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Optimization with Access to Auxiliary Information

Optimization with Access to Auxiliary Information

1 June 2022
El Mahdi Chayti
Sai Praneeth Karimireddy
    AAML
ArXivPDFHTML

Papers citing "Optimization with Access to Auxiliary Information"

4 / 4 papers shown
Title
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic
  Newton Methods
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
27
5
0
23 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper
  Proxy
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
Blake E. Woodworth
Konstantin Mishchenko
Francis R. Bach
42
6
0
07 Feb 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient
  Correction
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Shuren He
Bani Mallick
29
6
0
09 Jan 2023
Linear Speedup in Personalized Collaborative Learning
Linear Speedup in Personalized Collaborative Learning
El Mahdi Chayti
Sai Praneeth Karimireddy
Sebastian U. Stich
Nicolas Flammarion
Martin Jaggi
FedML
15
13
0
10 Nov 2021
1