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Georgios Paschos

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Tag: INFOCOM

C.63 Learn2MAC: Online Learning Multiple Access for URLLC Applications 

A. Destounis, D. Tsilimantos, M. Debbah, and G. Paschos – IEEE INFOCOM 2019 [arxiv.org]

C.62 Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients 

L. Vigneri, G. Paschos, and P. Mertikopoulos – IEEE INFOCOM 2019 [pdf]

C.61 Learning to Cache with No Regrets 

G. Paschos, A. Destounis, L. Vigneri, and G. Iosifidis – IEEE INFOCOM 2019 [pdf]

C.60 No Regret in Cloud Resources Reservation with Violation Guarantees 

N. Liakopoulos, G. Paschos, and T. Spyropoulos – IEEE INFOCOM 2019 [pdf]

C.51 A Resource Allocation Framework for Network Slicing 

M. Leconte, G. Paschos, P. Mertikopoulos, and U. Kozat – IEEE INFOCOM 2018 [pdf]

C.50 Robust User Association for Ultra Dense Networks 

N. Liakopoulos, G. Paschos, and T. Spyropoulos – IEEE INFOCOM 2018 [pdf]

C.49 Traffic Engineering with Precomputed Pathbooks 

M. Leconte, A. Destounis, G. Paschos – IEEE INFOCOM 2018 [pdf]

C.42 Streaming Big Data meets Backpressure in Distributed Network Computation 

A. Destounis, G. S. Paschos, and I. Koutsopoulos – IEEE INFOCOM 2016 [pdf]

C.41 Placing Dynamic Content in Caches with Small Population 

M. Leconte, G. S. Paschos, L. Gkatzikis, M. Draief, S. Vassilaras, and S. Chouvardas – IEEE INFOCOM 2016 [pdf]

C.40 Controlling Flow Reconfigurations in SDN 

S. Paris, A. Destounis, L. Maggi, G. S. Paschos, and J. Leguay – IEEE INFOCOM 2016 [pdf]

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About Me

ANNA BELL DOE

Welcome to my homepage! I am head of Research Science group at Amazon Transportation Services, Luxembourg, working in optimization and machine learning algorithms, with applications to automated and sustainable transportation.

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