davenport Justin Romberg
+ PDF Chat	Active Embedding Search via Noisy Paired Comparisons	2020	Gregory Canal Andrew K. Massimino Mark A. Davenport Christopher J. Rozell
+ PDF Chat	Trading Beams for Bandwidth: Imaging with Randomized Beamforming	2020	Rakshith Sharma Srinivasa Mark A. Davenport Justin Romberg
+	Dynamic Knowledge embedding and tracing	2020	Liangbei Xu Mark A. Davenport
+	Simultaneous Preference and Metric Learning from Paired Comparisons	2020	Austin Xu Mark A. Davenport
+	Sample complexity and effective dimension for regression on manifolds	2020	Andrew D. McRae Justin Romberg Mark A. Davenport
+	Improved bounds for the eigenvalues of prolate spheroidal wave functions and discrete prolate spheroidal sequences	2020	Santhosh Karnik Justin Romberg Mark A. Davenport
+	Localized sketching for matrix multiplication and ridge regression	2020	Rakshith S. Srinivasa Mark A. Davenport Justin Romberg
+	Semi-supervised sequence classification through change point detection	2020	Nauman Ahad Mark A. Davenport
+	Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals	2019	Matthew O’Shaughnessy Mark A. Davenport Christopher J. Rozell
+	Low-rank matrix completion and denoising under Poisson noise	2019	Andrew D. McRae Mark A. Davenport
+	Active embedding search via noisy paired comparisons	2019	Gregory Canal Andrew K. Massimino Mark A. Davenport Christopher J. Rozell
+	Trading beams for bandwidth: Imaging with randomized beamforming	2019	Rakshith Sharma Srinivasa Mark A. Davenport Justin Romberg
+	Low-rank matrix completion and denoising under Poisson noise	2019	Andrew D. McRae Mark A. Davenport
+	Active embedding search via noisy paired comparisons	2019	Gregory Canal Andrew K. Massimino Mark A. Davenport Christopher J. Rozell
+	Trading beams for bandwidth: Imaging with randomized beamforming	2019	Rakshith Sharma Srinivasa Mark A. Davenport Justin Romberg
+	Estimation of Poisson Arrival Processes Under Linear Models	2018	Michael G. Moore Mark A. Davenport
+	ROAST: Rapid Orthogonal Approximate Slepian Transform	2018	Zhihui Zhu Santhosh Karnik Michael B. Wakin Mark A. Davenport Justin Romberg
+ PDF Chat	A Unified Framework for Manifold Landmarking	2018	Hongteng Xu Licheng Yu Mark A. Davenport Hongyuan Zha
+	Estimation of Poisson arrival processes under linear models	2018	Michael G. Moore Mark A. Davenport
+	As you like it: Localization via paired comparisons	2018	Andrew K. Massimino Mark A. Davenport
+	Estimation of Poisson arrival processes under linear models	2018	Michael G. Moore Mark A. Davenport
+	Simultaneous recovery of a series of low-rank matrices by locally weighted matrix smoothing	2017	Liangbei Xu Mark A. Davenport
+	Active manifold learning via a unified framework for manifold landmarking.	2017	Hongteng Xu Licheng Yu Mark A. Davenport Hongyuan Zha
+	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators	2017	Zhihui Zhu Santhosh Karnik Mark A. Davenport Justin Romberg Michael B. Wakin
+ PDF Chat	The fast Slepian transform	2017	Santhosh Karnik Zhihui Zhu Michael B. Wakin Justin Romberg Mark A. Davenport
+	The geometry of random paired comparisons	2017	Andrew K. Massimino Mark A. Davenport
+	The Fast Slepian Transform	2016	Santhosh Karnik Zhihui Zhu Michael B. Wakin Justin Romberg Mark A. Davenport
+	Constrained Adaptive Sensing	2016	Mark A. Davenport Andrew K. Massimino Deanna Needell Tina Woolf
+	Analysis of wireless networks using Hawkes processes	2016	Michael G. Moore Mark A. Davenport
+	A Hawkes' eye view of network information flow	2016	Michael G. Moore Mark A. Davenport
+	An Overview of Low-Rank Matrix Recovery From Incomplete Observations	2016	Mark A. Davenport Justin Romberg
+	Dynamic matrix recovery from incomplete observations under an exact low-rank constraint	2016	Liangbei Xu Mark A. Davenport
+	The Fast Slepian Transform	2016	Santhosh Karnik Zhihui Zhu Michael B. Wakin Justin Romberg Mark A. Davenport
+	1-Bit matrix completion	2014	Mark A. Davenport Yaniv Plan E. van den Berg Mary Wootters
+ PDF Chat	Lost without a compass: Nonmetric triangulation and landmark multidimensional scaling	2013	Mark A. Davenport
+ PDF Chat	Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries	2013	Mark A. Davenport Deanna Needell Michael B. Wakin
+ PDF Chat	On the Stability and Accuracy of Least Squares Approximations	2013	Albert Cohen Mark A. Davenport D. Leviatan
