A principled approach for comparing Variable Importance
Talk, Workshop: Methods for Explainable Machine Learning in Health Care, Amsterdam, Netherlands
Talks and presentations
A principled approach for comparing Variable Importance
Talk, VITE2025 : Explanability for high-dimensional statistics, Montpellier, France
Sobol-CPI: a Doubly Robust Conditional Permutation Importance Statistic
Talk, 56th Journées de Statistique de la SFdS, Marseille, France
A primer on classification with missing values
Talk, 56th Journées de Statistique de la SFdS, Marseille, France
When knockoffs fail: diagnosing and fixing non-exchangeability of knockoffs
Talk, Invited speaker at the 10th Channel Network Conference, Liège, Belgium
A primer on linear classification with missing data
Poster, 28th International Conference on Artificial Intelligence and Statistics (AISTATS), Phuket, Thailand
Robust-CPI: A Double Robust Approach to improve Variable Selection.
Talk, Workshop on statistical inference for complex data, Alan Turing building, Inria Saclay, France
Inferring variable importance and controlled variable selection
Talk, Second year of MSc in Mathematics and AI internship presentation, Institut de Mathémathiques d'Orsay, Université Paris-Saclay, France
Problematic of inferring variable importance with high-dimensional and correlated settings
Poster, Poster session, ELLIS Doctoral Symposium 2024, Paris, France
Prediction with missing values and linear classifiers
Talk, First year of MSc in Mathematics and AI internship presentation, Institut de Mathémathiques d'Orsay, Université Paris-Saclay, France