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Principled Deep Neural Network Training through Linear Programming

Principled Deep Neural Network Training through Linear Programming

7 October 2018
D. Bienstock
Gonzalo Muñoz
S. Pokutta
ArXivPDFHTML

Papers citing "Principled Deep Neural Network Training through Linear Programming"

5 / 5 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
91
32
0
29 Apr 2023
Globally Optimal Training of Neural Networks with Threshold Activation
  Functions
Globally Optimal Training of Neural Networks with Threshold Activation Functions
Tolga Ergen
Halil Ibrahim Gulluk
Jonathan Lacotte
Mert Pilanci
60
8
0
06 Mar 2023
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
Training Fully Connected Neural Networks is ∃R\exists\mathbb{R}∃R-Complete
Daniel Bertschinger
Christoph Hertrich
Paul Jungeblut
Tillmann Miltzow
Simon Weber
OffRL
54
30
0
04 Apr 2022
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Carles Roger Riera Molina
Camilo Rey
Thiago Serra
Eloi Puertas
O. Pujol
22
4
0
30 Jan 2022
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
173
596
0
22 Sep 2016
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