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Olivier Grisel

3 accepted papers

2025

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks

AISTATS 2025poster

When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis —known as *time-to-event analysis*— focuses on predicting the time until an event of interest occurs. Multiple classes of outcomes lead to a classification variant: predictin…

Cited by 0SourceScholar
2023

False Discovery Proportion control for aggregated Knockoffs

NeurIPS 2023poster

Controlled variable selection is an important analytical step in various scientific fields, such as brain imaging or genomics. In these high-dimensional data settings, considering too many variables leads to poor models and high costs, hence the need for statistical guarantees on false positives. Kn…

2015

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data

NeurIPS 2015poster

Imaging neuroscience links human behavior to aspects of brain biology in ever-increasing datasets. Existing neuroimaging methods typically perform either discovery of unknown neural structure or testing of neural structure associated with mental tasks. However, testing hypotheses on the neural corre…