Estimation in high dimensions: a geometric perspective

20 May 2014

Roman Vershynin

Papers citing "Estimation in high dimensions: a geometric perspective"

21 / 21 papers shown

Title
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning Tyler Chang Andrew Gillette R. Maulik 54 2 0 04 Apr 2024
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 38 5 0 25 Oct 2022
Differentially Private Estimation of Hawkes Process Simiao Zuo Tianyi Liu Tuo Zhao H. Zha 26 1 0 15 Sep 2022
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization Manuel Madeira Renato M. P. Negrinho J. Xavier P. Aguiar 23 0 0 07 Sep 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization Mathieu Even Laurent Massoulié 24 14 0 04 Feb 2021
$Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing$ Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing Yiming Xu A. Narayan Hoang Tran Clayton Webster 26 6 0 13 Apr 2020
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond A. Banerjee Qilong Gu V. Sivakumar Zhiwei Steven Wu 24 4 0 11 Oct 2019
The advantages of multiple classes for reducing overfitting from test set reuse Vitaly Feldman Roy Frostig Moritz Hardt 27 29 0 24 May 2019
Robust 1-Bit Compressed Sensing via Hinge Loss Minimization Martin Genzel A. Stollenwerk 13 5 0 13 Apr 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional Case Di Wang Marco Gaboardi Jinhui Xu 26 61 0 12 Feb 2018
Classification and Geometry of General Perceptual Manifolds SueYeon Chung Daniel D. Lee H. Sompolinsky 19 151 0 17 Oct 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible Kai Zheng Wenlong Mou Liwei Wang 34 41 0 11 Jun 2017
Four lectures on probabilistic methods for data science Roman Vershynin 19 25 0 20 Dec 2016
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data Jialei Wang J. Lee M. Mahdavi Mladen Kolar Nathan Srebro 21 50 0 10 Oct 2016
Unified View of Matrix Completion under General Structural Constraints Suriya Gunasekar A. Banerjee Joydeep Ghosh 22 11 0 29 Mar 2016
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions Martin Genzel 30 45 0 10 Feb 2016
Universality laws for randomized dimension reduction, with applications Samet Oymak J. Tropp 52 109 0 30 Nov 2015
Joint estimation and model order selection for one dimensional ARMA models via convex optimization: a nuclear norm penalization approach Stéphane Chrétien Tianwen Wei Basad Al-Sarray 33 2 0 07 Aug 2015
A Geometric View on Constrained M-Estimators Yen-Huan Li Ya-Ping Hsieh N. Zerbib V. Cevher 19 6 0 26 Jun 2015
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization Mário A. T. Figueiredo Robert D. Nowak 25 28 0 14 Sep 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 54 27 0 17 Apr 2014