A Selection of Talks
NeuMiss networks: differentiable programming for supervised learning with missing values.
University of Montpellier.
Montpellier, Dec. 2020.
Linear predictor on linearly-generated data with missing values: non consistency and solutions.
Optimization for Machine Learning, Centre International de Rencontres Mathématiques.
Luminy, March 2020.
Cancer stratification and prognosis from mutations using gene networks.
Orsay, Nov. 2019.
Learning from genomic data: efficient representations and algorithms.
Paris, July 2018.
Scaling up the LASSO with interaction features.
Zurich, Nov. 2017.
SUQUAN: Supervised quantile normalisation.
Paris, May 2017.