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Evolving hybrid deep neural network models for
end-to-end
inventory ordering decisions
Moraes, Thais de Castro
;
Qin, Jiancheng
;
Yuan, Xue-ming
; …
- In:
Logistics
7
(
2023
)
4
,
pp. 1-18
data in data-driven
end-to-end
(E2E) frameworks to enhance inventory decision-making have gained recognition. However …
Persistent link: https://www.econbiz.de/10014454535
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2
A survey of contextual optimization methods for decision making under uncertainty
Sadana, Utsav
;
Chenreddy, Abhilash
;
Delage, Erick
; …
-
2023
Persistent link: https://www.econbiz.de/10014304851
Saved in:
3
Debiasing in-sample policy performance for small-data, large-scale optimization
Gupta, Vishal
;
Huang, Michael
;
Rusmevichientong, Paat
- In:
Operations research
72
(
2024
)
2
,
pp. 848-870
Persistent link: https://www.econbiz.de/10014520989
Saved in:
4
Fast rates for contextual linear optimization
Hu, Yichun
;
Kallus, Nathan
;
Mao, Xiaojie
- In:
Management science : journal of the Institute for …
68
(
2022
)
6
,
pp. 4236-4245
Persistent link: https://www.econbiz.de/10013369049
Saved in:
5
Risk guarantees for
end-to-end
prediction and optimization processes
Ho-Nguyen, Nam
;
Kılınç-Karzan, Fatma
- In:
Management science : journal of the Institute for …
68
(
2022
)
12
,
pp. 8680-8698
Persistent link: https://www.econbiz.de/10014282560
Saved in:
6
Braided cobwebs : cautionary tales for dynamic retail pricing in
end-to-end
power systems
Thomas, Auswin George
;
Tesfatsion, Leigh
-
2017
-
Latest revision March 28, 2018
Persistent link: https://www.econbiz.de/10011894118
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