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~accessRights:"free"
~isPartOf:"Working papers / TSE : WP"
~language:"eng"
~language:"ita"
~person:"Pauwels, Edouard"
~subject:"Income distribution"
~subject:"Theorie"
~type:"book"
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Pauwels, Edouard
Cremer, Helmuth
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The iterates of the Frank-Wolfe algorithm may not converge
Bolte, Jérôme
;
Combettes, Cyrille W.
;
Pauwels, Edouard
-
2022
Persistent link: https://www.econbiz.de/10012888152
Saved in:
2
Nonsmooth implicit differentiation for machine learning and optimization
Bolte, Jérôme
;
Le, Tam
;
Pauwels, Edouard
; …
-
2022
Persistent link: https://www.econbiz.de/10013170004
Saved in:
3
Subgradient sampling for nonsmooth nonconvex minimization
Bolte, Jérôme
;
Le, Tam
;
Pauwels, Edouard
-
2022
Persistent link: https://www.econbiz.de/10012888151
Saved in:
4
Curiosities and counterexamples in smooth convex optimization
Bolte, Jérôme
;
Pauwels, Edouard
-
2020
-
Draft of January 21, 2020
Persistent link: https://www.econbiz.de/10012194774
Saved in:
5
"Long term dynamics of the subgradient method for Lipschitz path differentiable functions"
Bolte, Jérôme
;
Pauwels, Edouard
;
Rios-Zertuche, Rodolfo
-
2020
Persistent link: https://www.econbiz.de/10012264645
Saved in:
6
Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
Bolte, Jérôme
;
Pauwels, Edouard
-
2019
Persistent link: https://www.econbiz.de/10012182324
Saved in:
7
An inertial Newton algorithm for deep learning
Bolte, Jérôme
;
Castera, Camille
;
Pauwels, Edouard
; …
-
2019
Persistent link: https://www.econbiz.de/10012182314
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