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Parameter-free Stochastic Optimization of Variationally Coherent
  Functions

Parameter-free Stochastic Optimization of Variationally Coherent Functions

30 January 2021
Francesco Orabona
Dávid Pál
ArXivPDFHTML

Papers citing "Parameter-free Stochastic Optimization of Variationally Coherent Functions"

7 / 7 papers shown
Title
How Free is Parameter-Free Stochastic Optimization?
How Free is Parameter-Free Stochastic Optimization?
Amit Attia
Tomer Koren
ODL
47
5
0
05 Feb 2024
Parameter-free projected gradient descent
Parameter-free projected gradient descent
Evgenii Chzhen
Christophe Giraud
Gilles Stoltz
26
4
0
31 May 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi
Oliver Hinder
Y. Carmon
ODL
40
57
0
08 Feb 2023
Learning-Rate-Free Learning by D-Adaptation
Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio
Konstantin Mishchenko
35
77
0
18 Jan 2023
Making SGD Parameter-Free
Making SGD Parameter-Free
Y. Carmon
Oliver Hinder
30
43
0
04 May 2022
Parameter-free Mirror Descent
Parameter-free Mirror Descent
Andrew Jacobsen
Ashok Cutkosky
20
32
0
26 Feb 2022
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
104
572
0
08 Dec 2012
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