The lower tail of random quadratic forms, with applications to ordinary least squares and restricted eigenvalue properties (Q101496503)

11 November 2020

São Paulo Research Foundation

part of

NeuroMat

funder

object named as

FAPESP 2013/07699-0

1 reference

11 November 2020

title

The lower tail of random quadratic forms, with applications to ordinary least squares and restricted eigenvalue properties (English)

1 reference

11 November 2020

Roberto Imbuzeiro Moraes Felinto de Oliveira

main subject

least squares method

0 references

author

1

object named as

Roberto Imbuzeiro Oliveira

1 reference

11 November 2020

language of work or name

English

1 reference

11 November 2020

publication date

10 December 2013

1 reference

11 November 2020

full work available at URL

0 references

published in

arXiv

1 reference

https://arxiv.org/abs/1312.2903

Quantitative estimates of the convergence of the empirical covariance matrix in log-concave ensembles

10 August 2021

cites work

1

1 reference

Restricted Isometry Property of Matrices with Independent Columns and Neighborly Polytopes by Random Sampling

22 February 2021

2

1 reference

Sharp bounds on the rate of convergence of the empirical covariance matrix

22 February 2021

3

1 reference

Risk bounds in linear regression through PAC-Bayesian truncation

22 February 2021

4

1 reference

Robust linear least squares regression

22 February 2021

5

1 reference

Limit of the Smallest Eigenvalue of a Large Dimensional Sample Covariance Matrix

22 February 2021

6

1 reference

FAST RATES FOR ESTIMATION ERROR AND ORACLE INEQUALITIES FOR MODEL SELECTION

22 February 2021

7

1 reference

ℓ 1-regularized linear regression: persistence and oracle inequalities

22 February 2021

8

1 reference

Pivotal estimation via square-root lasso in nonparametric regression

22 February 2021

9

1 reference

On the dependence of the Berry–Esseen bound on dimension

22 February 2021

10

1 reference

Simultaneous analysis of Lasso and Dantzig selector

22 February 2021

11

1 reference

On the conditions used to prove oracle results for the Lasso

22 February 2021

12

1 reference

Statistics for High-Dimensional Data: Methods, Theory and Applications

22 February 2021

13

1 reference

Stable Recovery of Sparse Signals and an Oracle Inequality

22 February 2021

14

1 reference

The Dantzig selector: Statistical estimation when p is much larger than n

22 February 2021

15

1 reference

A Probabilistic and RIPless Theory of Compressed Sensing

22 February 2021

16

1 reference

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

22 February 2021

17

1 reference

Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning

22 February 2021

18

1 reference

22 February 2021

Compressed sensing

19

1 reference

The Concentration of Measure Phenomenon

22 February 2021

22

1 reference

Lasso-type recovery of sparse representations for high-dimensional data

22 February 2021

23

1 reference

Sums of random Hermitian matrices and an inequality by Rudelson

22 February 2021

25

1 reference

Random Vectors in the Isotropic Position

22 February 2021

27

1 reference

On sparse reconstruction from Fourier and Gaussian measurements

22 February 2021

28

1 reference

Reconstruction From Anisotropic Random Measurements

22 February 2021

29

1 reference

Covariance estimation for distributions with 2+ε moments

22 February 2021

30

1 reference

Regression Shrinkage and Selection Via the Lasso

22 February 2021

31

1 reference