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Stochastic Gradient Descent: Going As Fast As Possible But Not Faster
5 September 2017
Alice Schoenauer Sebag
Marc Schoenauer
Michèle Sebag
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Papers citing
"Stochastic Gradient Descent: Going As Fast As Possible But Not Faster"
4 / 4 papers shown
Cumulative Learning Rate Adaptation: Revisiting Path-Based Schedules for SGD and Adam
Asma Atamna
Tom Maus
Fabian Kievelitz
Tobias Glasmachers
68
0
0
07 Aug 2025
Flexible numerical optimization with ensmallen
Ryan R. Curtin
Marcus Edel
Rahul Prabhu
S. Basak
Zhihao Lou
Conrad Sanderson
177
1
0
09 Mar 2020
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Neural Information Processing Systems (NeurIPS), 2019
Sharan Vaswani
Aaron Mishkin
I. Laradji
Mark Schmidt
Gauthier Gidel
Damien Scieur
ODL
441
231
0
24 May 2019
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Estefanía Talavera
Syeda Furruka Banu
Petia Radeva
D. Puig
EgoV
193
13
0
29 Aug 2018
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