Stephen Pasteris

46 papers A* 10A 2B 5Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hierarchical Nearest Neighbour Approach to Contextual Bandits. Trans. Mach. Learn. Res. Stephen Pasteris, Madeleine Dwyer, Chris Hicks, Vasilios Mavroudis
2025	J	`jnl`	Guidelines for Applying RL and MARL in Cybersecurity Applications. CoRR Vasilios Mavroudis, Gregory Palmer, Sara Farmer, Kez Smithson Whitehead, David Foster, Adam Price, Ian Miles, Alberto Caron, Stephen Pasteris
2024	B	`conf`	Adversarial Online Collaborative Filtering. ALT Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, André Panisson
2024	A*	`conf`	Bandits with Abstention under Expert Advice. NeurIPS Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024	J	`jnl`	Bandits with Abstention under Expert Advice. CoRR Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
2024	J	`jnl`	Fair Exploration and Exploitation. CoRR Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
2024	J	`jnl`	Fusion Encoder Networks. CoRR Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
2024	A*	`conf`	Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously. NeurIPS Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster
2024	J	`jnl`	Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously. CoRR Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster
2023	J	`jnl`	A Hierarchical Nearest Neighbour Approach to Contextual Bandits. CoRR Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
2023	A*	`conf`	Nearest Neighbour with Bandit Feedback. NeurIPS Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
2023	J	`jnl`	Nearest Neighbour with Bandit Feedback. CoRR Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
2023	B	`conf`	Perceptronic Complexity and Online Matrix Completion. ALT Stephen Pasteris
2023	J	`jnl`	Regret Guarantees for Adversarial Online Collaborative Filtering. CoRR Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile
2023	J	`jnl`	Sum-max Submodular Bandits. CoRR Stephen Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
2022	J	`jnl`	Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2022	J	`jnl`	Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
2021	A*	`conf`	A Gang of Adversarial Bandits. NeurIPS Mark Herbster, Stephen Pasteris, Fabio Vitale, Massimiliano Pontil
2021	J	`jnl`	Communication-efficient k-Means for Edge-based Machine Learning. CoRR Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2021	A*	`conf`	Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback. NeurIPS Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley
2021	B	`conf`	Online Learning of Facility Locations. ALT Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
2020	A	`conf`	Communication-efficient k-Means for Edge-based Machine Learning. ICDCS Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	B	`conf`	Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	J	`jnl`	Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris
2020	J	`jnl`	Online Learning of Facility Locations. CoRR Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
2020	A*	`conf`	Online Matrix Completion with Side Information. NeurIPS Mark Herbster, Stephen Pasteris, Lisa Tse
2020	A*	`conf`	Online Multitask Learning with Long-Term Memory. NeurIPS Mark Herbster, Stephen Pasteris, Lisa Tse
2020	J	`jnl`	Online Multitask Learning with Long-Term Memory. CoRR Mark Herbster, Stephen Pasteris, Lisa Tse
2019	A*	`conf`	Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
2019	A	`conf`	MaxHedge: Maximizing a Maximum Online. AISTATS Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster
2019	—	`conf`	Multicast-Based Weight Inference in General Network Topologies. ICC Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
2019	J	`jnl`	Online Matrix Completion with Side Information. CoRR Mark Herbster, Stephen Pasteris, Lisa Tse
2019	A*	`conf`	Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. INFOCOM Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
2019	J	`jnl`	Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. CoRR Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
2018	J	`jnl`	MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees. CoRR Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang
2018	B	`conf`	On Similarity Prediction and Pairwise Clustering. ALT Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster
2017	—	`conf`	Data distribution and scheduling for distributed analytics tasks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster
2017	J	`jnl`	On Pairwise Clustering with Side Information. CoRR Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster
2016	—	`—`	Efficient algorithms for online learning over graphs. Stephen Pasteris
2016	—	`conf`	Mistake Bounds for Binary Matrix Completion. NIPS Mark Herbster, Stephen Pasteris, Massimiliano Pontil
2015	—	`conf`	Online Prediction at the Limit of Zero Temperature. NIPS Mark Herbster, Stephen Pasteris, Shaona Ghosh
2015	J	`jnl`	Predicting a switching sequence of graph labelings. J. Mach. Learn. Res. Mark Herbster, Stephen Pasteris, Massimiliano Pontil
2013	J	`jnl`	Fast Product Format. CoRR Stephen Pasteris
2013	J	`jnl`	Online Similarity Prediction of Networked Data from Known and Unknown Graphs CoRR Claudio Gentile, Mark Herbster, Stephen Pasteris
2013	A*	`conf`	Online Similarity Prediction of Networked Data from Known and Unknown Graphs. COLT Claudio Gentile, Mark Herbster, Stephen Pasteris
2012	—	`conf`	Online Sum-Product Computation Over Trees. NIPS Mark Herbster, Stephen Pasteris, Fabio Vitale