Towards Optimal Real-Time Bidding Strategies for Display Advertising

Reference : Towards Optimal Real-Time Bidding Strategies for Display Advertising


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/41311

Title :	Towards Optimal Real-Time Bidding Strategies for Display Advertising
Language :	English
Author, co-author :	Du, Manxing [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	21-Oct-2019
Institution :	University of Luxembourg, Luxembourg, Luxembourg
Name of the degree :	Docteur de l'Université du Luxembourg en Informatique
Supervisor :	State, Radu
President of the jury :	Ottersten, Björn
Member of the jury :	Gurbani, Vijay
	Brorsson, Mats Hakan
	Valtchev, Petko
Keywords :	[en] real-time bidding ; deep reinforcement learning ; time-series
Permalink :	http://hdl.handle.net/10993/41311
FnR project :	FnR ; FNR11277622 > Manxing Du > > Self-learning predictive algorithms: from design to scalable implementation > 01/03/2016 > 31/10/2019 > 2016

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