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2002.02881
Cited By

Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex
Optimization

v1v2v3 (latest)

Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization

7 February 2020

Thomas O'Leary-Roseberry

ArXiv (abs)PDF HTML

Papers citing "Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization"

4 / 4 papers shown

PETScML: Second-order solvers for training regression problems in
Scientific Machine Learning

PETScML: Second-order solvers for training regression problems in Scientific Machine LearningPlatform for Advanced Scientific Computing Conference (PASC), 2024

Stefano Zampini

Umberto Zerbinati

George Turkyyiah

257

6

0

18 Mar 2024

Series of Hessian-Vector Products for Tractable Saddle-Free Newton
Optimisation of Neural Networks

Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks

José Miguel Hernández-Lobato

233

1

0

23 Oct 2023

Residual-based error correction for neural operator accelerated
infinite-dimensional Bayesian inverse problems

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problemsJournal of Computational Physics (JCP), 2022

Thomas O'Leary-Roseberry

Prashant K. Jha

379

37

0

06 Oct 2022

Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive
Residual Networks

Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks

Thomas O'Leary-Roseberry

Karen E. Willcox

367

33

0

14 Dec 2021

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