+	1-Bit Matrix Completion	2012	Mark A. Davenport Yaniv Plan E. van den Berg Mary Wootters
+ PDF Chat	On the Fundamental Limits of Adaptive Sensing	2012	Ery Arias-Castro Emmanuel J. Candès Mark A. Davenport
+	How well can we estimate a sparse vector?	2012	Emmanuel J. Candès Mark A. Davenport
+ PDF Chat	The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range	2012	Mark A. Davenport Jason N. Laska J Treichler Richard G. Baraniuk
+	Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries	2012	Mark A. Davenport Deanna Needell Michael B. Wakin
+ PDF Chat	Compressive binary search	2012	Mark A. Davenport Ery Arias-Castro
+	Compressive sensing of analog signals using Discrete Prolate Spheroidal Sequences	2012	Mark A. Davenport Michael B. Wakin
+	Compressive binary search	2012	Mark A. Davenport Ery Arias-Castro
+	Compressive binary search	2012	Mark A. Davenport Ery Arias-Castro
+	Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries	2012	Mark A. Davenport Deanna Needell Michael B. Wakin
+	1-Bit Matrix Completion	2012	Mark A. Davenport Yaniv Plan E. van den Berg Mary Wootters
+	On the Fundamental Limits of Adaptive Sensing	2011	Ery Arias-Castro Emmanuel J. Candès Mark A. Davenport
+	On the stability and accuracy of least squares approximations	2011	Albert Cohen Mark A. Davenport D. Leviatan
+	Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences	2011	Mark A. Davenport Michael B. Wakin
+	The compressive multiplexer for multi-channel compressive sensing	2011	J. P. Slavinsky Jason N. Laska Mark A. Davenport Richard G. Baraniuk
+	How well can we estimate a sparse vector	2011	Emmanuel J. Candès Mark A. Davenport
+	How well can we estimate a sparse vector?	2011	Emmanuel J. Candès Mark A. Davenport
+	On the stability and accuracy of least squares approximations	2011	Albert Cohen Mark A. Davenport Leviatan Dany
+	Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences	2011	Mark A. Davenport Michael B. Wakin
+ PDF Chat	Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property	2010	Mark A. Davenport Michael B. Wakin
+	A Theoretical Analysis of Joint Manifolds	2009	Mark A. Davenport Chinmay Hegde Marco F. Duarte Richard G. Baraniuk
+	A simple proof that random matrices are democratic	2009	Mark A. Davenport Jason N. Laska Petros T. Boufounos Richard G. Baraniuk
+	Analysis of Orthogonal Matching Pursuit using the Restricted Isometry Property	2009	Mark A. Davenport Michael B. Wakin
+ PDF Chat	A Simple Proof of the Restricted Isometry Property for Random Matrices	2008	Richard G. Baraniuk Mark A. Davenport Ronald DeVore Michael B. Wakin
+	Error Control for Support Vector Machines	2007	Mark A. Davenport
+ PDF Chat	Learning Minimum Volume Sets with Support Vector Machines	2006	Mark A. Davenport Richard G. Baraniuk Clayton Scott
+	The Johnson-Lindenstrauss Lemma Meets Compressed Sensing	2006	Richard G. Baraniuk Mark A. Davenport Ronald DeVore Michael B. Wakin

Common Coauthors

Coauthor	Papers Together
Justin Romberg	25
Michael B. Wakin	15
Santhosh Karnik	14
Andrew D. McRae	12
Nauman Ahad	8
Richard G. Baraniuk	7
Andrew K. Massimino	7
Christopher J. Rozell	6
Michael G. Moore	5
Ery Arias-Castro	5
Zhihui Zhu	5
Emmanuel J. Candès	5
Peimeng Guan	4
Austin Xu	4
Gregory Canal	4
Rakshith Sharma Srinivasa	4
Deanna Needell	4
Coleman DeLude	3
Mary Wootters	3
E. van den Berg	3
Matthew O’Shaughnessy	3
Albert Cohen	3
Yaniv Plan	3
Liangbei Xu	3
Jason N. Laska	3
Andrew R. Sedler	2
Hongteng Xu	2
Ronald DeVore	2
Mudassir Masood	2
Yao Xie	2
Andrea Giovannucci	2
Naveed Iqbal	2
D. Leviatan	2
Zhu Feng	2
Harrison A. Grier	2
Chiraag Kaushik	2
Vidya Muthukumar	2
Rakshith S. Srinivasa	2
V. Sai Muthukumar	2
Matthew T. Kaufman	2
Chethan Pandarinath	2
Namrata Nadagouda	2
Licheng Yu	2
Hongyuan Zha	2
Christopher Hood	1
Leviatan Dany	1
Jihui Jin	1
Petros T. Boufounos	1
Tina Woolf	1
J Treichler	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	11
+	Compressed sensing	2006	David L. Donoho	11
+ PDF Chat	The fast Slepian transform	2017	Santhosh Karnik Zhihui Zhu Michael B. Wakin Justin Romberg Mark A. Davenport	9
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	9
+ PDF Chat	Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls	2011	Garvesh Raskutti Martin J. Wainwright Bin Yu	9
+	Compressive sensing of analog signals using Discrete Prolate Spheroidal Sequences	2012	Mark A. Davenport Michael B. Wakin	9
