Články se zplnomocněním k veřejnému přístupu - Stephen PasterisDalší informace
Dostupné někde: 15
Service placement with provable guarantees in heterogeneous edge computing systems
S Pasteris, S Wang, M Herbster, T He
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 514-522, 2019
Zplnomocnění: US Department of Defense
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
YZJ Chen, S Pasteris, M Hajiesmaili, J Lui, D Towsley
Advances in Neural Information Processing Systems 34, 2021
Zplnomocnění: US National Science Foundation, US Department of Defense
Looking glass of NFV: Inferring the structure and state of NFV network from external observations
Y Lin, T He, S Wang, K Chan, S Pasteris
IEEE/ACM Transactions on Networking, 2020
Zplnomocnění: US Department of Defense
Mistake bounds for binary matrix completion
M Herbster, S Pasteris, M Pontil
Advances in Neural Information Processing Systems, 3954-3962, 2016
Zplnomocnění: UK Engineering and Physical Sciences Research Council
Online Matrix Completion with Side Information
M Herbster, S Pasteris, L Tse
Advances in Neural Information Processing Systems 33, 2020
Zplnomocnění: US Department of Defense, UK Engineering and Physical Sciences Research Council
Predicting a switching sequence of graph labelings.
M Herbster, S Pasteris, M Pontil
Journal of Machine Learning Research 16, 2003-2022, 2015
Zplnomocnění: UK Engineering and Physical Sciences Research Council
A Gang of Adversarial Bandits
M Herbster, S Pasteris, F Vitale, M Pontil
Advances in Neural Information Processing Systems 34, 2021
Zplnomocnění: US Department of Defense, UK Engineering and Physical Sciences Research Council
An algorithm for model fusion for distributed learning
D Verma, S Chakraborty, S Calo, S Julier, S Pasteris
Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018
Zplnomocnění: US Department of Defense
Data distribution and scheduling for distributed analytics tasks
S Pasteris, S Wang, C Makaya, K Chan, M Herbster
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017
Zplnomocnění: US Department of Defense
Multicast-based weight inference in general network topologies
Y Lin, T He, S Wang, K Chan, S Pasteris
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
Zplnomocnění: US Department of Defense
Online Multitask Learning with Long-Term Memory
M Herbster, S Pasteris, L Tse
arXiv preprint arXiv:2008.07055, 2020
Zplnomocnění: US Department of Defense, UK Engineering and Physical Sciences Research Council
Online Learning of Facility Locations
S Pasteris, T He, F Vitale, S Wang, M Herbster
Algorithmic Learning Theory, 1002-1050, 2021
Zplnomocnění: US Department of Defense
MaxHedge: Maximizing a Maximum Online
S Pasteris, F Vitale, K Chan, S Wang, M Herbster
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Zplnomocnění: US Department of Defense, European Commission
On similarity prediction and pairwise clustering
S Pasteris, F Vitale, C Gentile, M Herbster
Algorithmic Learning Theory, 654-681, 2018
Zplnomocnění: US Department of Defense, European Commission
Perceptronic Complexity and Online Matrix Completion
S Pasteris
International Conference on Algorithmic Learning Theory, 1261-1291, 2023
Zplnomocnění: UK Engineering and Physical Sciences Research Council
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