Stéphan Clemencon — accepted AI-conference papers

2017

A Learning Theory of Ranking Aggregation

Anna Korba, Stéphan Clemencon, Eric Sibony

AISTATS 2017poster

Originally formulated in Social Choice theory, Ranking Aggregation, also referred to as Consensus Ranking, has motivated the development of numerous statistical models since the middle of the 20th century. Recently, the analysis of ranking/preference data has been the subject of a renewed interest i…

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2017

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere

Albert Thomas, Stéphan Clemencon, Alexandre Gramfort, Anne Sabourin

AISTATS 2017poster

Extreme regions in the feature space are of particular concern for anomaly detection: anomalies are likely to be located in the tails, whereas data scarcity in such regions makes it difficult to distinguish between large normal instances and anomalies. This paper presents an unsupervised algorithm f…

Cited by 23 Source ↗PDF ↗Scholar ↗