output
20062026
most citedOn adaptive inference and confidence bands

71 citations

50 papers

q-fin.RM2026

Cloud failure and cyber insurance: calibration of stress scenarios and diversification

Olivier Lopez, Daniel Nkameni

The expansion of the cyber insurance market remains exposed to the threat of accumulation events that could simultaneously affect a large number of policyholders. Although few such…

cs.LG2026

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence

Antoine Heranval, Olivier Lopez, Didier Ngatcha +1

According to the United Nations Office for Disaster Risk Reduction (2025), the average annual cost of natural catastrophes increased from 70--80 billion USD between 1970 and 2000 t…

cs.LG2026

Unsupervised Anomaly Detection in NSL-KDD Using -VAE: A Latent Space and Reconstruction Error Approach

Dylan Baptiste, Ramla Saddem, Alexandre Philippot +1

As Operational Technology increasingly integrates with Information Technology, the need for Intrusion Detection Systems becomes more important. This paper explores an unsupervised…

stat.ME2025

Nonparametric intensity estimation of spatial point processes by random forests

Christophe Biscio, Frédéric Lavancier

We propose a random forest estimator for the intensity of spatial point processes, applicable with or without covariates. It retains the well-known advantages of a random forest ap…

math.ST2025

Goodness-of-fit testing of the distribution of posterior classification probabilities for validating model-based clustering

Salima El Kolei, Matthieu Marbac

We present the first method for assessing the relevance of a model-based clustering result in a general framework. Standard validation criteria, like the adjusted Rand index, rely…

cs.DS2025

Online matching on stochastic block model

Maria Cherifa, Clément Calauzènes, Vianney Perchet

While online bipartite matching has gained significant attention in recent years, existing analyses in stochastic settings fail to capture the performance of algorithms on heteroge…