Pasteris, Stephen

21 publications

TMLR 2025 A Hierarchical Nearest Neighbour Approach to Contextual Bandits Stephen Pasteris, Madeleine Dwyer, Chris Hicks, Vasilios Mavroudis
NeurIPS 2025 Statistical Parity with Exponential Weights Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
ALT 2024 Adversarial Online Collaborative Filtering Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, Andre Panisson
NeurIPS 2024 Bandits with Abstention Under Expert Advice Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
ICMLW 2024 Bandits with Abstention Under Expert Advice Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
NeurIPS 2024 Online Convex Optimisation: The Optimal Switching Regret for All Segmentations Simultaneously Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster
ICMLW 2024 Sum-Max Submodular Bandits Stephen Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
NeurIPS 2023 Nearest Neighbour with Bandit Feedback Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
ALT 2023 Perceptronic Complexity and Online Matrix Completion Stephen Pasteris
NeurIPS 2021 A Gang of Adversarial Bandits Mark Herbster, Stephen Pasteris, Fabio Vitale, Massimiliano Pontil
NeurIPS 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
ALT 2021 Online Learning of Facility Locations Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
NeurIPS 2020 Online Matrix Completion with Side Information Mark Herbster, Stephen Pasteris, Lisa Tse
NeurIPS 2020 Online Multitask Learning with Long-Term Memory Mark Herbster, Stephen Pasteris, Lisa Tse
AISTATS 2019 MaxHedge: Maximizing a Maximum Online Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang, Mark Herbster
ALT 2018 On Similarity Prediction and Pairwise Clustering Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster
NeurIPS 2016 Mistake Bounds for Binary Matrix Completion Mark Herbster, Stephen Pasteris, Massimiliano Pontil
NeurIPS 2015 Online Prediction at the Limit of Zero Temperature Mark Herbster, Stephen Pasteris, Shaona Ghosh
JMLR 2015 Predicting a Switching Sequence of Graph Labelings Mark Herbster, Stephen Pasteris, Massimiliano Pontil
COLT 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs Claudio Gentile, Mark Herbster, Stephen Pasteris
NeurIPS 2012 Online Sum-Product Computation over Trees Mark Herbster, Stephen Pasteris, Fabio Vitale