3 papers
stat.ML2024
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Julie Alberge, Vincent Maladière, Olivier Grisel +2
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 predi…
cs.AI2024
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Julie Alberge, Vincent Maladière, Olivier Grisel +2
When data are right-censored, i.e. some outcomes are missing due to a limited period of observation, survival analysis can compute the "time to event". Multiple classes of outcomes…
cs.LG2018
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
Sergul Aydore, Bertrand Thirion, Gael Varoquaux
In many applications where collecting data is expensive, for example neuroscience or medical imaging, the sample size is typically small compared to the feature dimension. It is ch…