Sohail Bahmani

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Fundamental Accuracy--Robustness Trade-off in Regression and Classification	2024	Sohail Bahmani
+ PDF Chat	Max-Linear Regression by Convex Programming	2024	Seonho Kim Sohail Bahmani Kiryung Lee
+	Instance-dependent uniform tail bounds for empirical processes	2022	Sohail Bahmani
+	Decentralized Feature-Distributed Optimization for Generalized Linear Models.	2021	Brighton Ancelin Sohail Bahmani Justin Romberg
+ PDF Chat	Nearly optimal robust mean estimation via empirical characteristic function	2021	Sohail Bahmani
+	Max-Linear Regression by Scalable and Guaranteed Convex Programming.	2021	Seonho Kim Sohail Bahmani Kiryung Lee
+ PDF Chat	Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization	2021	Sohail Bahmani Kiryung Lee
+	Decentralized Feature-Distributed Optimization for Generalized Linear Models	2021	Brighton Ancelin Sohail Bahmani Justin Romberg
+	Max-Linear Regression by Scalable and Guaranteed Convex Programming	2021	Seonho Kim Sohail Bahmani Kiryung Lee
+ PDF Chat	Phase retrieval of low-rank matrices by anchored regression	2020	Kiryung Lee Sohail Bahmani Yonina C. Eldar Justin Romberg
+	Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization	2020	Sohail Bahmani Kiryung Lee
+	Nearly Optimal Robust Mean Estimation via Empirical Characteristic Function	2020	Sohail Bahmani
+	Convex Programming for Estimation in Nonlinear Recurrent Models	2020	Sohail Bahmani Justin Romberg
+	Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization	2020	Sohail Bahmani Kiryung Lee
+	Nearly Optimal Robust Mean Estimation via Empirical Characteristic Function	2020	Sohail Bahmani
+	Phase Retrieval of Low-Rank Matrices by Anchored Regression	2019	Kiryung Lee Sohail Bahmani Yonina C. Eldar Justin Romberg
+	Estimation from nonlinear observations via convex programming with application to bilinear regression	2019	Sohail Bahmani
+	Convex Programming for Estimation in Nonlinear Recurrent Models	2019	Sohail Bahmani Justin Romberg
+	Phase Retrieval of Low-Rank Matrices by Anchored Regression	2019	Kiryung Lee Sohail Bahmani Yonina C. Eldar Justin Romberg
+ PDF Chat	Solving Equations of Random Convex Functions via Anchored Regression	2018	Sohail Bahmani Justin Romberg
+	Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression	2018	Sohail Bahmani
+	Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression	2018	Sohail Bahmani
+	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs	2017	Sohail Bahmani Justin Romberg Prasad Tetali
+	Anchored Regression: Solving Random Convex Equations via Convex Programming.	2017	Sohail Bahmani Justin Romberg
+	Solving Equations of Random Convex Functions via Anchored Regression	2017	Sohail Bahmani Justin Romberg
+	Solving Equations of Random Convex Functions via Anchored Regression	2017	Sohail Bahmani Justin Romberg
+	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs	2016	Sohail Bahmani Justin Romberg Prasad Tetali
+ PDF Chat	Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements	2016	Sohail Bahmani Justin Romberg
+ PDF Chat	Learning Model-Based Sparsity via Projected Gradient Descent	2016	Sohail Bahmani Petros T. Boufounos Bhiksha Raj
+	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation	2016	Sohail Bahmani Justin Romberg
+	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs	2016	Sohail Bahmani Justin Romberg Prasad Tetali
+	Efficient compressive phase retrieval with constrained sensing vectors	2015	Sohail Bahmani Justin Romberg
+ PDF Chat	Sketching for simultaneously sparse and low-rank covariance matrices	2015	Sohail Bahmani Justin Romberg
+	Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices	2015	Sohail Bahmani Justin Romberg
+	Compressive Deconvolution in Random Mask Imaging	2015	Sohail Bahmani Justin Romberg
+	Efficient Compressive Phase Retrieval with Constrained Sensing Vectors	2015	Sohail Bahmani Justin Romberg
+	Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements	2015	Sohail Bahmani Justin Romberg
+ PDF Chat	Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation	2015	Sohail Bahmani Justin Romberg
+	Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices	2015	Sohail Bahmani Justin Romberg
+	Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements	2015	Sohail Bahmani Justin Romberg
+	Efficient Compressive Phase Retrieval with Constrained Sensing Vectors	2015	Sohail Bahmani Justin Romberg
+	Algorithms for Sparsity-Constrained Optimization	2013	Sohail Bahmani
+	Sparsity-Constrained Optimization	2013	Sohail Bahmani
+	Projected Gradient Descent for ℓ p -Constrained Least Squares	2013	Sohail Bahmani
+	Robust 1-bit Compressive Sensing via Gradient Support Pursuit	2013	Sohail Bahmani Petros T. Boufounos Bhiksha Raj
+	A unifying analysis of projected gradient descent for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub></mml:math>-constrained least squares	2012	Sohail Bahmani B. Raj
+	Greedy Sparsity-Constrained Optimization	2012	Sohail Bahmani Bhiksha Raj Petros T. Boufounos
+	Greedy Sparsity-Constrained Optimization	2012	Sohail Bahmani Bhiksha Raj Petros T. Boufounos
+ PDF Chat	Greedy sparsity-constrained optimization	2011	Sohail Bahmani Petros T. Boufounos Bhiksha Raj

