Stephen Pasteris
Stephen Pasteris
Research Associate, University College London
Verified email at
Cited by
Cited by
Online similarity prediction of networked data from known and unknown graphs
C Gentile, M Herbster, S Pasteris
Conference on Learning Theory, 662-695, 2013
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
Mistake bounds for binary matrix completion
M Herbster, S Pasteris, M Pontil
Advances in Neural Information Processing Systems, 3954-3962, 2016
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
Predicting a switching sequence of graph labelings.
M Herbster, S Pasteris, M Pontil
Journal of Machine Learning Research 16, 2003-2022, 2015
Online prediction at the limit of zero temperature
M Herbster, S Pasteris, S Ghosh
Advances in Neural Information Processing Systems, 2935-2943, 2015
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
Online sum-product computation over trees
M Herbster, S Pasteris, F Vitale
Advances in Neural Information Processing Systems, 2870-2878, 2012
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
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
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
Online Learning of Facility Locations
S Pasteris, T He, F Vitale, S Wang, M Herbster
arXiv preprint arXiv:2007.02801, 2020
Online Matrix Completion with Side Information
M Herbster, S Pasteris, L Tse
arXiv preprint arXiv:1906.07255, 2019
On similarity prediction and pairwise clustering
S Pasteris, F Vitale, C Gentile, M Herbster
Algorithmic Learning Theory, 654-681, 2018
Efficient algorithms for online learning over graphs
SU Pasteris
UCL (University College London), 2016
A Time and Space Efficient Junction Tree Architecture
S Pasteris
arXiv preprint arXiv:1308.0187, 2013
Efficient Prediction for Tree Markov Random Fields in a Streaming Model
M Herbster, S Pasteris, F Vitale
Communication-efficient k-Means for Edge-based Machine Learning
H Lu, T He, S Wang, C Liu, M Mahdavi, V Narayanan, KS Chan, ...
Joint Coreset Construction and Quantization for Distributed Machine Learning
H Lu, C Liu, S Wang, T He, V Narayanan, KS Chan, S Pasteris
Technical Report, December 2019.[Online]. Available: https://sites. psu. edu …, 0
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