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	8
+ PDF Chat	A Simple Proof of the Restricted Isometry Property for Random Matrices	2008	Richard G. Baraniuk Mark A. Davenport Ronald DeVore Michael B. Wakin	8
+	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples	2008	Deanna Needell Joel A. Tropp	8
+	How well can we estimate a sparse vector?	2012	Emmanuel J. Candès Mark A. Davenport	7
+ PDF Chat	Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries	2016	Zhihui Zhu Michael B. Wakin	7
+	Restricted strong convexity and weighted matrix completion: Optimal bounds with noise	2010	Sahand Negahban Martin J. Wainwright	7
+ PDF Chat	Matrix Completion With Noise	2010	Emmanuel J. Candès Yaniv Plan	7
+ PDF Chat	Information Theoretic Bounds for Compressed Sensing	2010	Shuchin Aeron Venkatesh Saligrama Manqi Zhao	7
+ PDF Chat	An Introduction to Matrix Concentration Inequalities	2015	Joel A. Tropp	7
+	Spectrum estimation and harmonic analysis	1982	David J. Thomson	7
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	6
+	Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty-III: The Dimension of the Space of Essentially Time- and Band-Limited Signals	1962	H. J. Landau H. O. Pollak	6
+	The prolate matrix	1993	J. M. Varah	6
+	Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion	2011	Vladimir Koltchinskii Karim Lounici Alexandre B. Tsybakov	6
+	Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - IV: Extensions to Many Dimensions; Generalized Prolate Spheroidal Functions	1964	D. Slepian	5
+	A simple algorithm for generating discrete prolate spheroidal sequences	1994	Don Gruenbacher D.R. Hummels	5
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	5
+ PDF Chat	On the Stability of the Bareiss and Related Toeplitz Factorization Algorithms	1995	Adam W. Bojańczyk Richard P. Brent F. R. de Hoog Douglas R. Sweet	5
+	Compressed sensing with coherent and redundant dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall	5
+	High dimensional matrix estimation with unknown variance of the noise	2017	Olga Klopp Stéphane Gaïffas	5
+ PDF Chat	Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property	2010	Mark A. Davenport Michael B. Wakin	5
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	5
+	Solution of incorrectly formulated problems and the regularization method	1963	А. Н. Тихонов	4
+ PDF Chat	Poisson Matrix Recovery and Completion	2015	Yang Cao Yao Xie	4
+	Iterative hard thresholding for compressed sensing	2009	Thomas Blumensath Mike E. Davies	4
+ PDF Chat	Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors	2013	Laurent Jacques Jason N. Laska Petros T. Boufounos Richard G. Baraniuk	4
+ PDF Chat	A Technique for the Numerical Solution of Certain Integral Equations of the First Kind	1962	David Lee Phillips	4
+	The Eigenvalue Distribution of Time-Frequency Localization Operators	2015	Arie Israel	4
+	Concentration Inequalities and Model Selection	2007	Pascal Massart Jean Picard	4
+	On bandwidth	1976	D. Slepian	4
+ PDF Chat	MSE Estimates for Multitaper Spectral Estimation and Off-Grid Compressive Sensing	2017	Luís Daniel Abreu José Luis Romero	4
+	Composite self-concordant minimization	2015	Quoc Tran-Dinh Anastasios Kyrillidis Volkan Cevher	4
+ PDF Chat	Subspace Pursuit for Compressive Sensing Signal Reconstruction	2009	Wei Dai Olgica Milenković	4
+ PDF Chat	Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit	2008	Deanna Needell Roman Vershynin	4
+ PDF Chat	Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit	2010	Deanna Needell Roman Vershynin	4
+ PDF Chat	Sampling and Reconstructing Signals From a Union of Linear Subspaces	2011	Thomas Blumensath	4
+ PDF Chat	Rank penalized estimators for high-dimensional matrices	2011	Olga Klopp	4
+	Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes	2013	Ke Zhou Hongyuan Zha Le Song	4
+ PDF Chat	A remark on global positioning from local distances	2008	Amit Singer	4
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	4
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	4
+	Space-Time Point-Process Models for Earthquake Occurrences	1998	Yosihiko Ogata	4
+	Regularization Tools version 4.0 for Matlab 7.3	2007	Per Christian Hansen	4
+ PDF Chat	Uniqueness of Low-Rank Matrix Completion by Rigidity Theory	2010	Amit Singer Mihai Cucuringu	4