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1404.3749
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High-dimensional estimation with geometric constraints
14 April 2014
Y. Plan
Roman Vershynin
E. Yudovina
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Papers citing
"High-dimensional estimation with geometric constraints"
50 / 78 papers shown
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
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Hugo Larochelle
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21 Mar 2025
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies
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Gil Kur
Patrick Rebeschini
337
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Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
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Neha Sangwan
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298
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21 Feb 2025
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
Shihao Zhang
Rayan Saab
184
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04 Feb 2025
Improving Pretraining Data Using Perplexity Correlations
International Conference on Learning Representations (ICLR), 2024
Tristan Thrush
Christopher Potts
Tatsunori Hashimoto
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09 Sep 2024
The Star Geometry of Critic-Based Regularizer Learning
Neural Information Processing Systems (NeurIPS), 2024
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
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420
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29 Aug 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Neural Information Processing Systems (NeurIPS), 2023
Junren Chen
Jonathan Scarlett
Michael K. Ng
Zhaoqiang Liu
FedML
418
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0
25 Sep 2023
On the sample complexity of parameter estimation in logistic regression with normal design
Annual Conference Computational Learning Theory (COLT), 2023
Daniel J. Hsu
A. Mazumdar
596
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09 Jul 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Junren Chen
Michael Kwok-Po Ng
Haiyan Zhao
MQ
347
21
0
30 Dec 2022
Misspecified Phase Retrieval with Generative Priors
Neural Information Processing Systems (NeurIPS), 2022
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
268
7
0
11 Oct 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Zhaoqiang Liu
J. Han
281
9
0
21 Sep 2022
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Namiko Matsumoto
A. Mazumdar
MQ
288
23
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07 Jul 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Computer Vision and Pattern Recognition (CVPR), 2022
Jiulong Liu
Zhaoqiang Liu
396
13
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31 May 2022
List-Decodable Sparse Mean Estimation
Neural Information Processing Systems (NeurIPS), 2022
Shiwei Zeng
Jie Shen
305
11
0
28 May 2022
Observable adjustments in single-index models for regularized M-estimators
Annals of Statistics (Ann. Stat.), 2022
Pierre C. Bellec
355
13
0
14 Apr 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Junren Chen
Cheng-Long Wang
Michael Kwok-Po Ng
Haiyan Zhao
MQ
545
26
0
26 Feb 2022
Robust parameter estimation of regression model under weakened moment assumptions
Kangqiang Li
Songqiao Tang
Lixin Zhang
487
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0
08 Dec 2021
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension
Journal of Scientific Computing (J. Sci. Comput.), 2021
Yuling Jiao
Dingwei Li
Min Liu
Xiliang Lu
Yuanyuan Yang
246
3
0
29 Nov 2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
Information Theory Workshop (ITW), 2021
Zhaoqiang Liu
Subhro Ghosh
J. Han
Jonathan Scarlett
203
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08 Aug 2021
Convergence guarantee for the sparse monotone single index model
Electronic Journal of Statistics (EJS), 2021
Ran Dai
Hyebin Song
Rina Foygel Barber
Garvesh Raskutti
272
3
0
17 May 2021
Joint Dimensionality Reduction for Separable Embedding Estimation
Yanjun Li
Bihan Wen
Hao Cheng
Y. Bresler
107
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14 Jan 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
International Conference on Machine Learning (ICML), 2020
Jie Shen
442
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19 Dec 2020
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Foundations of Computational Mathematics (FoCM), 2020
Martin Genzel
A. Stollenwerk
257
7
0
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
450
18
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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
360
24
0
16 Jul 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Jie Shen
265
5
0
07 Jul 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu
Jonathan Scarlett
385
29
0
22 Jun 2020
Learning Polynomials of Few Relevant Dimensions
Annual Conference Computational Learning Theory (COLT), 2020
Sitan Chen
Raghu Meka
262
43
0
28 Apr 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
410
10
0
11 Apr 2020
II. High Dimensional Estimation under Weak Moment Assumptions: Structured Recovery and Matrix Estimation
Xiaohan Wei
331
0
0
05 Mar 2020
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
234
8
0
26 Nov 2019
Weighted matrix completion from non-random, non-uniform sampling patterns
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
373
31
0
30 Oct 2019
Estimating covariance and precision matrices along subspaces
Electronic Journal of Statistics (EJS), 2019
Ž. Kereta
T. Klock
255
8
0
26 Sep 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Delin Qu
Xiaohan Wei
Zhuoran Yang
371
25
0
14 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
241
8
0
03 Jul 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
397
22
0
16 Oct 2018
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin Genzel
Gitta Kutyniok
268
2
0
20 Aug 2018
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient
Amir H. Asiaee
Samet Oymak
K. Coombes
A. Banerjee
FedML
430
9
0
11 Jun 2018
Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates
Xiaohan Wei
264
11
0
16 Apr 2018
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization
Martin Genzel
A. Stollenwerk
204
7
0
13 Apr 2018
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2018
A. Elsener
Sara van de Geer
237
12
0
27 Feb 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang
Lin F. Yang
Ethan X. Fang
T. Zhao
Zhaoran Wang
Matey Neykov
199
15
0
18 Dec 2017
Lifting high-dimensional nonlinear models with Gaussian regressors
Christos Thrampoulidis
A. S. Rawat
299
8
0
11 Dec 2017
Fast Low-Rank Matrix Estimation without the Condition Number
Mohammadreza Soltani
Chinmay Hegde
264
10
0
08 Dec 2017
Robust Decoding from 1-Bit Compressive Sampling with Least Squares
Jian Huang
Yuling Jiao
Xiliang Lu
Liping Zhu
MQ
246
4
0
03 Nov 2017
Demixing Structured Superposition Signals from Periodic and Aperiodic Nonlinear Observations
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
Mohammadreza Soltani
Chinmay Hegde
171
0
0
08 Aug 2017
Localized Gaussian width of
M
M
M
-convex hulls with applications to Lasso and convex aggregation
Pierre C. Bellec
303
18
0
30 May 2017
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation
Information and Inference A Journal of the IMA (JIII), 2017
Yue M. Lu
Gen Li
370
102
0
21 Feb 2017
Solving Equations of Random Convex Functions via Anchored Regression
Foundations of Computational Mathematics (FoCM), 2017
S. Bahmani
Justin Romberg
360
10
0
17 Feb 2017
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