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How many samples are needed to leverage smoothness?
v1v2v3 (latest)

How many samples are needed to leverage smoothness?

25 May 2023
Vivien A. Cabannes
Stefano Vigogna
ArXiv (abs)PDFHTML

Papers citing "How many samples are needed to leverage smoothness?"

12 / 12 papers shown
Title
Local Risk Bounds for Statistical Aggregation
Local Risk Bounds for Statistical Aggregation
Jaouad Mourtada
Tomas Vavskevivcius
Nikita Zhivotovskiy
57
1
0
29 Jun 2023
High-dimensional analysis of double descent for linear regression with
  random projections
High-dimensional analysis of double descent for linear regression with random projections
Francis R. Bach
70
36
0
02 Mar 2023
An elementary analysis of ridge regression with random design
An elementary analysis of ridge regression with random design
Jaouad Mourtada
Lorenzo Rosasco
67
11
0
16 Mar 2022
Distribution-Free Robust Linear Regression
Distribution-Free Robust Linear Regression
Jaouad Mourtada
Tomas Vaskevicius
Nikita Zhivotovskiy
OOD
67
24
0
25 Feb 2021
Fast rates in structured prediction
Fast rates in structured prediction
Vivien A. Cabannes
Alessandro Rudi
Francis R. Bach
405
19
0
01 Feb 2021
Generalization error of random features and kernel methods:
  hypercontractivity and kernel matrix concentration
Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration
Song Mei
Theodor Misiakiewicz
Andrea Montanari
84
112
0
26 Jan 2021
Interpolation and Learning with Scale Dependent Kernels
Nicolò Pagliana
Alessandro Rudi
Ernesto De Vito
Lorenzo Rosasco
74
8
0
17 Jun 2020
Exact minimax risk for linear least squares, and the lower tail of
  sample covariance matrices
Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices
Jaouad Mourtada
75
51
0
23 Dec 2019
The generalization error of random features regression: Precise
  asymptotics and double descent curve
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
101
639
0
14 Aug 2019
Consistency of Interpolation with Laplace Kernels is a High-Dimensional
  Phenomenon
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon
Alexander Rakhlin
Xiyu Zhai
107
79
0
28 Dec 2018
Just Interpolate: Kernel "Ridgeless" Regression Can Generalize
Just Interpolate: Kernel "Ridgeless" Regression Can Generalize
Tengyuan Liang
Alexander Rakhlin
68
354
0
01 Aug 2018
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm
Simon Fischer
Ingo Steinwart
175
151
0
23 Feb 2017
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