Parabolic Approximation Line Search for DNNs

28 March 2019

Papers citing "Parabolic Approximation Line Search for DNNs"

6 / 6 papers shown

Title
Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models Matteo Lapucci Davide Pucci 29 1 0 06 Aug 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 15 0 0 26 Dec 2023
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity A. Davtyan Sepehr Sameni L. Cerkezi Givi Meishvili Adam Bielski Paolo Favaro ODL 51 2 0 07 Jul 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 48 56 0 21 Dec 2020
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems Max Mutschler A. Zell 25 0 0 02 Oct 2020
L4: Practical loss-based stepsize adaptation for deep learning Michal Rolínek Georg Martius ODL 36 63 0 14 Feb 2018