most citedImproved Learning-augmented Algorithms for k-means and k-medians Clustering

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 1 cited

Streaming Submodular Maximization with Differential Privacy

Anamay Chaturvedi, Huy Lê Nguyen, Thy Nguyen

In this work, we study the problem of privately maximizing a submodular function in the streaming setting. Extensive work has been done on privately maximizing submodular functions…

cs.LG2022★ 3 cited

Improved Learning-augmented Algorithms for k-means and k-medians Clustering

Thy Nguyen, Anamay Chaturvedi, Huy Lê Nguyen

We consider the problem of clustering in the learning-augmented setting, where we are given a data set in -dimensional Euclidean space, and a label for each data point given by…

cs.LG2022

An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret

Matthew Jones, Huy Lê Nguyen, Thy Nguyen

Recently a multi-agent variant of the classical multi-armed bandit was proposed to tackle fairness issues in online learning. Inspired by a long line of work in social choice and e…

cs.DS2022★ 1 cited

Fair Range k-center

Huy Lê Nguyen, Thy Nguyen, Matthew Jones

We study the problem of fairness in k-centers clustering on data with disjoint demographic groups. Specifically, this work proposes a variant of fairness which restricts each group…

cs.DS2020

Differentially Private Clustering via Maximum Coverage

Matthew Jones, Huy Lê Nguyen, Thy Nguyen

This paper studies the problem of clustering in metric spaces while preserving the privacy of individual data. Specifically, we examine differentially private variants of the k-med…