High-dimensional estimation with geometric constraints

14 April 2014

Roman Vershynin

Papers citing "High-dimensional estimation with geometric constraints"

21 / 21 papers shown

Title
Improving Pretraining Data Using Perplexity Correlations Tristan Thrush Christopher Potts Tatsunori Hashimoto 32 17 0 09 Sep 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 32 6 0 25 Sep 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 24 12 0 30 Dec 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 38 4 0 11 Oct 2022
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing Namiko Matsumoto A. Mazumdar MQ 28 10 0 07 Jul 2022
Robust parameter estimation of regression model under weakened moment assumptions Kangqiang Li Songqiao Tang Lixin Zhang 20 0 0 08 Dec 2021
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations Martin Genzel A. Stollenwerk 17 6 0 19 Sep 2020
Weighted matrix completion from non-random, non-uniform sampling patterns S. Foucart Deanna Needell Reese Pathak Y. Plan Mary Wootters 14 27 0 30 Oct 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 27 24 0 14 Aug 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 18 21 0 16 Oct 2018
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators A. Elsener Sara van de Geer 22 10 0 27 Feb 2018
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 10 8 0 11 Dec 2017
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 13 17 0 30 May 2017
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation Yue M. Lu Gen Li 15 89 0 21 Feb 2017
Four lectures on probabilistic methods for data science Roman Vershynin 14 25 0 20 Dec 2016
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations Mohammadreza Soltani C. Hegde 21 29 0 03 Aug 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 16 45 0 10 Feb 2016
A Geometric View on Constrained M-Estimators Yen-Huan Li Ya-Ping Hsieh N. Zerbib V. Cevher 19 6 0 26 Jun 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 28 116 0 06 Jun 2015
Optimal linear estimation under unknown nonlinear transform Xinyang Yi Zhaoran Wang C. Caramanis Han Liu 28 29 0 13 May 2015
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? Raja Giryes Guillermo Sapiro A. Bronstein 37 187 0 30 Apr 2015