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Eva: A General Vectorized Approximation Framework for Second-order
  Optimization

Eva: A General Vectorized Approximation Framework for Second-order Optimization

4 August 2023
Lin Zhang
S. Shi
Bo-wen Li
ArXivPDFHTML

Papers citing "Eva: A General Vectorized Approximation Framework for Second-order Optimization"

4 / 4 papers shown
Title
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning
Xinwei Ou
Ce Zhu
Xiaolin Huang
Yipeng Liu
ODL
40
0
0
06 Mar 2024
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
Frederik Benzing
ODL
40
23
0
28 Jan 2022
Accelerating Distributed K-FAC with Smart Parallelism of Computing and
  Communication Tasks
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
S. Shi
Lin Zhang
Bo-wen Li
37
9
0
14 Jul 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
1