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Mathilde MOUGEOT

2 accepted papers

2025

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm

AAAI 2025technical

This paper proposes a novel k-medoids approximation algorithm to handle large-scale datasets with reasonable computational time and memory complexity. We develop a local-search algorithm that iteratively improves the medoid selection based on the estimation of the k-medoids objective. A single batch…

2022

Discrepancy-Based Active Learning for Domain Adaptation

ICLR 2022poster

The goal of the paper is to design active learning strategies which lead to domain adaptation under an assumption of Lipschitz functions. Building on previous work by Mansour et al. (2009) we adapt the concept of discrepancy distance between source and target distributions to restrict the maximizati…

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