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Optimization Problems for Machine Learning: A Survey

Optimization Problems for Machine Learning: A Survey

16 January 2019
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
    AI4CE
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Papers citing "Optimization Problems for Machine Learning: A Survey"

7 / 7 papers shown
Title
Margin Optimal Classification Trees
Margin Optimal Classification Trees
Federico DÓnofrio
G. Grani
Marta Monaci
L. Palagi
10
10
0
19 Oct 2022
Optimization with Constraint Learning: A Framework and Survey
Optimization with Constraint Learning: A Framework and Survey
Adejuyigbe O. Fajemisin
Donato Maragno
D. Hertog
50
46
0
05 Oct 2021
Lossless Compression of Deep Neural Networks
Lossless Compression of Deep Neural Networks
Thiago Serra
Abhinav Kumar
Srikumar Ramalingam
6
56
0
01 Jan 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
714
0
13 Jun 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,818
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
Sparse principal component regression with adaptive loading
Sparse principal component regression with adaptive loading
Shuichi Kawano
Hironori Fujisawa
Toyoyuki Takada
T. Shiroishi
28
27
0
26 Feb 2014
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