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2301.09511
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On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality
23 January 2023
Lu Xia
M. Hochstenbach
Stefano Massei
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Papers citing
"On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality"
13 / 13 papers shown
Title
Error Analysis of Sum-Product Algorithms under Stochastic Rounding
P. D. O. Castro
El-Mehdi El Arar
E. Petit
D. Sohier
90
0
0
19 Nov 2024
AdamL: A fast adaptive gradient method incorporating loss function
Lu Xia
Stefano Massei
ODL
62
3
0
23 Dec 2023
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Spencer Frei
Quanquan Gu
41
26
0
25 Jun 2021
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Daniele Palossi
Nicky Zimmerman
Luca Bompani
Francesco Conti
H. Müller
L. Gambardella
Luca Benini
Alessandro Giusti
Jérôme Guzzi
106
51
0
19 Mar 2021
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu
Libin Zhu
M. Belkin
ODL
39
258
0
29 Feb 2020
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh N. Nguyen
Marco Mondelli
ODL
AI4CE
31
67
0
18 Feb 2020
Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang
Jungwook Choi
D. Brand
Chia-Yu Chen
K. Gopalakrishnan
MQ
48
500
0
19 Dec 2018
Low-Precision Floating-Point Schemes for Neural Network Training
Marc Ortiz
A. Cristal
Eduard Ayguadé
Marc Casas
MQ
32
22
0
14 Apr 2018
When Does Stochastic Gradient Algorithm Work Well?
Lam M. Nguyen
Nam H. Nguyen
Dzung Phan
Jayant Kalagnanam
K. Scheinberg
47
15
0
18 Jan 2018
Stability and Generalization of Learning Algorithms that Converge to Global Optima
Zachary B. Charles
Dimitris Papailiopoulos
MLT
30
162
0
23 Oct 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
221
1,208
0
16 Aug 2016
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
129
2,043
0
09 Feb 2015
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
134
582
0
12 Sep 2011
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