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scholarly journals Algorithms for Verifying Deep Neural Networks

2021 ◽  
Vol 4 ◽  
Author(s):  
Changliu Liu ◽  
Tomer Arnon ◽  
Christopher Lazarus ◽  
Christopher Strong ◽  
Clark Barrett ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks

scholarly journals Acceleration Methods

2021 ◽  
Vol 5 (1-2) ◽  
pp. 1-245
Author(s):  
Alexandre d’Aspremont ◽  
Damien Scieur ◽  
Adrien Taylor
Keyword(s):  
Acceleration Methods

Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization

2020 ◽  
Vol 3 (4) ◽  
pp. 280-366
Author(s):  
Zhenan Fan ◽  
Halyun Jeong ◽  
Yifan Sun ◽  
Michael P. Friedlander
Keyword(s):  
Atomic Decomposition ◽  
Structured Optimization

scholarly journals Distributionally Robust Learning

2020 ◽  
Vol 4 (1-2) ◽  
pp. 1-243
Author(s):  
Ruidi Chen ◽  
Ioannis Ch. Paschalidis
Keyword(s):  
Robust Learning ◽  
Distributionally Robust

Optimization Methods for Financial Index Tracking: From Theory to Practice

2018 ◽  
Vol 3 (3) ◽  
pp. 171-279 ◽  
Author(s):  
Konstantinos Benidis ◽  
Yiyong Feng ◽  
Dajiel P. Palomar
Keyword(s):  
Optimization Methods ◽  
Index Tracking ◽  
Theory To Practice ◽  
Financial Index

scholarly journals The Many Faces of Degeneracy in Conic Optimization

2017 ◽  
Vol 3 (2) ◽  
pp. 77-170 ◽  
Author(s):  
Dmitriy Drusvyatskiy ◽  
Henry Wolkowicz
Keyword(s):  
Conic Optimization ◽  
The Many

scholarly journals The Many Faces of Degeneracy in Conic Optimization

2017 ◽  
Vol 3 (2) ◽  
pp. 77-170 ◽  
Author(s):  
Dmitriy Drusvyatskiy ◽  
Henry Wolkowicz
Keyword(s):  
Conic Optimization ◽  
The Many

scholarly journals Multi-Period Trading via Convex Optimization

2017 ◽  
Vol 3 (1) ◽  
pp. 1-76 ◽  
Author(s):  
Stephen Boyd
Keyword(s):  
Convex Optimization

Low-Rank Semidefinite Programming: Theory and Applications

2016 ◽  
Vol 2 (1-2) ◽  
pp. 1-156 ◽  
Author(s):  
Alex Lemon ◽  
Anthony Man-Cho So ◽  
Yinyu Ye
Keyword(s):  
Semidefinite Programming ◽  
Low Rank ◽  
Programming Theory
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