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2102.03183
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Last iterate convergence of SGD for Least-Squares in the Interpolation regime
5 February 2021
Aditya Varre
Loucas Pillaud-Vivien
Nicolas Flammarion
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Papers citing
"Last iterate convergence of SGD for Least-Squares in the Interpolation regime"
11 / 11 papers shown
Title
Improved Scaling Laws in Linear Regression via Data Reuse
Licong Lin
Jingfeng Wu
Peter Bartlett
14
0
0
10 Jun 2025
Optimal Rates in Continual Linear Regression via Increasing Regularization
Ran Levinstein
Amit Attia
Matan Schliserman
Uri Sherman
Tomer Koren
Daniel Soudry
Itay Evron
CLL
22
0
0
06 Jun 2025
SGD with memory: fundamental properties and stochastic acceleration
Dmitry Yarotsky
Maksim Velikanov
114
1
0
05 Oct 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin
Jingfeng Wu
Sham Kakade
Peter L. Bartlett
Jason D. Lee
LRM
145
20
0
12 Jun 2024
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
Aaron Mishkin
Mert Pilanci
Mark Schmidt
136
1
0
03 Apr 2024
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
107
2
0
20 Feb 2023
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
Luc Brogat-Motte
Alessandro Rudi
Céline Brouard
Juho Rousu
Florence dÁlché-Buc
77
6
0
16 Nov 2022
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions
Maksim Velikanov
Dmitry Yarotsky
97
8
0
02 Feb 2022
On the Double Descent of Random Features Models Trained with SGD
Fanghui Liu
Johan A. K. Suykens
Volkan Cevher
MLT
101
10
0
13 Oct 2021
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
Hugo Cui
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
90
85
0
31 May 2021
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization
Ke Wang
Christos Thrampoulidis
98
29
0
18 Nov 2020
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