Stephen Pasteris

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 32

Top Venues

CoRR

NeurIPS

ALT

NIPS

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Nearest Neighbour with Bandit Feedback. CoRR (2023)
Stephen Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
Sum-max Submodular Bandits. CoRR (2023)
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Nearest Neighbour with Bandit Feedback. NeurIPS (2023)
Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile
Regret Guarantees for Adversarial Online Collaborative Filtering. CoRR (2023)
Stephen Pasteris
Perceptronic Complexity and Online Matrix Completion. ALT (2023)
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
A Hierarchical Nearest Neighbour Approach to Contextual Bandits. CoRR (2023)
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR (2022)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. CoRR (2021)
Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback. NeurIPS (2021)
Mark Herbster, Stephen Pasteris, Fabio Vitale, Massimiliano Pontil
A Gang of Adversarial Bandits. NeurIPS (2021)
Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
Online Learning of Facility Locations. ALT (2021)
Mark Herbster, Stephen Pasteris, Lisa Tse
Online Multitask Learning with Long-Term Memory. NeurIPS (2020)
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking (2020)
Mark Herbster, Stephen Pasteris, Lisa Tse
Online Multitask Learning with Long-Term Memory. CoRR (2020)
Mark Herbster, Stephen Pasteris, Lisa Tse
Online Matrix Completion with Side Information. NeurIPS (2020)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS (2020)
Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
Online Learning of Facility Locations. CoRR (2020)
Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris
Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. 28 (4) (2020)
Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster
MaxHedge: Maximizing a Maximum Online. AISTATS (2019)
Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. CoRR (2019)
Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
Multicast-Based Weight Inference in General Network Topologies. ICC (2019)
Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM (2019)
Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. INFOCOM (2019)
Mark Herbster, Stephen Pasteris, Lisa Tse
Online Matrix Completion with Side Information. CoRR (2019)
Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees. CoRR (2018)
Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster
On Similarity Prediction and Pairwise Clustering. ALT (2018)
Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster
On Pairwise Clustering with Side Information. CoRR (2017)
Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster
Data distribution and scheduling for distributed analytics tasks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
Mistake Bounds for Binary Matrix Completion. NIPS (2016)
Mark Herbster, Stephen Pasteris, Shaona Ghosh
Online Prediction at the Limit of Zero Temperature. NIPS (2015)
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
Predicting a switching sequence of graph labelings. J. Mach. Learn. Res. 16 (2015)
Claudio Gentile, Mark Herbster, Stephen Pasteris
Online Similarity Prediction of Networked Data from Known and Unknown Graphs. COLT (2013)
Stephen Pasteris
Fast Product Format. CoRR (2013)
Claudio Gentile, Mark Herbster, Stephen Pasteris
Online Similarity Prediction of Networked Data from Known and Unknown Graphs CoRR (2013)
Mark Herbster, Stephen Pasteris, Fabio Vitale
Online Sum-Product Computation Over Trees. NIPS (2012)

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Publication Activity (10 Years)

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Stephen Pasteris