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High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions
10 February 2016
Martin Genzel
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Papers citing
"High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions"
49 / 49 papers shown
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Xinshao Wang
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252
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Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
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261
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Non-Iterative Recovery from Nonlinear Observations using Generative Models
Computer Vision and Pattern Recognition (CVPR), 2022
Jiulong Liu
Zhaoqiang Liu
371
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31 May 2022
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
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Ising Model Selection Using
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Xiangming Meng
T. Obuchi
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483
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A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Foundations of Computational Mathematics (FoCM), 2020
Martin Genzel
A. Stollenwerk
253
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19 Sep 2020
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
Foundations of Computational Mathematics (FoCM), 2020
Marco Mondelli
Christos Thrampoulidis
R. Venkataramanan
428
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07 Aug 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model
Journal of the American Statistical Association (JASA), 2020
Jianqing Fan
Zhuoran Yang
Mengxin Yu
344
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16 Jul 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu
Jonathan Scarlett
358
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22 Jun 2020
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
Hossein Taheri
Ramtin Pedarsani
Christos Thrampoulidis
332
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16 Jun 2020
Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data
Sampling Theory, Signal Processing, and Data Analysis (TSPDA), 2020
Martin Genzel
Christian Kipp
400
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0
11 Apr 2020
II. High Dimensional Estimation under Weak Moment Assumptions: Structured Recovery and Matrix Estimation
Xiaohan Wei
319
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05 Mar 2020
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Hossein Taheri
Ramtin Pedarsani
Christos Thrampoulidis
292
29
0
17 Feb 2020
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
231
8
0
26 Nov 2019
A Model of Double Descent for High-dimensional Binary Linear Classification
Information and Inference A Journal of the IMA (JIII), 2019
Zeyu Deng
A. Kammoun
Christos Thrampoulidis
391
159
0
13 Nov 2019
Sharp Guarantees for Solving Random Equations with One-Bit Information
Allerton Conference on Communication, Control, and Computing (Allerton), 2019
Hossein Taheri
Ramtin Pedarsani
Christos Thrampoulidis
300
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0
12 Aug 2019
Quickly Finding the Best Linear Model in High Dimensions
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Yahya Sattar
Samet Oymak
224
8
0
03 Jul 2019
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin Genzel
Gitta Kutyniok
264
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0
20 Aug 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2018
Christos Thrampoulidis
A. S. Rawat
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222
35
0
18 Jul 2018
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization
Martin Genzel
A. Stollenwerk
197
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0
13 Apr 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang
Lin F. Yang
Ethan X. Fang
T. Zhao
Zhaoran Wang
Matey Neykov
189
15
0
18 Dec 2017
Lifting high-dimensional nonlinear models with Gaussian regressors
Christos Thrampoulidis
A. S. Rawat
297
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0
11 Dec 2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes
Abhishek Chakrabortty
Matey Neykov
Ray Carroll
Tianxi Cai
308
2
0
18 Jan 2017
Structured signal recovery from non-linear and heavy-tailed measurements
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Stanislav Minsker
Xiaohan Wei
287
47
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05 Sep 2016
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations
Martin Genzel
Gitta Kutyniok
231
14
0
31 Aug 2016
Non-asymptotic Analysis of
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-norm Support Vector Machines
A. Kolleck
J. Vybíral
245
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0
27 Sep 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
248
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0
06 Jun 2015
The generalized Lasso with non-linear observations
Y. Plan
Roman Vershynin
432
210
0
13 Feb 2015
Learning without Concentration for General Loss Functions
Probability theory and related fields (PTRF), 2014
S. Mendelson
295
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0
13 Oct 2014
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization
Mário A. T. Figueiredo
Robert D. Nowak
376
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0
14 Sep 2014
Estimation in high dimensions: a geometric perspective
Roman Vershynin
456
137
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20 May 2014
Convex recovery of a structured signal from independent random linear measurements
J. Tropp
479
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0
05 May 2014
High-dimensional estimation with geometric constraints
Y. Plan
Roman Vershynin
E. Yudovina
445
147
0
14 Apr 2014
Simple Error Bounds for Regularized Noisy Linear Inverse Problems
Christos Thrampoulidis
Samet Oymak
B. Hassibi
315
22
0
25 Jan 2014
Sparse recovery under weak moment assumptions
Guillaume Lecué
S. Mendelson
462
98
0
09 Jan 2014
Learning without Concentration
Annual Conference Computational Learning Theory (COLT), 2014
S. Mendelson
701
343
0
01 Jan 2014
Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information
Samet Oymak
Christos Thrampoulidis
B. Hassibi
343
25
0
02 Dec 2013
The Squared-Error of Generalized LASSO: A Precise Analysis
Allerton Conference on Communication, Control, and Computing (Allerton), 2013
Samet Oymak
Christos Thrampoulidis
B. Hassibi
537
133
0
04 Nov 2013
Learning subgaussian classes : Upper and minimax bounds
Guillaume Lecué
S. Mendelson
344
87
0
21 May 2013
The Lasso Problem and Uniqueness
Robert Tibshirani
665
582
0
01 Jun 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2012
Y. Plan
Roman Vershynin
730
469
0
06 Feb 2012
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
696
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03 Dec 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
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13 Oct 2010
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
M. Fornasier
Karin Schnass
J. Vybíral
344
103
0
18 Aug 2010
The solution path of the generalized lasso
Robert Tibshirani
Jonathan E. Taylor
718
908
0
11 May 2010
Self-concordant analysis for logistic regression
Francis R. Bach
507
226
0
24 Oct 2009
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
715
747
0
05 Oct 2009
Piecewise linear regularized solution paths
Saharon Rosset
Ji Zhu
958
526
0
16 Aug 2007
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