Stephen Pasteris

According to our database, Stephen Pasteris authored at least 33 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously.

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster

CoRR, 2024

Fusion Encoder Networks.

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

CoRR, 2024

Bandits with Abstention under Expert Advice.

Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster

CoRR, 2024

Adversarial Online Collaborative Filtering.

Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, André Panisson

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Sum-max Submodular Bandits.

Stephen U. Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A Hierarchical Nearest Neighbour Approach to Contextual Bandits.

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

CoRR, 2023

Regret Guarantees for Adversarial Online Collaborative Filtering.

Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile

CoRR, 2023

Nearest Neighbour with Bandit Feedback.

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Perceptronic Complexity and Online Matrix Completion.

Stephen Pasteris

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Communication-Efficient $k$k-Means for Edge-Based Machine Learning.

Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

IEEE Trans. Parallel Distributed Syst., 2022

Joint Coreset Construction and Quantization for Distributed Machine Learning.

Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris

CoRR, 2022

2021

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback.

Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Gang of Adversarial Bandits.

Mark Herbster, Stephen Pasteris, Fabio Vitale, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Learning of Facility Locations.

Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster

Proceedings of the Algorithmic Learning Theory, 2021

2020

Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations.

Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris

IEEE/ACM Trans. Netw., 2020

Online Matrix Completion with Side Information.

Mark Herbster, Stephen Pasteris, Lisa Tse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Multitask Learning with Long-Term Memory.

Mark Herbster, Stephen Pasteris, Lisa Tse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Coreset Construction and Quantization for Distributed Machine Learning.

Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

Proceedings of the 2020 IFIP Networking Conference, 2020

Communication-efficient k-Means for Edge-based Machine Learning.

Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems.

Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Multicast-Based Weight Inference in General Network Topologies.

Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris

Proceedings of the 2019 IEEE International Conference on Communications, 2019

MaxHedge: Maximizing a Maximum Online.

Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees.

Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang

CoRR, 2018

On Similarity Prediction and Pairwise Clustering.

Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster

Proceedings of the Algorithmic Learning Theory, 2018

2017

On Pairwise Clustering with Side Information.

Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster

CoRR, 2017

Data distribution and scheduling for distributed analytics tasks.

Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Efficient algorithms for online learning over graphs.

Stephen Pasteris

PhD thesis, 2016

Mistake Bounds for Binary Matrix Completion.

Mark Herbster, Stephen Pasteris, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Predicting a switching sequence of graph labelings.

Mark Herbster, Stephen Pasteris, Massimiliano Pontil

J. Mach. Learn. Res., 2015

Online Prediction at the Limit of Zero Temperature.

Mark Herbster, Stephen Pasteris, Shaona Ghosh

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Fast Product Format.

Stephen Pasteris

CoRR, 2013

Online Similarity Prediction of Networked Data from Known and Unknown Graphs.

Claudio Gentile, Mark Herbster, Stephen Pasteris

Proceedings of the COLT 2013, 2013

2012

Online Sum-Product Computation Over Trees.

Mark Herbster, Stephen Pasteris, Fabio Vitale

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012