Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning

20 February 2023

Papers citing "Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning"

6 / 6 papers shown

Title
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 105 0 0 10 Feb 2025
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 59 0 0 09 Apr 2024
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 105 367 0 13 Feb 2023
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 242 405 0 24 Jan 2022
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 56 38 0 01 Jun 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 219 1,567 0 11 Jan 2021