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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

23 October 2023
E. T. Oldewage
Ross M. Clarke
José Miguel Hernández-Lobato
    ODL
ArXivPDFHTML

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

3 / 3 papers shown
Title
Do Parameters Reveal More than Loss for Membership Inference?
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri
Xiao Zhang
David E. Evans
MIACV
MIALM
AAML
52
1
0
17 Jun 2024
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex
  Optimization
Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization
Thomas O'Leary-Roseberry
Nick Alger
Omar Ghattas
ODL
37
9
0
07 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1