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Data-Pooling in Stochastic Optimization

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Digitalisierung: Hannover TIB

Attribution - NonCommercial - NoDerivates 4.0 International

Location: Hannover TIB

Extent: 137MB, 00:47:44:25 (unknown)

Language: Englisch

Notes: Audiovisuelles Material

Bibliographic citation: Models and Algorithms for Sequential Decision Problems Under Uncertainty (19w5231) ; (Jan. 2019)

Event: Veröffentlichung

(who): Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

(when): 2019-01-01

Contributor: Gupta, Vishal
Kallus, Nathan

DOI: 10.5446/60453

Last update: 04.12.2024, 8:09 AM CET

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Gupta, Vishal
Kallus, Nathan
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

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2019-01-01

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Data-Pooling in Stochastic Optimization

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Other Objects (12)

Stochastic optimization methods

Dynamic stochastic optimization

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K-adaptability in stochastic optimization

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Pooling data across markets in dynamic Markov games

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A Bayesian approach to data-driven multi-stage stochastic optimization

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A Bayesian approach to data-driven multi-stage stochastic optimization

Addressing data privacy in matched studies via virtual pooling

K-adaptability in stochastic optimization

K-adaptability in stochastic optimization

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