Open AccessAdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
Author(s) -
Xiaofeng Wu,
Yuege Xie,
Simon S. Du,
Rachel Ward
Publication year - 2022
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i8.20848
Subject(s) - parameterized complexity , convergence (economics) , gradient descent , schedule , computer science , context (archaeology) , polynomial , mathematical optimization , convex function , function (biology) , artificial neural network , rate of convergence , stochastic gradient descent , regular polygon , algorithm , mathematics , artificial intelligence , paleontology , mathematical analysis , channel (broadcasting) , computer network , geometry , evolutionary biology , economics , biology , economic growth , operating system