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06/23/2023
Nearest Neighbour with Bandit Feedback
In this paper we adapt the nearest neighbour rule to the contextual band...
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02/11/2023
Regret Guarantees for Adversarial Online Collaborative Filtering
We investigate the problem of online collaborative filtering under no-re...
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04/13/2022
Joint Coreset Construction and Quantization for Distributed Machine Learning
Coresets are small, weighted summaries of larger datasets, aiming at pro...
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02/08/2021
Communication-efficient k-Means for Edge-based Machine Learning
We consider the problem of computing the k-means centers for a large hig...
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08/17/2020
Online Multitask Learning with Long-Term Memory
We introduce a novel online multitask setting. In this setting each task...
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07/06/2020
Online Learning of Facility Locations
In this paper, we provide a rigorous theoretical investigation of an onl...
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06/17/2019
Online Matrix Completion with Side Information
We give an online algorithm and prove novel mistake and regret bounds fo...
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06/17/2019
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
Mobile edge computing (MEC) is a promising technique for providing low-l...
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10/28/2018
MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees
We introduce a new online learning framework where, at each trial, the l...
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07/31/2013
