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New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results

New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results

26 May 2025
Francesco Orabona
Ryan DÓrazio
ArXiv (abs)PDFHTML

Papers citing "New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results"

5 / 5 papers shown
Title
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
Robert M. Gower
Guillaume Garrigos
Nicolas Loizou
Dimitris Oikonomou
Konstantin Mishchenko
Fabian Schaipp
73
1
0
02 Apr 2025
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
Dimitris Oikonomou
Nicolas Loizou
76
6
0
06 Jun 2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin
Ahmed Khaled
Yuanhao Wang
Aaron Defazio
Robert Mansel Gower
92
9
0
06 Mar 2024
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast
  Convergence
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
Nicolas Loizou
Sharan Vaswani
I. Laradji
Simon Lacoste-Julien
62
186
0
24 Feb 2020
On the Convergence of Stochastic Gradient Descent with Adaptive
  Stepsizes
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyun Li
Francesco Orabona
69
297
0
21 May 2018
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