Adafactor: Difference between revisions
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== Introduction == | == Introduction == | ||
== Problem Formulation == | == Problem Formulation == | ||
=== Objectives === | |||
Minimize the loss function Minimize the loss function \( f(x) \), where \( x \in \mathbb{R}^n \) and \( x \) is the weight vector to be optimized. | |||
== Numerical Examples == | == Numerical Examples == | ||
== Applications == | == Applications == | ||
== Conclusion == | == Conclusion == | ||
== Reference == | == Reference == | ||
Revision as of 15:58, 10 December 2024
Author: Aolei Cao (ac3237), Ziyang Li (zl986), Junjia Liang (jl4439) (ChemE 6800 Fall 2024)
Stewards: Nathan Preuss, Wei-Han Chen, Tianqi Xiao, Guoqing Hu
Introduction
Problem Formulation
Objectives
Minimize the loss function Minimize the loss function \( f(x) \), where \( x \in \mathbb{R}^n \) and \( x \) is the weight vector to be optimized.