Common Coauthors

Coauthor	Papers Together
Justin Romberg	19
Kiryung Lee	9
Justin Romberg	7
Bhiksha Raj	5
Petros T. Boufounos	5
Prasad Tetali	3
Yonina C. Eldar	3
Seonho Kim	2
Brighton Ancelin	2
Seonho Kim	1
B. Raj	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	User-Friendly Tail Bounds for Sums of Random Matrices	2011	Joel A. Tropp	10
+ PDF Chat	PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming	2012	Emmanuel J. Candès Thomas Strohmer Vladislav Voroninski	9
+	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples	2008	Deanna Needell Joel A. Tropp	9
+	Iterative hard thresholding for compressed sensing	2009	Thomas Blumensath Mike E. Davies	8
+ PDF Chat	Phase Retrieval via Wirtinger Flow: Theory and Algorithms	2015	Emmanuel J. Candès Xiaodong Li Mahdi Soltanolkotabi	8
+	Fast global convergence rates of gradient methods for high-dimensional statistical recovery	2010	Alekh Agarwal Sahand Negahban Martin J. Wainwright	7
+ PDF Chat	Blind Deconvolution Using Convex Programming	2014	Ali Ahmed Benjamin Recht Justin Romberg	7
+ PDF Chat	Recovering Low-Rank Matrices From Few Coefficients in Any Basis	2011	David Groß	7
+	PhaseMax: Convex Phase Retrieval via Basis Pursuit	2018	Tom Goldstein Christoph Studer	6
+	Low rank matrix recovery from rank one measurements	2015	Richard Kueng Holger Rauhut Ulrich Terstiege	6
+ PDF Chat	Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming	2015	Yuxin Chen Yuejie Chi Andrea Goldsmith	6
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	6
+ PDF Chat	Solving Equations of Random Convex Functions via Anchored Regression	2018	Sohail Bahmani Justin Romberg	5
+ PDF Chat	The Convex Geometry of Linear Inverse Problems	2012	Venkat Chandrasekaran Benjamin Recht Pablo A. Parrilo Alan S. Willsky	5
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	5
+ PDF Chat	Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices	2015	Samet Oymak Amin Jalali Maryam Fazel Yonina C. Eldar Babak Hassibi	5
+	Robust sparse phase retrieval made easy	2015	Mark Iwen Aditya Viswanathan Yang Wang	5
+	A note on analytic functions in the unit circle	1932	R. E. A. C. Paley A. Zygmund	5
+ PDF Chat	Sparse Signal Recovery from Quadratic Measurements via Convex Programming	2013	Xiaodong Li Vladislav Voroninski	5
+ PDF Chat	Convex Recovery of a Structured Signal from Independent Random Linear Measurements	2015	Joel A. Tropp	5
+ PDF Chat	Templates for convex cone problems with applications to sparse signal recovery	2011	Stephen R. Becker Emmanuel J. Candès Michael C. Grant	5
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	5
+	Phase recovery, MaxCut and complex semidefinite programming	2013	Irène Waldspurger Alexandre d’Aspremont Stéphane Mallat	5
+ PDF Chat	Honest variable selection in linear and logistic regression models via ℓ1 and ℓ1+ℓ2 penalization	2008	Florentina Bunea	5
+ PDF Chat	Subspace Pursuit for Compressive Sensing Signal Reconstruction	2009	Wei Dai Olgica Milenković	5
+	Greedy Algorithms for Structurally Constrained High Dimensional Problems	2011	Ambuj Tewari Pradeep Ravikumar Inderjit S. Dhillon	5
+ PDF Chat	Noncommutative Bennett and Rosenthal inequalities	2013	Marius Junge Qiang Zeng	5
+	Phase Retrieval using Alternating Minimization	2013	Praneeth Netrapalli Prateek Jain Sujay Sanghavi	5
+	Group Orthogonal Matching Pursuit for Logistic Regression	2011	Aurélie Lozano Grzegorz Świrszcz Naoki Abe	5
+	An Introduction to Generalized Linear Models.	1991	Potter C. Chang Annette J. Dobson	5
+	Empirical Processes in M-Estimation	2000	Sara A. van de Geer	4
+ PDF Chat	Solving Quadratic Equations via PhaseLift When There Are About as Many Equations as Unknowns	2013	Emmanuel J. Candès Xiaodong Li	4
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	4
+ PDF Chat	Sparse Recovery With Orthogonal Matching Pursuit Under RIP	2011	Tong Zhang	4
+	An Overview of Low-Rank Matrix Recovery From Incomplete Observations	2016	Mark A. Davenport Justin Romberg	4
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	4
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	4
+ PDF Chat	Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach	2012	Yaniv Plan Roman Vershynin	4
+ PDF Chat	Bounding the Smallest Singular Value of a Random Matrix Without Concentration	2015	Vladimir Koltchinskii Shahar Mendelson	4
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	4
+	A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers	2012	Sahand Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu	4
+	Estimation from nonlinear observations via convex programming with application to bilinear regression	2019	Sohail Bahmani	4
+ PDF Chat	Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing	2010	Arian Maleki David L. Donoho	4
+	Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion	2011	Vladimir Koltchinskii Karim Lounici Alexandre B. Tsybakov	4
+	Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing	2011	Yoav Shechtman Yonina C. Eldar Alexander Szameit Mordechai Segev	4
+ 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	4
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	4
+	Learning without Concentration	2014	Shahar Mendelson	4
+ PDF Chat	High-dimensional generalized linear models and the lasso	2008	Sara A. van de Geer	4
+	Compressive Sensing with structured random matrices	2010	Holger Rauhut	3