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On Least Squares Estimation under Heteroscedastic and Heavy-Tailed
  Errors
v1v2v3 (latest)

On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors

4 September 2019
Arun K. Kuchibhotla
Rohit Patra
ArXiv (abs)PDFHTML

Papers citing "On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors"

3 / 3 papers shown
Title
Regularized least squares learning with heavy-tailed noise is minimax optimal
Regularized least squares learning with heavy-tailed noise is minimax optimal
Mattes Mollenhauer
Nicole Mücke
Dimitri Meunier
Arthur Gretton
91
0
0
20 May 2025
Improved Convergence Rate of Nested Simulation with LSE on Sieve
Improved Convergence Rate of Nested Simulation with LSE on Sieve
Ruoxue Liu
Liang Ding
Wei Cao
Lu Zou
28
0
0
18 Oct 2023
How do noise tails impact on deep ReLU networks?
How do noise tails impact on deep ReLU networks?
Jianqing Fan
Yihong Gu
Wen-Xin Zhou
ODL
126
13
0
20 Mar 2022
1