148 citations
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math.ST2024
Topological Analysis for Detecting Anomalies (TADA) in Time Series
Frédéric Chazal, Martin Royer, Clément Levrard
This paper introduces new methodology based on the field of Topological Data Analysis for detecting anomalies in multivariate time series, that aims to detect global changes in the…
math.ST2021★ 1 cited
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi +1
Mixture of experts (MoE) are a popular class of statistical and machine learning models that have gained attention over the years due to their flexibility and efficiency. In this w…
math.ST2020
Reweighting samples under covariate shift using a Wasserstein distance criterion
Julien Reygner, Adrien Touboul
Considering two random variables with different laws to which we only have access through finite size iid samples, we address how to reweight the first sample so that its empirical…